Cybersecurity research and analysis from CodeHunter. Covering execution risk, behavioral intent, and the defense strategies that matter before code ever runs.
In the intricate web of cybersecurity, one of the most insidious dangers comes from within: insider threats. These threats, posed by employees or other insiders with access to an organization’s systems and data, can be challenging to detect and devastating in their impact. Understanding the nature of insider threats and implementing proactive measures to catch them early is crucial for safeguarding an organization’s digital assets.
Multi-step malware is designed to evade detection through a series of sophisticated tactics. Unlike simpler malware that can be detected by signature-based detection systems, multi-step malware employs a layered approach. Initially, it might enter a system through a benign-looking file or a trusted application. Once inside, it executes in stages, each step potentially involving different methods such as code obfuscation, encryption, and the use of legitimate processes to mask malicious activity. This step-by-step execution makes it challenging for traditional antivirus programs to detect its presence early on.
SOC analysts’ expertise is better used in threat hunting than report writing. Unfortunately for them, reports are needed to trace the steps of their threat analysis, support their remediation and response decisions, and to garner buy-in from other departments regarding their effectiveness. In heavily regulated industries like finance and healthcare there may also be compliance rules that mandate specific report-keeping metrics and frequencies. This is where automated reports come into play, offering a host of benefits that can transform the efficiency and effectiveness of cybersecurity operations.
In the evolving landscape of cybersecurity, organizations must navigate a plethora of threats that can compromise data integrity, steal sensitive information, and disrupt operations. One crucial decision that security teams face is whether to deploy a single security platform or to integrate best-of-breed solutions. Each approach has its own set of risks and benefits, and understanding these can help teams make informed decisions. This blog post will explore the pros and cons of each approach, and provide recommendations for selecting the best solutions to provide comprehensive protection against new and emerging malware threats.
In the ever-evolving landscape of cybersecurity, the adage “time is of the essence” holds especially true. The speed at which an organization can identify, respond to, and mitigate a cyber attack—known as incident response time—can significantly influence the extent of damage and recovery costs. A rapid response is crucial in minimizing the potential fallout from security breaches. To protect sensitive data, financial assets, and organizational reputation it is essential that the response is not just timely but effective.
In recent years, cybersecurity threats have evolved dramatically, with ransomware attacks becoming increasingly sophisticated and damaging. Among the latest trends in this digital arms race is the tactic known as double extortion. This method goes beyond encrypting a victim’s data by also threatening to expose it publicly unless a ransom is paid. Affected organizations thereby suffer double the pressure to comply with the demands.
CodeHunter has recently launched its integration with SentinelOne to provide customers with automated detection and analysis of advanced unknown malware threats.
While it is crucial to err on the side of caution, the prevalence of false positives can have significant ramifications for cybersecurity teams and overall organizational efficiency. A false positive occurs when a security system incorrectly identifies benign activity as malicious. A cybersecurity system like an Endpoint Detection and Response (EDR) platform or a Secure Email Gateway (SEG) flags an activity as a potential threat based on predefined rules, patterns, and algorithms. Due to the ever-changing and complex nature of cyber threats these rules and patterns are not foolproof. Many rely upon an updated catalog of known threats, leaving security teams dependent on information outside of their control. The National Vulnerability Database, for example, is so inundated with new threats that 75% of vulnerabilities submitted in 2024 have yet to be processed.
Resource Drain – Investigating false positives requires time and effort. Security teams often need to manually inspect and validate each alert, a time-consuming process. This diverts resources away from investigating genuine threats and proactive security measures.
Alert Fatigue – When security personnel are bombarded with false positives, they may become desensitized to alerts. This alert fatigue can cause legitimate vulnerabilities to be missed due to the sheer volume of flagged files to process.
Operational Disruption – Frequent false positives can lead to unnecessary disruptions in business operations. For example, when a legitimate file is flagged as suspicious business productivity slows as the security team works through the more recent alerts before realizing there is no real cause for suspicion.
Reduced Trust in Security Systems – Over time, a high rate of false positives can erode trust in cybersecurity systems. Security personnel might start to ignore alerts, assuming they are false, undermining the effectiveness of their organization’s security infrastructure.
Several factors contribute to the prevalence of false positives:
Overly Sensitive Detection Rules – Security systems with highly sensitive detection rules are more likely to flag benign activities as threats. While this sensitivity can help in detecting new or evolving threats, it also contributes to a greater alert workload.
Lack of Context – Many security systems operate without the full context of user behavior and organizational norms. Without this context, distinguishing between normal and abnormal file behavior becomes challenging.
Evolving Threat Landscape – The constantly changing nature of cyber threats means that detection rules need to be continuously updated. Maintaining this pace can be difficult, leading to outdated rules that misclassify activities.
Addressing the issue of false positives requires a multi-faceted approach:
1. Improving Detection Algorithms: Advanced machine learning and artificial intelligence can enhance the accuracy of threat detection systems. By learning from historical data and contextual information, these systems can better differentiate between legitimate and malicious activities.
2. Tiered Alerting Systems: Implementing a tiered alerting system can help prioritize alerts based on their severity and likelihood of being true positives. This approach allows security teams to focus their efforts on the most critical alerts first.
3. Regular Updates and Tuning: Continuously updating and tuning detection rules based on the latest threat intelligence can help minimize false positives. Security teams should routinely review and refine these rules to adapt to the evolving threat landscape.
ISC2 notes that only 52% of cybersecurity professionals believe that their organization has the tools and people needed to respond to cyber incidents over the next 2 to 3 years. That’s not good news for security teams already struggling to keep up with the daily warnings generated. So, what can be done to make the influx of alerts more manageable?
It’s no secret that having an active cybersecurity defense system is necessary to protect organizations from rampant cyber threats. Platforms like SentinelOne scan company environments at scale, running pattern-matching algorithms with rules informed by publicly known threats, threat actors, and their tendencies. Unfortunately, this abundance of caution comes with an abundance of alerts, far more than the typical security team can handle. That’s where CodeHunter comes in. CodeHunter’s threat hunting engine automatically analyzes flagged files at scale and at speed, producing actionable intelligence in a fraction of the time it takes to manually reverse engineer malware. CodeHunter’s SentinelOne integration relieves security teams of the burden of investigating every warning to the fullest, supplying in-depth analysis to support timely response and remediation processes. Because CodeHunter doesn’t rely on pattern matching to identify malware, it properly assesses alerts raised by other systems to determine if the behavior is actually suspicious or just a false positive caught by an overly sensitive algorithm.
Learn how CodeHunter can maximize your SentinelOne investment by minimizing false positives here.
In today’s digital age, cybersecurity has become paramount for organizations of all sizes. The demand for cybersecurity professionals has surged dramatically due to the growing number and complexity of cyberattacks. But supply has not met demand, as cybersecurity is not a widely popular education choice and is commonly one of the most dropped majors in college. In 2023 there were roughly 4 million cybersecurity professionals needed worldwide. The profession needs to almost double to be at full capacity.
In the ever-evolving landscape of cybersecurity threats, phishing is one of the most pervasive- and successful- attack vectors. This technique preys on human fallibilities rather than exploiting technical vulnerabilities, making it particularly challenging to defend against. According to IBM social engineering, the use of deceptive techniques to trick individuals into divulging sensitive information, accounts for 29% of breaches.
In today’s digital age, the idea of achieving absolute cybersecurity might seem like the Holy Grail. Businesses pour millions into advanced security systems, train employees rigorously, and implement best practices to shield themselves from cyber threats. Yet, the harsh reality persists, cybersecurity breaches are inevitable. Instead of clinging to a zero-tolerance mindset, organizations must pivot towards a strategy focused on resilience and damage control. When a breach happens, and it will, an organization’s ability to restore their mission critical systems and maintain business continuity will be critical to its success.
Zero-day malware is called such because it takes advantage of zero-day vulnerabilities, which are newly discovered flaws that have yet to be patched. The time when the vulnerability is discovered is referred to as “Day 0”. These vulnerabilities provide cyber attackers with a window of opportunity to launch their attacks, often catching victims- and their security systems- off guard. In the time that it takes for a patch to be deployed across an entire enterprise malware can already be siphoning critical information from your system.
