7 Growing Cybersecurity Threats Professionals are Increasingly Worried About

The new softwares and systems that are employed across an organization create new attack vectors for threat actors and new data security concerns. Not only that but as these new digital systems are put into use to replace once manual tasks additional complications arise from potential user errors, for example, an employee might make private data public without even realising. 

In this article, we take a look at 7 of the growing concerns that cyber and infosec professionals hold as this trend towards digitizations continues at an increasingly explosive pace.

1. Unintentional Data Exposure

“To err is human,“ as Alexander Pope famously wrote. We all make mistakes and to combat this we have progressively leveraged more technology across industries to automate processes and reduce the potential for human error. However, technology can’t prevent our every mistake, and paradoxically, this use of technology increases the amount of data we as people and organizations produce and store in our systems. Hackers are aware of this and continue to find creative ways to exploit human weakness with strategies such as complex phishing campaigns.  

On top of this, the adoption and rapid development of hardware (phones, for example) mean many people conduct work from their personal mobile device. And the move towards work from home driven by the COVID-19 pandemic has furthered this merger of work and personal devices as well as increased the amount of work done from unsecured networks.

2. Adoption of AI into Malware for Scale and Evasion

Denial of service attacks can take a variety of forms, from malware to DDoS attacks, and have huge financial implications for an organization. In 2018, for example, shipping giant Maersk had their IT systems taken out by a vicious malware called NotPetya, costing them an estimate $300 million.

These ransomware attacks might be driven by political motives, thoughts of financial gain, or something else entirely. Over the last few years, these tactics have evolved they’ve adopted new technologies and strategies allowing threat actors to increase both the scale of the attacks, as well as to more effectively neutralize increasingly complex security protocols.

One increasing concern is the adoption of AI into these attacks. AI can be used in a variety of ways, such as increasing the effectiveness of phishing campaigns. One example was developed by IBM Research, DeepLocker. DeepLocker hides its malicious payload in benign carrier applications, such as a video conference software, to avoid detection by most antivirus and malware scanners and then uses facial recognition to identify the specific target and launch its payload.

How AI is used to could completely change the way information security and cybersecurity professionals, in general, need to adapt and respond to threats.

3. Financial Fraud

Financial fraud off the back of data breaches is nothing new. However, it continues to be a problem today and into the foreseeable future. Data breaches from large organizations, whether they are related to your organization or not could easily lead to new attack vectors on your company.

There is a huge amount of Personal Identifiable Information (PII) for sale on the dark web. This data can be used in a number of ways, from credential stuffing strategies to identifying high-value targets and refining strategies for spear-phishing campaigns.

4. 3rd Party Integrations

Often organizations spend a huge amount of time and money ensuring their internal cybersecurity practices are excellent. It only takes one breach to realize the efficacy of this investment. Successful ransomware, for example, against an organization for example could cost tens of millions not even considering the reputational damages that might accompany the financial ones.

However, as was seen with the 2020 SolarWinds breach, it doesn’t matter how well educated your staff, how up to date your firewalls, how alert your security teams are if your third party integrations have weaknesses.

5. Increasing Amounts of Sensitive Data Collected Through IoT Devices

Internet of Things (IoT) devices is beginning to infiltrate every level of our lives. From mobile robots, to inventory tracking, to personal assistants, connected speakers and smart TVs. These devices seek to automate and simplify our lives.

However, what many people don’t realize is that these machines are often insecure by design and offer attackers new opportunities. Additionally, the terms and conditions around data sharing and usage from many of these devices lack transparency, and by utilizing this technology an organization makes it increasingly difficult to know and control what data is going out.

Finally, it’s often the case that, while a vendor may recommend applying new firmware updates, they are not applied unless the device starts misbehaving and someone applies the update to troubleshoot the issue. This could lead to serious security compromises.

6. Rise of Fake Online Personas

This threat can have a direct and dramatic impact on organizations reputation and the physical security of employees. By creating and leveraging fake or phantom social profiles threat actors can create trending news and information, promote poor products, or push lies and deceptions to further an agenda. 

The application for these kinds of campaigns is vast, affecting everything from national elections to company sales and share prices, and there is currently no system in place to identify false profiles efficiently and counter the purposeful spread of misinformation in this way. 

7. Shortfall of Professionals

The final security risk on the list is the continued shortage of skilled security workers. As cybersecurity threats evolve, and areas such as information security become more important for organizational security, increasing numbers of skilled and trained professionals will be needed.

Finals Words

Many people are now desensitized to the fact their data is shared online either through breaches or loose company policies. Because we cannot regain our privacy, they often become careless about protecting it further. Add to this the constant evolution of cybersecurity threats, and the challenge for cybersecurity professionals looks like a tough one. 

To ensure organizational security, companies need a combined response, that includes continuous education of employees, restricted accesses, and multi-factor authentication. This needs to be paired with a skilled security team who are armed with the necessary knowledge and tools such as OSINT software.

Security professionals need to be able to gather real-time data on emerging threats and proactively implement an effective response. 

5 Lessons Organizations Can Learn from the Worst Data Breaches of 2020

While data breaches are invariably costly for organizations, the fallout from a data breach isn’t always the same. There are numerous motivations for threat actors and an even greater number of strategies that they employ to achieve their varied goals. As such, it falls to security professionals can continuously learn from the ongoing cyberattacks the best ways to predict and prevent cyber breaches in a constantly evolving threat landscape.

In this article, we take a look at 5 of the lessons that can be learnt from some of the biggest cyberattacks of 2020.

1. 3rd party integrations create new attack surfaces

The recent breach of SolarWinds allowed foreign agents to access and spread malware to numerous government agencies and high-value US targets. These threat actors knew they could likely never penetrate these targets directly, and instead discovered they all used the same software for network management - SolarWinds. 

The attack spread a malware which lay unnoticed in the system for months as the attackers are believed to have observed and gathered data on their targets.

The key take away from this hack is that no matter how excellent and strict your own system’s security is, if the 3rd party systems you use have a weakness, then so do you. This is especially important as systems become increasingly interconnected, with a myriad of moving parts provided by dozens of different vendors. 

While you can’t and shouldn’t simply wall of your systems with a trust no-one approach, organizations also mustn’t take third-party solution provider’s security for granted. Conduct rigorous, ongoing security audits of your systems to be sure there’s not a nasty surprise hiding around the corner.

2. You need clarity across your organization’s security

As an organization grows in size and complexity, often, as we mentioned above, integrating and employing 3rd party vendors, the number of attack surfaces grows too. Organizations need systems in place to maintain clarity over the entirety of their IT security.

In July, Garmin was locked out of its own systems by ransomware and ended up having to pay millions in ransom for the decryption key. 

Garmin faced an impossible situation. While law enforcement officials and cybersecurity experts repeatedly warn companies not to pay ransomware attackers as it encourages further ransomware attacks, companies like Garmin are often left with no other choice. 

As such, companies need to employ systems, security protocols, and training to prevent ransomware.

For businesses like this, it’s vital to have systems in place to maintain a vigilant security posture toward every possible vector for attack.

3. Humans are the weakest link

Social engineering tactics can range from rather obvious emails from Nigerian princes to complex multi-step and highly targeted spear-phishing campaigns. In late 2020 the latter is what happened to Twitter, with numerous employees targeted with a strikingly elaborate spear-phishing campaign. The strategy involved multiple steps including tricking an employees phone carrier, pretending to be a member of the I.T. team, and creating fake login pages.

Once they had an employees admin account login they hijacked multiple high profile Twitter accounts and launched a Bitcoin scam that saw them making off with over $100,000 in less than an hour before it was stopped. Though this attack certainly could have been worse, it shows how one of a companies biggest vulnerabilities is compromised employee credentials. 

There are a couple of things that can be done to protect against employee weakness in your security defences. These include restricting employee access to sensitive data. Ensuring you offboard, and remove access to systems for old employees, implementing strong authentication protocols such as multi-factor authentication, and regular security training sessions for staff 

4. Only store data vital to providing your service

In July of 2020 GEDMatch, a DNA genealogy site was hacked. The hackers changed the user’s privacy settings - opting everyone in to share their data with law enforcement. The hack exposed the data of around 1.4 million people.

Thankfully, GEDMatch later announced that no raw DNA files had been compromised as no raw data is stored on the site. Instead, the data is encoded when it’s uploaded and the raw file deleted immediately. The key lesson here is that GEDMatch followed good practice, not storing any sensitive raw data and thus eliminating a potentially serious attack vector meaning the failure of one control did not lead to the attackers progressing beyond their initial intrusion.

If you can avoid storing highly sensitive data — such as passwords, payment information, or biometric data — on your own servers, do so. Deleting raw DNA data helped minimize the damage to GEDMatch in this breach.

5. People aren’t going to stop reusing passwords

The majority of people on the internet don’t know the best online security practices and many reuse the same tired old password across numerous websites. This has lead to a rise in popularity of one of the most common attack strategies employed by threat actors, credential stuffing. This is when they buy large datasets of login details, eg. passwords and user names, and apply them to other sites. While the strike rate is generally quite low, this strategy of credential stuffing does work. This is what happened to several insurance companies in 2020 including Independence Blue Cross. 

Independence Blue Cross reported that their member portals had been improperly accessed by hackers reusing credentials stolen from MyFitnessPal in an attack from 2018.

People aren’t going to stop reusing passwords anytime soon, but businesses can still guard against credential stuffing. One crucial step is to implement strong authentication protocols such as multi-factor authentication or adaptive authentication, which asks users for more credentials if their behavior is suspicious. In this case, it could have noticed that members were logging in with new I.P. addresses or at an unusual time of day, and asked them to confirm their identity.

Final Words

Organizations are increasingly connected online, using a myriad of integrations and tools to create better, more user-friendly solutions. Additionally, as we all become more technologically literate and engage more and more online there is an increasing amount of users data stored on organizational systems.

This means that the number of attack surfaces that organizations have to be aware of is continuously growing, and so too are the opportunities for attackers to achieve their goals. Whether it’s foreign espionage, idealogical fanatacism, or for personal financial gain.

Ultimately, we’re all in this together, a data breach or successful attack on one company could easily have ramifications against your own organizations. As such, employing the right tools, such as an OSINT tool like Signal, to monitor, detect and better protect against potential threats in this growing threat landscape has never been more important. 

12 of the Biggest Ransomware Attacks of 2020

Ransomware is a form of malware which is installed on a victims device or devices with the main objective of seizing and/or locking away sensitive data. As the name suggests in order for a victim to regain access to their data and systems they need to pay a ransom. More often than not, the two options a victim is presented with when they succumb to a ransomware attack is to either rebuild their systems from scratch and potentially have the attacker leak the data online - or pay up.

As such, it’s unsurprising that, in our increasingly digital age with more and more data on the cloud, that the number of attacks and the success of ransomware attacks is on the rise. Approximately 58% of ransomware victims paid in 2020, compared to 39% in 2017.

Ransoms for these kinds of attacks range from a few hundred dollars to thousands or even millions of dollars payable in cryptocurrency such as Bitcoin. In return for the payout, the attackers will release a decryption key allowing the organization to return to business. Certain industries, such as government organizations and hospitals are more susceptible to ransomware attacks due to the nature of the work that they do often being time-sensitive. For example, a ransomware attack crippled a hospital in Germany, leading directly to one patient’s death.  

There are numerous strategies that ransomware attackers employ to gain access to a victims database. One of the most common though is through social engineering tactics, such as phishing emails. Cybercriminals can make these emails look exactly like trustworthy emails from official sources, tricking victims into downloading compromised software onto their device. 

Because of the nature of social engineering tactics, and the evolving cyber threat landscape no organization can ever be fully secure from malware threats. Below we outline 12 of the biggest ransomware attacks that occurred in 2020.

12 Ransomware Attacks that Happened in 2020

1. ISS World 

Estimated cost: $74 million 

In February of 2020 ISS world, a Denmark based company went down due to a ransomware attack. Thousands of employees were left without access to their systems and emails. This cost them an estimated $74 million which includes regaining control of the affected IT systems and re-launching critical business systems. 

2. Cognizant

Estimated cost: $50 million

A ransomware attack on the organization Cognizant in April of 2020 is said to have cost the company over $50 million, potentially as much as $70 million, including legal and consultation costs and data recovery costs, along with the financial loss reflected in their second-quarter earning in 2020.

3. Sopra Steria 

Estimated cost: $50 million

The company Sopra Steria revealed that they were hit by hackers using a new version of the Ryuk ransomware in October.

They estimate that the fallout, including dealing with the various systems that went out of action, is likely to have a gross negative impact on operating margin of between €40 million and €50 million.

4. Redcar and Cleveland Council 

Estimated cost: $14 million

Redcar and Cleveland Council in the UK suffered an attack on their systems in February of 2020 costing the council an estimated $14 million.  The ransomware attack is said to have disrupted the company’s network, tablets, computers, and mobile devices for 3 full weeks. The council announced that in March, that it could take months for a full recovery and estimated the overall costs to be between $14 - $21 million.

5. Software AG

Estimated cost: $20 million

Software AG is the second-largest software vendor in Germany. They were reportedly hit with the Clop ransomware in an attack in October of 2020. The company disclosed that the ransomware attack disrupted a part of its internal network but didn’t affect customer services. The cybercriminal group responsible demanded a $23 million ransom.

7. Travelex

Estimated cost: $2.3 million

It was reported that Travelex the money exchange firm was hit with a file-encrypting malware attack which shut down its internal networks, website and apps for several weeks. Reportedly Travelex paid a ransom of $2.3 million in BTC to the dark actors to regain access to their data and restore services.

8. University of California San Francisco (UCSF)

Estimated cost: $1.14 million

UCSF was targeted by a malware attack which encrypted servers used by the school of medicine impacting students in June of 2020. The ransomware was prevented from travelling to the core UCSF network and causing more damage. The authorities negotiated with the cybercriminals and UCSF ended up paying approximately $1.14 million in ransom of the $3 million demanded. 

9. Shirbit Insurance 

Estimated cost: $1million

After a cyberattack on the Israeli Insurance provider Shirbit in December of 2020 the attackers demanded roughly $1 million in Bitcoin. In order to pressure the company into paying they demanded immediate payment or an increase in the ransom cost, doubling after 24 hours. Additionally, to show they weren’t empty threats they dumped the first 300 records online, again threatening to dump additional records every 24 hours until they received payment.

10. Communications and Power industries 

Estimated cost: $500,000

California-based Communications & Power Industries (CPI) makes components for military devices and equipment, like radar, missile seekers and electronic warfare technology. The company counts the U.S. Department of Defense and its advanced research unit DARPA as customers. Reportedly, CPI paid $500,000 to obtain the decryption key to unlock their servers and return services.

11. Grubman Shire Meiselas & Sacks 

Estimated cost: $365,000

Grubman Shire Meiselas & Sacks is a law firm that specializes in law for those in the media and entertainment industry. Their clients consist of a range of A-list celebrities and, with such high profile individuals on the line, the stakes for them were extremely high. They were targeted and files encrypted by REvil ransomware. The firm agreed to pay an estimated $365,000, however, the attackers started demanding more afterwards and the company has since kept quiet on what it has or is willing to pay.

12. Tillamook County 

Estimated cost: $300,000

Tillamook county in the US was attacked by cyber attackers in January. The attack interrupted their email network, phone systems and website. After exhausting alternative options, they estimated the costs to restore service would cost well over $1 million and take several years and opted instead to pay the $300,000 ransom. 

Keeping your data and organization secure

1. Never click on suspicious links or any links attached in unsolicited emails. 

2. Back up systems and data continuously. Create a separate data-backup in an external hard drive that is not connected to your computer, so that you don’t have to pay the ransom if a ransomware attack happens.

3. Never disclose personal information over the phone or over email. 

4. Educate employees of cybersecurity best practices and social engineering tactics that may be used against them.

5. Limit employee access to sensitive data to reduce attack surfaces.

OSINT Tools and Mitigating Costly Ransomware Attacks

Early warning of data beaches through OSINT tools can help you predict and prevent cyber attacks as well as enable organizations to take mitigating actions faster. While open-source intelligence tools can’t prevent ransomware, they can help organizations reduce the risks and potential damages. 

OSINT tools can be used by organizations to monitor their supply chains, allowing them to learn of potential disruptions in real-time and enabling them to implement contingency plans fast. 

Additionally, organizations can use tools like Signal to monitor for ransomware and malware currently being used. This can help security teams determine emerging threats being used against other organizations in their industry to better inform ongoing cybersecurity best practices.

Ultimately, by using OSINT to monitor darknet forums and market places security professionals are able to learn about the newest strategies being employed, the most recent weaknesses being exploited, and the most current software being utilized. Armed with this knowledge they are much more able to develop effective countermeasures as well as actively prevent ransomware infection.

How Machine Learning is Changing Modern Security Intelligence

A key challenge facing modern security teams is the explosion of new potential threats, both cyber and physical, and the speed with which new exploits are taken advantage of. Additionally, in our globalized world threats can evolve from innumerable sources and manifest as a diverse range of hazards.

Because of this, security teams need to efficiently utilize automation technology and machine learning to identify threats as or even before they emerge if they want to mitigate risks or prevent attacks.

Artificial Intelligence in the Cyber Security Arms Race

Today, AI and machine learning play active roles on both sides of the cybersecurity struggle, enabling both attackers and defenders to operate at new magnitudes of speed and scale.

When thinking about the role of machine learning for corporate security and determining the need, you first need to understand how it is already being used for adversarial applications. For example, machine learning algorithms are being used to implement massive spear-phishing campaigns. Attackers harvest data through hacks and open-source intelligence (OSINT) and then can deploy ‘intelligent’ social engineering strategies with relatively high success rate. Often this can be largely automated which ultimately allows previously unseen volumes of attack to be deployed with very little effort.

Another key example, a strategy that has been growing in popularity as the technology evolves, making it both more effective and harder to prevent, is Deepfake attacks. This uses AI to mimic voice and appearance in audio and video files. This is a relatively new branch of attack in the spread of disinformation and can be harnessed to devastating effect. For example, there are serious fears of the influence they may bring to significant future political events such as the 2020 US Presidential Election.

These are just two of the more obvious strategies currently being implemented in a widespread fashion by threat actors. AI supported cyberattacks though have the potential to go much further. IBM’s DeepLocker, for example, describes an entirely new class of malware in which AI models can be used to disguise malware, carrying it as a ‘payload’ to be launched when specific criteria are met - for example, facial recognition of its target.

Managing Data Volumes

One of the primary and critical uses of AI for security professionals is managing data volumes. In fact, in Capgemini’s 2019 cybersecurity report 61% of organizations acknowledged that they would not be able to identify critical threats without AI because of the quantities of data it is necessary to analyze.

“Machine learning can be used as a ‘first pass’, to bring the probable relevant posts up to the top and push the irrelevant ones to the bottom. The relevant posts for any organization are typically less than 0.1% of the total mass of incoming messages, so efficient culling is necessary for the timely retrieval of the relevant ones.” - Thomas Bevan, Head Data Scientist at Signal.

Without the assistance of advanced automation softwares and AI, it becomes impossible to make timely decisions - impossible to detect anomalous activity. The result of which is that those organizations who don’t employ AI and automation softwares for intelligence gathering often miss critical threats or only discover them when it’s too late.

Signal OSINT and Machine Learning

Signal OSINT platform uses machine learning and automation techniques to improve data collection and aggregation. The platform allows you to create targeted searches using Boolean logic, but it is our machine learning capabilities which allow us to go beyond Boolean keyword searches. 

“By recognising patterns in speech and relations between commonly used words, one can find examples of relevant posts even without keywords. While phrases like ‘I’m gonna kill the boss’ can be picked up by keywords easily, keyword searches alone struggle with more idiomatic speech like, ‘I’m gonna put the boss six feet under’, and will incorrectly flag posts like ‘Check out the new glory kill animation on the final boss’. Machine learning, given the right training data, can be taught to handle these sorts of examples,” says Thomas Bevan.

Signal continuously scans the surface, deep, and dark web and has customizable SMS and Email alert capability so that security teams can get real-time alerts from a wide array of data sources such as Reddit, 4Chan, 8Kun etc. Additionally, Signal allows teams to monitor and gather data from dark web sources that they would otherwise be unable to access either for security reasons or because of captive portals.

Finally, the software allows users to analyze data across languages and translate posts for further human analysis. There are additional capabilities, such as our emotional analysis tool Spotlight, which can help indicate the threat level based on language indicators.

Complementing AI with Human Intelligence

In order to stay ahead of this rapidly evolving threat landscape, security professionals should be using a layered approach that pairs the strategic advantages of machine learning to parse through the vast quantities of new data with human intelligence to make up for current flaws in AI technology.

Machines have been at the forefront of security for decades now. Their role though is evolving as they get passed the heavy lifting, allowing analysts and security professionals to analyse hyper-relevant data efficiently. 

Why organizations need threat intelligence tools as part of their security defences

What is Threat Intelligence?

Those very same technologies that have allowed globalization, which have brought us all closer together and enabled organizations and brands to achieve the current growth and success they enjoy today, have simultaneously brought with them increased risks. These risks come in the form of increased vulnerabilities and exploitable attack vectors for cyber attackers. Threat intelligence is all about gathering data and knowledge to combat and mitigate these threats. 

Threat intelligence provides organizations with information and context required to effectively predict and even prevent cyberattacks. Additionally, it helps inform security teams of the best practice for both preventative measures and response measures to ensure if there is a cyberattack the resulting costs are minimal. 

In short, threat intelligence is the gathering of evidence-based knowledge to inform action-oriented preventative and reactionary responses to an ever-evolving cyber threat landscape.

The Importance of Threat Intelligence

Threat actors are increasingly persistent, and their persistence pays off. Even the most dedicated professionals can’t help but struggle to keep abreast of every new cybersecurity development. New exploits are constantly being discovered or developed and strategies such as social engineering are increasing in complexity. Security teams need up to date data and intelligence on evolving threats if they are going to be able to develop effective responses.

Additionally, within the corporate world one of the key buzzwords of the last two decades has been “accessibility”. Accessibility to data means organizations have necessarily become reliant on digital processes and almost everything is stored on the cloud. Unfortunately, while accessibility is essential to developing efficient processes, and effectively using big data, it also increases the number of threat vectors that attackers can exploit. According to the IBM 2020 data breach report the longer a data breach goes undetected the more expensive it ends up being for the organization. Primarily then, threat intelligence gathered using tools like Signal OSINT can help organizations detect data breaches earlier, mitigating the eventual costs both reputational and monetary.

The final reason that threat intelligence plays such a pivotal role in today’s security is the distinct lack of skilled cybersecurity professionals. Threat intelligence is a time-consuming business that requires a skilled deft hand to manage. The best threat intelligence solutions use machine learning to automate data collection, then filter and structure data from disparate sources to present only hyper-relevant information to a skilled security team for final analysis. The security team can then use this data to create effective actionable plans based on evidential knowledge. This approach optimizes the performance of both the cybersecurity professional and the intelligence tools being used.

Threat intelligence is actionable — it’s timely, provides context, and is able to be understood by the people in charge of making decisions.

Use Case Examples for Threat Intelligence 

Threat intelligence can be used in a diverse range of strategies which makes it an essential tool for security teams in any organization. It’s most immediate value is in helping prevent an attack by gathering intel on threats in real-time, however, it’s also useful for a broad scope of activities such as managing vulnerabilities, informing decision making, and responding to attacks as or after they happen.

Related: The Role of Threat Intelligence and Cybersecurity in Retail

Prevent an attack

From the time that a vulnerability is found to the time an exploit targeting that vulnerability is available for threat actors is shortening. Security professionals need to know about the vulnerability fast so that they can implement a patch and prevent it from being exploited.

Respond to a Data Breach

Data breaches are costly and often go unnoticed. With the right threat intelligence tools you can determine when a data breach happens fast and take suitable actions to mitigate the costs of any following repercussions.

Manage a Vulnerability

The approach of “patch everything, all the time” is impractical and will likely see organizations fall behind - leaving more serious vulnerabilities open for longer. Threat intelligence can help security teams effectively manage vulnerabilities by giving the salient data to allow them to prioritize patches based on actual risk. 

Risk Analysis

This leads on nicely from the last point. Threat intelligence can help security teams determine the actual risks associated with potential vulnerabilities or attacks by providing additional contextual information. For example, threat intelligence can help security professionals  answer the following questions:

• Which threat actors are using this attack, and do they target our industry?

• How often has this specific attack been observed recently by enterprises like ours?

• Which vulnerabilities does this attack exploit, and are those vulnerabilities present in our enterprise?

• What kind of damage, technical and financial, has this attack caused in enterprises like ours?

Fraud Prevention

Fraud can encompass anything from a fraudulent use of your brand, data, or even impersonation of your employees. For example, an individual might impersonate a doctor and sell fake versions of your prescription medication online.

Incident Response

Having the ability to gather and filter through threat intelligence from across the surface, deep, and dark web in real-time allows security teams to effectively and appropriately respond to incidents as they are happening.

How can Signal threat intelligence improve your organization’s security?

Signal allows our customers to analyze emerging global trends, detect threats in real-time, and then form appropriate security strategies to counter these potential threats as or even before they fully reveal themselves.

One of the key issues that security teams and analysts face is the sheer amount of noise that might surround their brand. Invariably much of this noise is irrelevant to their purposes, however, some of it will be bad. This is why Signal assists with advanced filters with boolean logic as well as features such as our emotional analysis tool.

How Can Organizations Combat Increasing Cybersecurity Gaps due to Remote Working During COVID-19?

Whether they like it or not, many organizations have been forced to adopt work from home practices to continue operating. Working from home isn’t new. In fact, between 2005 and 2017 the numbers of people that were able to work from home grew 156%. However, it has generally been seen as a bonus rather than a given and more traditional workplaces have been resistant. 

Despite the fact that 49% of office workers have never experienced working from home before, this experiment has largely been a success. Empowered with communication tools like Slack, Microsoft Teams, Google Hangouts. and Zoom, teams have had deep connectivity even from their own living rooms and many organizations have actually seen increased productivity.

Even so, the challenges of working from home are enormous and are invariably compounded by technological difficulties and poor home security practices.

Security teams, in particular, are feeling the pressure. With numerous workers now operating outside the corporate network security controls, new attack vectors have been opened up which are being exploited by cybercriminals.

Cybercriminals Taking Advantage of the Pandemic

Several security providers have put together data sets which show clear spikes in malicious activity since the beginning of the pandemic. McAfee created its own coronavirus dashboard which shows malicious detections quickly growing from the hundreds into the thousands over the last six months. The most common threat type has been Trojans with Spain and the US being clear outliers in the number of threats detected.

As of August, there were nearly 2 million malicious detections against over 5,500 unique organizations. McAfee go into detail about the families and types of attacks that they’ve seen a spike of cases in since the pandemic began.

WFH challenges for security teams

We’ve established that cybercriminals are taking advantage of the security breaches created by a sudden adoption of working from home but what is it exactly that makes working from home lees secure and what exactly are the security flaws threat actors are targeting?

Working from home doesn’t necessarily mean working from home, it could also mean working from anywhere and many workers have already figured that out. This means workers can (in theory) escape their houses and head out to cafes, restaurants, libraries or other public spaces with free WiFi networks. Zoom, with its virtual background feature, has incidentally supported this. The key issue with this is when workers operate on unsecured open networks. 

Ultimately security professionals have to try and ensure device security and data protection in the work from anywhere model - a challenge made significantly harder with over 50% of employees using their own devices during this period. IT teams have tried to make the security transition easier, with some 70% increasing VPN use among employees, however, 1 in 4 workers according to the Morphisec report were unfamiliar with their company’s security protocols.

This challenge for security professionals has resulted in the majority of security professionals seeing a sizeable increase in workload since their companies began corporatewide remote work. And while most of the transition to WFH went smoothly, respondents reported an increase of security incidents, with the top issues including a rise in malicious emails, non-compliant behavior by employees and an increase in software vulnerabilities.

What can be done to improve WFH security?

Security teams have had years to develop best practices for combating the ever-evolving cyber threat landscape. The sudden move to work from home though has shifted power away from them and brought a greater reliance onto workers who simply do not have the expertise to maintain proper cybersecurity protocols. 

Worryingly, 20% of workers said their IT team had not provided any tips as they shifted to working from home. This has opened exploitable attack vectors and introduced new challenges for security professionals. This though isn’t to say that there is nothing that can be done.

Step 1: Control the WFH Environment

This is all about educating employees about best practice and the reasons for these practices when working from home. For example, informing them not to use open networks.

Step 2: Control the WFH Computer

It’s a good idea to supply the computer being used so that you can install the proper security softwares and control access to sites which might offer security risks as well as maintaining control over permissions.

Step 3: Improve your Phishing Responses 

The crossover between home life and work life extends beyond the location. People are more likely to spend time on social media networks and working on private projects than they would be if they were in the office. This opens them up to more phishing campaigns so it’s important they know how to avoid falling for them.

Step 4: Restrict Remote Access to Sensitive Documents and Data

Lockdown permissions and access to sensitive documents and data. If they really need access they can communicate this need with you directly and you can ensure it is done securely and safely. 

Step 5: Monitor Surface, Deep and Dark Web for Emerging Cyber-Threats

Use an OSINT tool like Signal to monitor for cyber threats, planned attacks and data breaches.

Step 6: Encourager VPN Usage

VPNs are a simple and easy way to improve security. It’s worth ensuring the company has a quality VPN service that doesn’t slow a users internet connection unnecessarily as this might persuade workers to turn it off.

Step 7: Don’t Allow Split-Tunnels

Split-tunnelling allows a user to access networks through both the encrypted VPN service and a potentially unsecure network simultaneously.

The Role of Threat Intelligence for Improving Work From Home Cybersecurity

One of the key benefits of using an OSINT solution like Signal is the ability to create customized searches with Boolean logic to uncover hyper-relevant threats in real-time with SMS and email alerts. 

Ways that this has been used in the past to improve cybersecurity include:

• Early detection of data breaches. The average cost of a data breach in 2020 is $3.86 million. The earlier you catch a data breach the faster you can take action to mitigate the associated financial and reputational damage.

• Discovery of new cyberattack strategies, exploit kits, phishing tactics which were talked about or for sale on the dark web.

• Organizations have uncovered attacks that are yet to be carried out. This is true for both physical attacks against an asset or person as well as cyberattacks. For example, details of a phishing strategy and the targets within the organization were discovered after being talked about in a darknet forum. 

• Monitor employee online activity. For example, this can allow security teams to identify employees who have been targeted and even blackmailed by cyber attackers for access to company data.

What is Ransomware and Why Should you Care?

Ransomware is big money and is a rapidly growing cyberattack strategy. The market has expanded massively since the advent of secure and untraceable payment methods such as Bitcoin. Emsisoft estimates that ransomware costs for US organizations in 2019 was in excess of $7.5 billion. Compare this to four years prior when in 2015 ransomware damages totalled around $300 million.

Some markets are particularly prone to ransomware attacks such as medical organizations and public services. And there have been several high profile cases involving these industries over the last few years. Attackers know that with lives literally on the line organizations in these fields are likely to simply pay the ransom to make the problem go away. Most recently Garmin technology company has been held to ransom with attackers using the WastedLocker ransomware seeking a ransom of USD$10 million.

In this article, we explore in detail what ransomware is, how cybercriminals utilize and what strategies organizations can employ to ensure they are protected from ransomware attacks.  

What is Ransomware?

Ransomware is a form of malware. It can take various forms but generally it functions in one of two ways:

• Crypto ransomware. This malware encrypts the files on a computer so that the user cannot access them.

• Locker ransomware. This malware locks the victim out of their device or out of particular files, preventing them from using it. 

One thing all ransomware attacks have in common is that the target won’t be able to regain access to their files unless they pay the attackers a hefty ransom to unlock the files.

Ransomware has grown in popularity over the last few years in the wake of cryptocurrencies which makes it safe to receive their ransom payments. The cost of a ransomware attack can range from a few hundred to thousands of dollars depending on who the target is and how valuable the attackers believe the files they have locked out of reach are. 

Probably the most common delivery system for ransomware is phishing scams. For examples, a virus masquerading as an email attachment can, once downloaded and opened, easily take over a victims computer. Another strategy is through social engineering which is growing in popularity with cybercriminals because of the better strike rate. A recent example of a successful social engineering attack was perpetrated against Twitter employees. Attackers were able to get aways with an estimated 12.85BTC, nearly US$120,000.

The encryption strategy for malware is the more common of the attacks. The result of this attack is that the victim will not be able to decrypt their files without a mathematical key known only to the attacker. The user will be presented with a message when they attempt to open their files saying that their documents are now inaccessible and will only be decrypted if the victim sends an untraceable cryptocurrency payment to the attacker’s wallet.

To encourage prompt payment attackers might masquerade as law enforcement and demand the payment as a fine. If the victim does have illegal or illicit files or programs on their device, such as pornography or pirated software or movies, then they may be more likely to pay without asking questions and without reporting the attack.

12 Ransomware Examples from the Last Decade

Ransomware has been around for decades. However, it was only after the advent of cryptocurrencies that it began being a favoured strategy for cybercriminals. Cryptocurrencies allow for them to collect untraceable completely anonymous payments. Some of the worst offenders have been:

• CryptoLocker is an older malware threat, and while it isn’t in broad circulation anymore during it’s peak it infected some half a million machines. Cryptolocker is a Trojan horse that infects a device computer and then searches the computer as well as additional connected media including; external hardrives, cloud storage, and USB sticks, for files to encrypt. 

• TeslaCrypt is a variation or copycat of CryptoLocker. TeslaCrypt started by using social engineering to infiltrate devices and later used phishing emails as well. It heavily targeted gaming files and saw numerous upgrade improvements during its reign of terror.

• SimpleLocker was another CyrptoLocker styled malware. However, it’s key difference was that it focused it’s targeting on Android devices.

• WannaCry is a ransomware worm. What this means is that it spreads autonomously from computer to computer using EternalBlue, an exploit developed by the NSA and then stolen by hackers.

• NotPetya also used the EternalBlue exploit. It is thought to be part of a Russion-directed cyberattack against the Ukraine. However, it expanded autonomously to infect a broad range of organizations.

• Leakerlocker was first discovered in 2017 and targeted Android devices. Rather than encrypt files, it threatens to share your private data and browsing history unless you pay the ransom.

• WYSIWYE, stands for “What You See Is What You Encrypt”. Discovered in 2017, this ransomware scans the web for open Remote Desktop Protocol (RDP) servers. It then allows for a customized attack with an interface through which it can be configured according to the attacker’s preferences.

• SamSam has been around since 2015 and has affected devices in a number of waves of attacks. It utilizes vulnerabilities in remote desktop protocols (RDP), Java-based web servers, file transfer protocol (FTP) servers or brute force against weak passwords It would then spread to numerous devices. It primarily targeted public services and healthcare effectively bringing entire organizations to halt.

• Ryuk first appeared in 2018. It is specifically used to target enterprise environments. It is often used in combination with other malware like TrickBot for distribution.

• Maze was first discover in 2019. The MAZE ransomware has been used in attacks that combine targeted ransomware use, public exposure of victim data, and an affiliate model. The ransomware was initially distributed via spam emails and exploit kits before later shifting to being deployed post-compromise.

• GandCrab currently holds a large portion of the ransomware market and may well be the most lucrative ransomware ever. Its developers, which sold the program to cybercriminals, claim more than $2 billion in victim payouts as of July 2019.

• Thanos is a Ransomware-as-a-Service (RaaS) operation which allows affiliates to customize their own ransomware through a builder offered by the developer. It was first discovered by security professionals being talked about on a Russian darknet forum. It is the first to use the RIPlace technique, which can bypass many anti-ransomware methods.  

Dealing with Ransomware

Prevention is always the best policy when it comes to dealing with cyber attacks. Using tools such as Signal you can stay up to date with the most common strategies and one step ahead of cybercriminals. However, if you become the victim of a ransomware attack, it is advisable not to pay the ransom. If you do so there is now guarantee that the cybercriminal will return your data, they are thieves after all. Additionally, it fuels the profitability of the ransomware business making future attacks more likely. So what can you do?

Decryption

For many ransomwares, especially the older ones there are decryption tools which have been developed. The first step then is to contact your internet security vendor and determine if decryption is possible. If this initial strategy fails you can visit nomoreransom.org. The No More Ransom site is an industry-wide initiative designed to help all victims of ransomware.

Recovery

It’s good practice to back-up your data regularly on both external hard drives as well as on cloud storage. If you have done this it becomes possible to simply recover the data which is currently being held hostage. There are of course some scenarios where this won’t be possible, for example, if the malicious actor is threatening to share private information rather than having simply encrypted your device.

Preventing Ransomware Attacks

Good security practices will help prevent you from falling victim to ransomware. These defensive steps will additionally help protect you against other generic cyber attacks. 

Four basic steps that every organization should take to mitigate the threat of cyber attacks are:

• Keep all operating systems up to date and patched. Doing this will ensure that there are few potential vulnerabilities that malicious actors can exploit.

• Do not allow a software admin privileges unless you are confident in its safety and know exactly what it is and what it does.

• Ensure you have an active and up to date anti-virus software installed on all devices. This will allow you to detect and block malicious programs like ransomware as they arrive.

• And, as we said in the section above, back up all your files regularly. This last point won’t help protect against ransomware or other malware but can help mitigate the damages that your organization might suffer.

The Role of OSINT in Defending Against Ransomware

While open source intelligence tools can’t prevent ransomware, they can help organizations mitigate the potential damages. 

Securing the supply chain

Supply chains can stretch across continents with potentially hundreds of suppliers and manufacturers all around the world bearing responsibility. Should any single part or resource be in short supply, then assembly lines can be brought to a halt resulting in costly delays at the very least. 

There are numerous threats to the supply chain, one of which is malware and in particular regard to this article, ransomware. A key example of this is when the shipping giant Maersk had their IT systems taken out by a malware NotPetya. This resulted in their IT systems being down for days and many deliveries being delayed despite Herculean logistical efforts by the company. 

Using OSINT tools you can learn whether an organization on your supply chain has been affected by ransomware in real-time which will allow you to take the necessary actions to mitigate the damage this has as their production or logistics is slowed.

Industry Targeting

It’s not unusual for malware to exploit weaknesses which are specific to an industry. For example, the Healthcare industry is particularly susceptible to ransomware as a delay in returning their operations to normal could result in patients deaths. Indeed a leading medical-research institution working on a cure for Covid-19 were forced to pay hackers a $1.14m USD ransom because of a ransomware attack.

Using OSINT tools you can monitor your own specific industry to determine what strategies and exploits are currently being used by cybercriminals against like companies. Determining this will allow you to take extra and specific precautions to fend off similar attacks which could potentially be turned on you.

Detect New Ransomware and Strategies

Cybercriminals are continuously evolving and updating their strategies and the ransomware that go with them. We are unlikely to see the end of this development. 

By using OSINT to monitor darknet forums and market places security professionals are able to learn about the newest strategies being employed, the most recent weaknesses being exploited, and the most current software being utilized. Armed with this knowledge they are much more able to develop effective countermeasures as well as actively prevent ransomware infection.

Combining Human Analysts, AI, and Automation for Fast Threat Intelligence

It is estimated that cybercrime will cost organization a combined amount of upwards of $6 trillion a year. Cybercriminals are getting smarter and to defend networks, predict threats, and protect staff, organizations need increased access to timely intelligence. 

Effective information security requires smarter detection techniques which is why many organizations are incorporating AI-driven solutions and products to enable their security teams. However, even with AI assistance the sheer amount of data to assess is encumbering. Signal offers a multi-faceted approach that incorporates filters using boolean logic, AI analysis, and a human hand.

Getting Actionable Insights in Real-Time

In threat intelligence having timely data means everything! Having hyper-relevant intelligence as or even before events are unfolding could mean the difference of several zero’s. By contrast, acting upon old threat insights that maybe have dated can be counter-productive, or even undermine the purpose of the intelligence.

Automation and AI tools can make all the difference when it comes to constantly collecting fresh data. A threat intelligence platform such as Signal which harnesses automation and AI tools massively expands the potential data sources and amount of data that an organisation is able to effectively and efficiently monitor. As well as enabling security teams to sift through all that data and detect anomalous and potentially dangerous activity.

Reacting fast is vital to mitigating threats, but what is even more effective is preempting potential attacks enabling security teams to take preventative measures. For example, using a dark web scan a security team might discover an exploit package for sale targeting a previously unknown vulnerability. Discovering this exploit pack allows the security team to patch the vulnerability before hackers have a chance to take advantage of it.

Automation isn’t Everything

Machines can save you time and in that way they save you money. The combination of AI and Automation when scanning the surface, deep and dark web allows your security team to have more eyes on more data sources. This is vitally important especially today when cyber skills are scarce and data growth so overwhelming. This combination helps prevent analysts from being utterly swamped by endless admin work and allows them to deliver true value to their role.

That being said. Machines can only do so much by themselves (at least for the foreseeable future. People remain fundamentally better at understanding insights from potentially vague context and who are able to deliver an effective response.

Acting fast as we have already mentioned is incredibly important. But just throwing machine learning at the threat intelligence problem isn’t nearly enough. The perfect blend combines rapid and large-scale initial gathering and analysis by machines that then hand-off to their human team-mates to apply strategic intellect while the data is still fresh.

Security professionals have to think how cybercriminals think: machines (e.g. botnets) to do the heavy lifting and a sprinkling of human intervention to execute as successfully as possible.

Injecting Human Intelligence into Automated Threat intelligence

The key to superior threat intelligence accuracy and timing is to leverage automation whilst simultaneously injecting human expertise. You don’t want to be wasting your human resources by making skilled data security analysts wade through piles of admin. Nor do you want those analysts to miss potential anomalous data because your automated system disregarded a seemingly meaningless information package which later turned out to be a viable threat. 

Signal allows you to create filtered searches using Boolean logic scanning your chosen data sources and understanding potential location information. These searches can additionally be run through our emotional analysis tool Spotlight. 

There is one more problem though. Getting the balance of human and automation right is essential if you want to derive an effective threat intelligence system at a competitive cost.

To solve this problem we have launched our Sapphire program. Sapphire is an optional bolt-on which enables Signal customers to leverage our skilled in-house data analysts to further refine their results allowing their in-house security personnel to spend time on delivering real value.

Final Words

As can be seen from the description above, Signal is not an “AI application” in the commonly understood way. Instead, it’s a system where we use AI techniques and automation in multiple places to create a tool which in the right hands creates an extremely capable intelligence solution.

Even though machines and software will continue to evolve with dazzling speed, the complexity of threat analysis means there will be plenty of challenging opportunities for human analysts for a very, very long time.

How does Darknet Intelligence help us Fight Cybercrime?

Sites on the dark web are marketplaces for emerging cyber threats. As such, these are rich sources of intelligence, often relevant to a broad spectrum of potential targets.

Signal’s AI and emotion analysis paired with customisable alerts allows you to identify potential relevant threats from sites on the dark web to other threat sources, enabling you to more quickly identify, profile, and mitigate risks to your organization.

Cybersecurity Threats from the Dark Web

With enough knowledge, you can create actionable insights. To understand and counter cyber threats we need developed intelligence and actionable insights and details of those threats.

Three of the main forms of threat identified on the dark web are: 

• Physical threats. 

• Data for sale online. 

• Fraudulent activity.

What we know is that the darknet contains difficult-to-locate hacker websites and tools which are the basis of cybersecurity threats. To understand how to counter these cyber-threats, we need to develop intelligence about the details of those threats.

Before we start looking at how that intelligence is gathered, let’s look first at what sort of things we are looking for. 

Content to Look out for on the Darknet

The darknet isn’t itself criminal or illegal. Rather it provides a platform of anonymity which makes it a very attractive prospect for criminals. There have been cases where contract killers have been hired, or terrorist cells have organised attacks.

On top of this, the darknet hosts various items related to cybercriminals as well as the more traditional criminal activities. It is worth noting though that the majority of traffic that goes through Tor browsers is not criminal activity.

1. Malware

You don’t need to be a proficient software coder any longer to become a hacker. Malware, and things like phishing and exploit kits, are freely available to purchase on the dark web if you know where to look.

2. Data for Sale

It’s common to discover stolen data for sale on the dark web. This often includes non sensitive data such as account logins and email addresses which will be used in credential stuffing attacks. However, more concerning is the amount of credit card and PII (Personal Identifiable Information) that can be found for sale.

Read: Mitigating the threat of credential stuffing.

3. Cyber Security Vulnerabilities

Another item hackers and cybercriminals sell on the dark web are “exploits”. These are when exploitable vulnerabilities in a companies security is discovered. Then the cybercriminal sells the exploit to a hacker who can use the information to create tailored malware.

On a positive note, it has been found that the number of exploits for sale on the dark web have declined in recent years. One potential reason for this decline is due to an increasing number of companies offering a bug bounty program. These programs offer a legitimate financial reward to those that discover potential security flaws.

4. Distributed Denial of Service (DDoS) BOts and Tools

Kaspersky has found that cybercriminals are reaping rewards of up to 95% profit by selling DDoS-as-a-service. Cybercriminals offer a sophisticated pricing plan for customers wanting to attack websites. Cheap and dangerous darknet botnets, for sale from $20, can cause havoc.

5. Discussion Forums for Cyber Criminals

Hackers come together on darknet forums to plan, share details, and exchange goods and information. And while the use of a Tor browser grants them anonymity, discovering their conversation allows security teams to potentially spot threats as or even before they are emerging.

What is Darknet Intelligence?

The darknet hosts a huge amount of valuable insights and data that could make all the difference to your security teams success. Understanding the kind of information you are looking for and how the dark web is used by cyber criminals allows you to effectively monitor criminal forums on the dark web and evolve effective plans to counter impending threats.

However, there is one fundamental problem. How do you do efficiently scan or monitor the dark web? 

Due to the nature and structure of the dark web, finding relevant sources, gaining access to criminal forums, and obtaining information is a huge undertaking that requires specialised knowledge. 

Manually Gathering Darknet Intelligence

Skilled security analysts can spend time building up knowledge around darknet based threats, locating relevant forums and gathering access via pseudonyms. Understandably this approach is wrought with difficulties such as:

• Expense.

  A skilled security analyst is expensive, the average salary being over $99,000 a year. And there aren’t that many out there. By 2022 there will be an estimated shortfall of around 1.8 million skilled cybersecurity professionals. 

• Efficiency.

  The darknet is disparate and deep. The names dark web or darknet are themselves misnomers. They suggest that the dark web exists somewhat like the World Wide Web in a state of connectivity. However, many of the websites on the dark web, especially the criminal ones do not want to be found. They aren’t indexed and other sites don’t link to them. Many of them require you to form an account and to be vetted by admin before you can gain access. 

  One individual is going to have an incredibly hard time finding, gaining access to and manually monitoring relevant dark web sites. One solution could be employing a team of security analysts - however, that brings us back to the first point; expense.

• The changing nature of the darknet.

  Sites on the darknet come and go quickly. Again this is especially true for the criminal websites that you would want to be monitoring. This means that anybody wanting to monitor these sites would need to regularly research and find the same sites as well as continuously looking for new ones.

Thankfully, there is an alternative and you don’t need to waste hours of a skilled analysts time trawling through an almost endless see of data in the dark. This alternative requires you to utlize automation tools such as Signal or our recently launched product LERTR. 

Automating Darknet Intelligence with Signal or LERTR

Darknet intelligence-gathering tools work by running automated searches of darknet websites and forums. Using Signal you can create customised alerts filtered via specific keywords, phrases or even locations. We also have a built-in translation tool so that data can be searched across languages and automatically translated into your default language.

On top of this, you can run alerts through our emotional analysis tool to determine how much of a threat any particular alert is. Finally, get our optional Sapphire bolt-on and utilise our skilled data analysts to further refine your results. 

This approach allows your leave your dark web monitoring on autopilot and not only effectively reduce costs but vastly increase the scope of your monitoring ability and the overall amount of hyper-relevant intelligence at your fingertips.

All of this allows you to gather actionable intel in realtime.

The Role of Threat Intelligence and Cybersecurity in Retail

Retail is the fourth most targeted industry by cyber-criminals. It is the same technologies that have created new potential growth opportunities for these businesses which has simultaneously opened up new and evolving attack vectors for both cyber-criminals and physical attacks.

Use of the cloud, IoT (Internet of Things) and global expansion increases potential risks exponentially, as these threats are no longer constrained by location or borders. Organisations need to secure customer data, protect executives, manage travel, predict physical threats to assets, and prevent cyber-attacks. All of these threats could come from a range of possible sources involving a plethora of evolving methods, from anywhere in the world. 

Digital and In-Store Locations Are Both Valuable Targets

Retailers deal with large numbers of people. As such, their databases necessarily contain vast amounts of data which could be valuable to hackers. This includes but isn’t limited to personally identifiable information (PII) for customers, employees and even executives. Vulnerable PII which contains financial information is highly valuable and the most obvious of targets for hackers, however, even non-sensitive data can be a hugely profitable attack vector for cyber-criminals when used correctly. This is shown by the frequent sales of login credentials on the dark web.

Additional avenues of attack include mobile retailer apps, customer-facing devices in retail locations, and IoT product offerings. These new technologies are continuously assessed by cybercriminals for potentially exploitable weaknesses and can often be found mentioned in online discussion forums. Because of this, public-facing social media data, as well as data collected off the dark web, is more valuable than ever in detecting threats.

Social media, as well as anonymous forums on deep and dark websites, are used to discuss or advertise criminal strategies like shoplifting, POS fraud, and counterfeiting. Public-facing social media data is more relevant than ever for detecting sentiment, executive threats, and critical events like active shooters in or around retail locations.

The Heavy Cost of Threats for Retailers

The cost associated with the risks outlined in this article are huge. Retail inventory loss incurred by shoplifting or fraud costs the industry an estimated $50 billion a year. The average cost of a data breach, according to a 2018 Ponemon Institute report, is USD $3.86 million. And these are just the measurable costs. The long lasting effects that comes with the reputational damage and global brand erosion that coincides with a data breach that exposes customer or executive data is also a highly valid concern.

This information points to the importance and necessity for an effective data discovery and analysis programme to be employed by companies to effectively secure organisations in the retail industry. Security teams are burdened with a seemingly impossible task of processing an ever-increasing and varied amount of threat data to separate the noise from the real threats to contextualise that data into actionable insights. This industry needs tools that automate and accelerate data analysis to enable effective threat monitoring and prediction.

- 50% of retailers have experienced a data breach.

- 84% plan to increase IT security spending.

- 85% of retail IT security professionals said their organisation used cloud storage for sensitive data.

Source

The Importance of Cybersecurity in Retail

The rise of e-commerce and the adoption of digital technologies means that retailers now hold vastly more data on their customers than ever before. Most major outlets currently have online stores and it’s expected that online sales will outstrip high street sales within the decade. Gaining access to customer accounts can give access to PII and even bank details. Hackers who manage to obtain this customer data will either use this data themselves or more likely sell it on the dark web.

One of the popular methods that this data is used for is an approach called credential stuffing. This attack works because many customers use the same login credentials across many different sites. Hackers will take these credentials and make multiple automated login attempts across an array of websites. One team of security analysts found that 90% of retail login attempts were from hackers attempting to access other people’s accounts in this way. 

Another common attack vector is payment processes. Retailers are embracing technology to make it as easy as possible for customers to purchase through their online stores, however, if security standards aren’t advanced alongside these payment processes then they leave vulnerabilities to fraudulent activity.

A final key cybersecurity vulnerability for retailers is the staff. Often retailers hire young and inexperienced staff, most of whom have had little if any cybersecurity training. This leaves them vulnerable to common ‘social engineering’ attacks such as ‘phishing’. For example, a hacker might contact a staff member directly and trick them into installing malware onto a company device or attempt to get them to provide sensitive information by pretending they are someone that they aren’t. 

Additional Threat Vectors for the Retail Industry

A few examples of additional threat vectors that the retail industry need to pay careful attention to include: 

Gift card cloning

In a 2018 report security firm Flashpoint identified found hundreds of discussions of "cracked" gift cards on criminal web forums.

There are several strategies to hack gift cards. One example is by predicting the gift card numbers, which when combined with a brute force attack, means hackers can identify activated cards and the amounts on them. Another method involves creating clone cards of inactive gift cards and then when they are activated using the credit before the rightful owner has a chance.

Whichever method they choose it’s often the retailer that’s left picking up the tab.

Executive and employee threats

As with any industry, staff may be targeted, not just for phishing attacks or fraud but for physical attacks by disgruntled customers or even terrorists. 

Threats to physical locations

From active shooter attacks to terrorist assaults physical locations, especially those where members of the public can come and go freely, are high-risk locations.

By utilising the right technology companies can identify threats early and mitigate the potential damage by forming an effective response based on real-time data fast.

What modern security means for modern retail

Criminals can leverage the web to commit both physical (such as in-store theft), as well as cyber-attacks (such as phishing or gift card cloning). This leaves retailers operating in a unique threat landscape with a broad array of potential attack vectors.

There are three levels that modern retailers should consider to ensure a complete and effective security, both in-store and online. First, at the highest level, training and information need to be gathered for both their security teams, both also disseminated to employees across the organisation so that everyone is aware of the threats and how to avoid them.

The next level is to only work with secure third-party providers. Companies that take security seriously and when it comes to building defences against cybercrime have strong records. These businesses, such as connected devices, cloud storage or payment portal providers form a crux of any companies security.

Finally, the security team need to be enabled with the right tools for the job at hand. Signal OSINT software enables security teams to scan a vast number of open, surface, and dark web channels and sources to gain real-time data on emerging threats. Our sentiment analysis, custom filters and advanced alerting means security teams can be notified instantly on threats as they are emerging. Whether it’s customer data for sale online, or an active shooter situation in-store, security teams can quickly assess and respond to mitigate risks and damages.