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. 

LERTR: Advancing Data Breach Detection

As threat actors continuously challenge the cyber defences of organizations, companies are increasingly forced to focus on improving cybersecurity practices. However, even the best cybersecurity teams with the largest budgets find it hard to stay ahead of the evolving threat landscape. And with more technology in use, a growing reliance on cloud storage and the Internet of Things (IoT), there is a growing potential for sensitive data to be exposed to threats. 

As such it’s unsurprising that data breaches, in spite of increased cybersecurity spending, are becoming more common and more expensive to deal with. Employees need intelligent security practices and cyber habits and companies need to be armed with the latest technology and tools for early data breach detection to gain the upper hand when combatting this ever-changing threat.

Data Breaches Need to be Caught Early

The average cost of a data breach in 2020 according to the IBM / Ponemon Institute report was $3.86 million. However, there are plenty of examples where the costs have vastly exceeded this average, escalating into the hundreds of millions or even billions. For example, the Equifax data breach in 2017 cost Equifax $1.7 billion in the end. Another high profile example, Facebook eventually settled on a fine of $5 billion after it’s ‘privacy misstep’ involving Cambridge Analytica. This bill doesn’t include the additional costs and expenses that Facebook has accrued in the development and expansion of their cybersecurity and privacy departments nor does it account for the reputational damage it suffered.

While costs of these extremes are rare, data breaches in general are not. The IBM report goes on to analyse particular subsets of the data noting that the worst impacted is healthcare with an average data breach cost exceeding $7 million. And that the average time taken for an organization to identify and contain a data breach, was an astonishing 280 days, over 9 months. This is in spite of significant evidence that the speed of containment has a significant impact on the overall data beach cost, which if left unchecked can linger for years after the incident. 

How to Prevent Data Breaches

As with many of these things prevention is often the best policy. 

Data Breach Prevention #1: Have Clear Security Protocols 

Every employee should know, understand and be able to abide by strict security protocols to keep company data secure and thwart social engineering tactics. Having protocols is one of the best ways to help prevent data theft by ensuring unauthorized personnel do not have access to data. 

Data Breach Prevention #2: Safeguard Against Human Error

Many data breaches are the result of an employee error. This could be anything from downloading a document off of an illegitimate website, social engineering tactics or even outright blackmail. Employees should only have access to the information that is vital to their particular roles within the company. Those with higher level access should accordingly have higher levels of cyber security training and understanding.

Data Breach Prevention #3: Improved Password Protection

Having strong unique passwords is the first line of defence against any cyberattack. However, nobody, whether they are a high level executive not, is going to be able to remember a dozen or more 12 character passwords that use special characters, letters and numbers. Make sure that 2FA is enabled on all logins, and use a password manager (with 2FA enabled) to auto generate and save complex passwords and ensure the highest levels of password security are enabled.

Data Breach Prevention #4: Update Security Software Regularly

Companies should utilize a high quality antivirus software, anti-spyware program and firewall. Additionally, these programs should be regularly updated to keep them free from vulnerabilities. 

Data Breach Prevention #5:OSINT for Dark Web Forums

By monitoring dark web forums and other chat rooms you can learn of planned attacks, potential exploits and even find exploit kits being sold online. This will give you a good indication of the access methods which have been discovered allowing you to implement a patch quickly to prevent it.

The Tools for Early Detection of Data Breaches: LERTR

Having the right tools is vital if an organization wants to prevent or mitigate the threat of data breaches. Using an OSINT platform like Signal allows security teams to efficiently monitor the surface, deep, and dark web for details or indications of potential and past data beaches. For example, you might find exploit kits targeting a vulnerability specific to your company. This would allow you to prepare a patch for this vulnerability before it was exploited. 

Additionally, hackers might discuss strategies or plans around an upcoming data breach attempt on a dark web forum. Forewarned, you have a better chance of catching and preventing the attempt. However, prevention isn’t always possible. For those scenarios where you do face a data breach you want to discover it as quickly as possible to mitigate the potential damage and limit the costs.

To this end we have integrated with Webhose to advance our early data breach detection capabilities. Additionally, we have launched LERTR, a cyber specific OSINT platform. aa

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Final Words

Data breaches are increasingly common and expensive. Effective preventative measures need to be put in place and maintained to limit threats. However, even the best defences can fall to a determined threat actor. As such organizations needs to ensure they have all the tools to not only prevent, but also to detect early and contain data breaches quickly should one occur.

Signal is a powerful OSINT tool which allows users to create searches using boolean logic enhanced with NLP, with which security teams can efficiently monitor online activity to detect threats as or even before they emerge.

The Increasing Risks and Rising Costs of Data Breaches

Data Breaches Aren’t Uncommon 

It’s not just small companies with limited security budgets that have exploitable cyber gaps. Often, in fact, large organizations become targets because of the amount and nature of the data that they hold. Organizations in the healthcare sector, for example, have proven time and again to be a popular targets for cybercriminals.

Another example of a large organization being targeted is Experian. Experian experienced a major data breach in August 2020 where over 24 million records were exposed. The attackers impersonated a client and were able to request and obtain confidential data. Experian claimed that no customer banking information was exposed. Even so, personal information like this could be used in a targeted social engineering strategy to then get Experian customers to reveal further sensitive information such as their banking details.

This isn’t the first major data breach that Experian has had. Back in 2015, 15 million North American customers and applicants had their personal data, including Social Security numbers and ID details, stolen. Perhaps because of this prior experience, Experian understands the risks and are adept at dealing with cyber breaches. They claim that the attacker’s hardware has already been seized and the collected data secured and deleted.

How Much Does the Average Data Breach Cost?

The answer to this question varies between country and is additionally dependent on the sector but in general, can span anywhere from $1.25 million to $8.19 million.

According to the 2020 report from IBM and the Ponemon Institute the average cost of a data breach in 2020 is down 1.5% since 2019 and cost around $3.58 million USD. This works out to be around $150 per record and is a 10% rise over the last 5 years. The report analyzes recent breaches at more than 500 organizations to spot trends and developments in security risks and best practices.

The cost estimate includes a combination of direct and indirect costs related to time and effort in dealing with a breach, lost opportunities such as customer churn as a result of bad publicity, and regulatory fines. Though the average cost of a breach is relatively unchanged, IBM says the costs are getting smaller for prepared companies and much larger for those that don’t take any precautions.

Interestingly, various industries including healthcare appear to be more susceptible targets for attackers. According to the report, healthcare breaches cost organizations $6.45 million per breach, a number that eclipses all other sectors and makes it the ninth year in a row that healthcare organizations have had the highest costs associated with a data breach.

The average cost for per breached healthcare record ($429) is more than double any other industry too and substantially higher than the average, $150, according to the report. Healthcare breaches can often take the longest to identify (up to 236 days) as well.

Data Breaches are Happening all the Time

Data breaches are occurring constantly. Records from large brands with big security budgets and teams as well as much smaller organizations. It’s important that everyone understand the importance of secure digital practices and explores strategies for educating staff to reduce the risk of social engineering tactics.

Source: Webhose.io

How do Data Breaches Occur?

Hackers use various strategies to gain access to data. For example, with Experian the attacker leveraged human weakness through social engineering to persuade an employee to give them the data. Other strategies could be exploiting weaknesses such as a misconfigured or unsecured cloud storage. Alternatively a data breach could be the result of a malicious malware or ransomware. 

According to the IBM/Ponemon report around 40% of all incidents were actually due to either cloud misconfigurations or stolen login details. Because of this IBM has urged companies to reexamine their authentication protocol to ensure 2FA is active.

A final note on the ascertaining of data by attackers is around state-sponsored attacks. State-sponsored attacks only make up around 13% of the overall number of attacks according to the report. However, with an average associated cost of around $4.43 million it’s clear that these types of attacks tend to target high-value data and this results in a more extensive compromise of victims' environments.

The energy sector, commonly targeted by nation-states, saw a 14% increase in breach costs when compared to the prior-year period, with an average breach cost of $6.39 million.

How can Organisations Reduce the Cost of Data Breaches?

“The average time to identify and contain a data breach, or the "breach lifecycle," was 280 days in 2020. Speed of containment can significantly impact breach costs, which can linger for years after the incident.” - Source 

By having mitigation measures in place IBM/Ponemon estimate companies can reduce the cost of a breach by an average of $720,000. 

According to their report those companies which had automated technologies deployed experienced around half the cost of a breach ($2.65 million on average) compared to those that did not have these technologies deployed ($5.16 million average). 

Security response times were also reported to be ‘significantly shorter’ for companies with fully deployed security automation – these companies are as much as 27% faster than their counterparts at responding to breaches.

Security tools like OSINT platforms not only enable a faster breach response but a significantly more cost-efficient one as well, which as the security professional shortage persists is of absolute importance.

Signal OSINT platform gives you hyper-relevant real time alerts from surface, deep, and dark web sources.

Final Thoughts

With our increasing levels of digitisation, our growing reliance on the cloud, and the complexity of security systems paired with human error there are more attack vectors than ever before for hackers to exploit. 

A data breach could involve anything from publicly available data being scraped and sold off to spammers, to online banking and credit card information being stolen. The longer a data breach goes undetected the longer the threat actors have to utilize this data causing more harm as time goes on.

Having the right tools and processes in place will allow you to detect data breaches early or even prevent a data breach from happening in the first place. With the steadily rising cost associated with data breaches, this could save an organization millions in the long run.

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.

6 Ways Signal OSINT is Improving Protection for Executives and VIPs

High profile executives and VIPs are more likely to receive threats of violence, be at the centre of negative online noise, and to be the target for both cyber and physical attacks. This, when paired with their busy schedules (which often involve travel), makes staying ahead of potential threats a particular challenge for their security teams. 

Attackers have a variety of reasons and goals for targeting executives and VIPs. It could be anything ranging from a reaction to company layoffs, to kidnapping for ransom. Whatever the reason though, security teams need to be able to spot the threats, understand the motives, and implement an effective response in a timely fashion.

In this article, we take a look at 6 key ways Signal OSINT is used today by customers to advance protection measures for high profile executives.

How Can Signal OSINT Improve your Executive Security?

Discover private information published online

There are several reasons that an individual might publish private information online. Often, it is in anger or as some form of revenge. The kind of information that has been found published online includes: names, email addresses and logins, physical address, details about an executives families, passport details, medical information, credit card and bank details, and SSN’s.

Having such information leaks opens up an executive to a wide range of potential threats. As a security professional, it is vital to know if and when there is a data breach so that the threat can be neutralized. The longer data is available online the more risk there is. For example, if card details are discovered online the bank can be contacted and the card cancelled.

Read: Detecting and Mitigating the Risks of Data Breaches 

Identify direct threats

Sometimes threat actors are more direct in the way they threaten executives. This could, for example, be a direct threat of violence through an email, instant messaging service or public forum like social media. While the majority of such threats come from so-called “keyboard warriors” there are some which will require further attention and action. 

For example, discussions might be uncovered on the dark web forum with details of a planned attack on an executive. With the prior knowledge of the attack action can be taken to reduce the associated risks.

One way to differentiate between someone that is simply venting their anger on a public forum and someone who genuinely might take action is to look for repetition of negative sentiment.

Emotional analysis

Emotional analysis gives data extra context which allows it to be better understood enabling a more effective and accurate response to the potential risks. 

It also allows you to differentiate between when a negative comment is simply that, a negative comment, or when it needs more serious attention, for example, it’s evolving into a physical threat.

Read: When Does Negative Sentiment Become a Threat? 

Misinformation is spreading about an executive

The spread of disinformation is problematic on a number of levels. For example, throughout COVID-19 misinformation has been spread regarding the virus, it’s root causes and best prevention practices. This has harmed efforts to curtail and control it. Another recent example is the role of misinformation in the 2016 US election. 

There are numerous reasons that individuals and organizations spread misinformation, it could be part of a phishing campaign or an international political assault, for example. Whatever the reason the results are almost always harmful. When an individual spreads misinformation around a CEO or other executive there are real ramifications for brand and reputation which need to be managed.

To combat misinformation organizations need to be equipped with the right tools and understand both what they’re looking for, and the reasons for spreading misinformation.

Disruptive events are planned which could prove a threat to executives.

Events such as protests planned at or near an office or manufacturing location could present logistical problems and delays as well as potentially devolve into riots which would represent a physical threat. Having intelligence on the events and any salient information regarding individuals or groups looking to create trouble will allow you to take appropriate precautionary measures and prevent a threat from escalating.

Travel risks

All travel comes with some inherent risk. However, it is more pronounced for executives who are at increased risk due to the regularity of their travel and high profile.

Additionally, events like extreme weather or terrorist action may make a destination unsafe. As such, having an OSINT solution such as Signal offering an early warning of any particular dangers will enable you to plan alternative routes and otherwise avoid high risk scenarios.

Read: 4 Aspects of Effective Executive Travel Risk Management 

Early warnings with real-time data

Using Signal you can create customized 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.

Additionally, 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 intelligence gathering 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.

Find out more about Executive Protect with Signal…

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.

Why a Dark Web Scan is Essential for your Business

The dark web is a layer of the internet that is only accessible through an encrypted browsing software such as a Tor browser. This software makes the user anonymous. It is this anonymity which is so beneficial to criminals who are able to trade illegal items and services.

Cybercriminals are known to buy and sell stolen data, for example, which can be used to commit identity theft and fraud. Many of the overtly criminal websites require membership logins that you can only gain if you are active as an online criminal making it challenging for companies and security forces to access and monitor these websites.  

However, with the right tools, like Signal threat intelligence software, monitoring and filtering through these websites is entirely possible without ever needing to download a Tor browser yourself. 

What is dark web scanning?

A dark web scan monitors open-source information available on the dark web, using both human and artificial intelligence to scan things like criminal chat rooms, blogs, forums, private networks and other sites. In doing this it helps organizations detect potential security threats. 

Examples of activities that have been identified from dark web content using Signal Threat Intelligence software include;

• Online markets selling stolen and fake goods;

• Hackers selling non-sensitive data for use in credential stuffing attempts;

• Impersonation of individuals or organizations;

• Details in regard to hacking or incitement to hack;

• Reputational risk via fake news or impersonation;

• Illegal activities such as drugs and drug paraphernalia;

• Information regarding a previously undetected sensitive data breach.

What happens during dark web monitoring?

There are some 55,000 dark websites, however, many of these are inactive and even fewer of them are actually used for overtly criminal activity. During dark web scanning our security software monitors and detects any data that is relevant to the particular search queries that have been set up. This allows you to create a customised highly relevant stream of data and information around key points of interest for your company.

The information can also be run through a sentiment filter to create an even further refined stream of data, we explore this in further detail below.

Why is dark web monitoring with Signal Corp important for businesses?

1. Detecting data breaches

Our software has been used to identify stolen credentials and other personal information that is circulating on dark web networks and other channels.

To identify relevant data you are able to set up specific search queries within the software. These constantly monitor the open, dark and deep web and then filter these searches using our AI technology to determine what is and isn’t relevant. We then add a human touch to the remaining data to further filter using human intelligence to identify what is highly relevant.

The scan infiltrates private sites - many of which require membership within the cybercriminal community to enter. 

When it comes to detecting data beaches it can quickly identify chat around data that is circulating online which has been gained by illegal hacking attempts. If data is detected from a particular company, whilst there is no way to retrieve that data organisations can take precautionary measures to mitigate the damage and threat of the data breach as well as determining how the data was gained and ensuring that breach is secured against further data beach attempts.

2. Detecting Physical Threats against People and Assets

The big draw for criminals to the dark web is that all users need to use an encrypted browser to access the dark web which entirely anonymises their presence. This means, very simply, that criminals can and do talk about their activity, either to brag or as part of their preparations.

Using software like Signal you can constantly monitor the dark web and when a criminal talks about or potentially threatens one of your staff or assets you can know instantly. Whilst they are anonymised and you won’t know who is planning something, you will know that there is a very real potential threat that you can now guard against.

3. Predicting potential terrorist actions

In the same vein as detecting potential physical threats against a company online, the dark web is also a place where terrorists go to communicate and organise. By monitoring the dark web then you can pick up on their conversation and use the data gathered to potentially predict and deter terrorist attacks aimed at the company.

How do you determine when chat becomes a serious threat? 

One of the potential issues some of our customers face is the sheer amount of noise which might surround their brand. Invariably not all of this noise is good. Which is why we have a sentiment analysis tool to help filter out what chat, what noise online we need to pay attention to.

On top of this, this can then closely monitor individuals who have been detected to hold negative sentiments towards a customer and it can determine if that was a once-off comment, or if this negative sentiment might actually evolve into a more palpable threat.

Mitigating the Threat of Data Breaches and the Risks of Credential Stuffing

How are data breaches of non-sensitive data used by cybercriminals?

When it comes to cyberattacks having detailed situational awareness and the ability to quickly sift through open-source data and information on the surface, deep, and dark web allows businesses and financial institutions to quickly determine potential risks and take necessary precautionary actions fast. This can help mitigate threats posed by cybercriminals, reducing the security spending and costs surrounding the fallout after criminals successfully commit fraud through the use of leaked data.

In this article, we explore a growing concern for a number of businesses which poses increased year on year risk, with increasingly costly repercussions - credential stuffing. We answer the following questions and more: what is credential stuffing? Why does it pose a severe security risk? And how can dark web monitoring and social media monitoring be used to mitigate the threat of data breaches?

What is credential stuffing?

Many businesses assume that non-sensitive customer data has little value to a cyber-criminal.

In fact, in a recent study, it was found that a number of businesses didn’t even password protect cloud-stored customer data. Meaning anyone could have come along and downloaded the entirety of those databases.

What is even more worrying, is that many data breaches go entirely undetected. 

Credential stuffing is a tactic growing in popularity that weaponises non-sensitive stolen credentials (eg. usernames and passwords) against websites and mobile applications. Large volumes of stolen account logins are tested against other website login pages to gain unauthorised access to accounts, in order to commit fraud. 

The most remarkable aspect of credential stuffing is that a given business does not have to be breached itself to suffer from credential stuffing. The vulnerability is simply having a login form and having users.

Whilst the strike rate is low - think a few successes for every thousand attempts - there are billions of stolen credential pairs in the hands of cybercriminals. 

In 2018 there were 2.8 billion credentials stuffing attempts reported in the US alone. And this number is only rising. Which goes to show just how much of a threat credential stuffing has become.

On top of this, a skilled hacker, using a throttled bot with multiple Autonomous Systems Numbers (ASNs) and IP addresses can remain undetected for long periods of time, allowing them to try potentially millions of login combinations without anyone knowing anything untoward is happening. 

Source: idtheftcenter.org

What are the cybercriminal’s goals?

“It is a misconception that only financial information like payment card numbers or bank accounts has monetary value to data thieves.” - Source

Obviously, the most valuable data for cybercriminals is going to lead them to bank account and credit card details. These they can use directly to access a persons money. In 2019 though, there was a significant decrease in the amount of sensitive data exposed. Going from a reported 471 million records in 2018, down to 164 million in 2019. It’s worth noting though that the Marriot breach in 2018 did skew the records there with over 300 million sensitive records exposed in that single data breach.

However, there are numerous ways a cybercriminal can benefit from accessing another persons account data through credential stuffing of purportedly non-sensitive data. These strategies will be tailored to the sites they gain access to and can lead to various forms of identity fraud and phishing scams.

Part of the reason this indirect strategy is growing in popularity with cybercriminals is that sensitive data is becoming better and better protected by corporations and financial institutes. However, this somewhat simplistic approach creates a serious vulnerability to any company. 

Credential stuffing is costing businesses millions each year. Not just in the follow-up costs of a cyber attack and the ramifications of fraud, but from increases inIT security spending, potential lost revenue from lost customers, and application downtime. This, according to one study by Akamai is costing companies an estimated $4 million a year.

Who is most at threat?

When it comes to what this looks like in real life you only have to take a cursory glance at the numbers to have cause for concern. In 2019 it was reported that a total of 869,857,509 records were stolen by cybercriminals in the US - and it’s likely that many more stolen records went either undetected or unreported.

The majority of that data, around 750 million records, was non-sensitive data, that will largely find its way to the hands of cybercriminals who will use it for credential stuffing. 

The credential stuffing technique can be used against any company with a login page. 

“Up to 83%  of people - according to 2018 research - use the same password for more than one account.”

Consumers face growing complexity in password requirements, with various length requirements, plus symbols and numbers - this has actually encouraged many users to find a single password that fits the bill and they’ve then reused that password or variations of it across numerous account logins. This is then paired with a growing number of individuals who have access varying levels of technology and might not know how to best protect their data.

Source: idtheftcenter.org

What can be done to mitigate the threat of credential stuffing?

People are always talking about having better online security but no one ever talks about what happens after a data breach or after being hacked. 

As the old saying goes, “hope for the best, but plan for the worst.” A growing number of companies are on the receiving end of cyberattacks and it is leading to an increasing number of data breaches. 

Shoring up online and cybersecurity is absolutely vital. However, it may well not be you who is hacked, instead a victim of the credential stuffing technique. One thing to do is to require two-factor authentication. But even this isn’t flawless as the hacker may well have access to that user’s email account as well. 

So, what can businesses do to mitigate the growing threat of credential stuffing? Often hackers responsible for the data breach won’t use all the data themselves. Instead, they’ll turn to the dark web where they can anonymously sell the data instead.

This is where threat intelligence software like Signal comes in. Signal allows for users to monitor the dark web without needing a Tor browser. With threat intelligence software like Signal one can do much more than just monitor the dark web though.

Users can set up alerts for keywords and monitor dozens of channels instantly generating alerts for users based on their search queries. What this means is that as soon as leaked data goes up for sale on the dark web - or as soon as anyone talks about purchasing records gained through illegal or forced access to your database you will know.

You can then take precautionary actions to mitigate the potential threat. For example, warning customers of potentially exposed data so that they can secure any logins with the same password, force resetting customer passwords, and reporting the incident to the authorities.

In one recent example, it was found that an employee of a bank, stole over 3 million sensitive records from their company database. They then went away and bragged about it on social media and on various dark web forums (like 8chan). These set off immediate alerts through the Signal system and action was able to be taken, the data was recovered before it changed hands and the employee faced the legal ramifications of their actions.

Because Signal uses open-source data all evidence and information gathered through its channels are able to be used as actionable intelligence.

Related: Black Hat Brags about Bank Hack Signal Could have Spotted

Detect and remedy data breaches fast with Signal

Get in contact to learn more, or request a demo using the options below: info@signalpublicsafety.com

Resources and Further Research

• akamai.com/uk/en/multimedia/documents/state-of-the-internet/soti-2018-credential-stuffing-attacks-report (pdf)

• idtheftcenter.org/2019-data-breaches/ (pdf)

Black Hat brags about bank hack – Signal could have spotted it

One of America’s biggest banks took four months to realise it had been hacked.

Signal could have helped the bank find and respond sooner to reduce their reputational damage.

In late July the $370bn bank Capital One announced a hack of one million social security numbers and 80,000 credit card-linked bank account numbers which is estimated to  cost over $100m to remedy.

Their announcement came 120 days after the actual hack occurred - the vigilant monitoring that Signal provides could have alerted Capital One to the problem quickly. Instead, it took months before a ‘white hat’ noticed conversation about the breach.   

The number of people affected was staggeringly high – in the words of Capital One itself, “The event affected approximately 100 million individuals in the United States and approximately 6 million in Canada.”

Here’s what happened:

On July 19, 2019, it was determined there had been unauthorised access by an outside individual who obtained personal information relating to Capital One credit card customers.

Capital One says it immediately fixed the configuration vulnerability that the individual had exploited and promptly began working with federal law enforcement.

The FBI arrested Paige Thompson, 33, a software engineer who formerly worked for Amazon Web Services… which Capital One is known to use.

Charges against Ms Thompson state she boasted about the hack on GitHub, Slack, and Twitter, allowing Capitol One the opportunity to quickly alert their cyber teams of a potential breach – if they were utilizing an OSINT tool like Signal.

Capital One claims it is unlikely the information stolen was used for fraud or disseminated by the individual, adding it believes no credit card account numbers or log-in credentials were compromised and that over 99 percent of Social Security numbers were not compromised.

The fact remains: one million social insurance numbers and 80,000 credit card-linked bank account numbers were exposed.

The largest category of information accessed was information on consumers and small businesses created when they applied for credit card products across the last 15 years, including:

• Customer status data, credit scores, credit limits, balances, payment history, contact information

• Fragments of transaction data from a total of 23 days during 2016, 2017 and 2018

• 140,000 Social Security numbers of credit card customers

• 80,000 linked bank account numbers of our secured credit card customers

• The Social Insurance Numbers of one million Canadian credit card customers were also compromised in this incident.

The configuration vulnerability was reported to Capital One by an external security researcher through a Responsible Disclosure Program on July 17, 2019. Capital One then began their own internal investigation, leading to the July 19, 2019, discovery of the incident.  the hacker had four months to do what she wished with people’s personal information.  Unfortunately, it is common for hacks to take months to be discovered, reported, and patched if the proper monitoring solutions are not in place.

Capital One expects the incident to generate incremental costs of approximately $100-$150 million in 2019. Expected costs are driven by customer notifications, credit monitoring, technology costs, and legal support and notifying customers.

Capital One said in its public statement it has always invested heavily in cybersecurity and will continue to do so.  This breach shows how the convergence of cyber and physical security is continuing to evolve as companies continue to invest in infrastructure and tools to stay at the forefront of cyber threats.  As threat surfaces continue to increase, social media and dark web scanning tools have become even more important to identify threats in real time.

Clearly there’s a lot of money at stake, but the worst part of it all is the hacker boasted about it online and the response could have been a lot quicker.

While it doesn’t appear that the breach was for financial gain, the reputational damage for Capital One has been huge (and continues).

Here’s how signal can help prevent this sort of thing happening:

Signal’s point of difference is scanning the web and dark web for chat around data hacks, breaches and stolen information for sale.

We know that the accused thief bragged about what she was alleged to have done to Capital One, and this is precisely the sort of thing Signal is set up to prevent.

Signal offers:

• Monitoring over 15 data sources, including social media, web/forums, surface web, the dark web and online forums.

• Accurate real-time results centred around the geographical locations you need to monitor

• Advanced filtering of searches

• Excellent visuals so you’re not sifting through raw data to find out who’s talking about hacks at  your organisation

• Situation awareness

• Online operation centre capability and data

 Please feel free to read how Signal could have helped resolve

• A British banker selling stolen data on the dark web (and being exploited until he was driven to steal even more)

• Slow responses to crises emerging in the real world outside a business

• Parsing the dark web and seeing discussions about plans to rip off your bank or business

• Mitigating the Threat of Credential Stuffing through Dark Web Monitoring

 www.getsignal.info

info@signalpublicsafety.com