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Stay ahead of threats with the latest on evasion techniques in infosec. Insights on how attackers bypass defenses and updates on countermeasures.

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Evasion is the deliberate concealment or modification of malicious code, commands, traffic, or behavior to bypass security controls and avoid detection. Common examples include code obfuscation, encrypted or rapidly changing payloads, abuse of trusted system tools, and disguising command-and-control traffic as ordinary network activity. It can target antivirus signatures, email and web filters, endpoint monitoring, or analysts investigating suspicious activity.

Successful evasion can reduce visibility, delay detection, and allow unauthorized activity to continue, although it may still leave behavioral or operational evidence. Mitigation should combine signature detection with behavior-based analytics and reliable endpoint, identity, and network telemetry. Restricting unnecessary scripting and administrative tools, applying application controls, and protecting centralized logs make abuse harder and preserve evidence. During investigations, examine process ancestry, unusual tool use, persistence changes, and deviations from expected user or host behavior rather than relying solely on file hashes or other easily changed indicators.

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A new phishing-as-a-service (PhaaS) operation called Forg365 is using a combination of device code phishing, adversary-in-the-middle (AitM) tactics, antibot evasion, artificial intelligence (AI)-assisted lure creation, and post-compromise mailbox operations targeting Microsoft 365 accounts

Artificial Intelligence (AI) is changing how individuals and organizations conduct many activities, including how cybercriminals carry out phishing attacks and iterate on malware. Now, cybercriminals are using AI to generate personalized phishing emails, deepfakes and malware that evade traditional detection by impersonating normal user activity and bypassing legacy security models. As a result,

Cybersecurity researchers have disclosed that artificial intelligence (AI) assistants that support web browsing or URL fetching capabilities can be turned into stealthy command-and-control (C2) relays, a technique that could allow attackers to blend into legitimate enterprise communications and evade detection

If there’s a constant in cybersecurity, it’s that adversaries are always innovating. The rise of offensive AI is transforming attack strategies and making them harder to detect. Google’s Threat Intelligence Group, recently reported on adversaries using Large Language Models (LLMs) to both conceal code and generate malicious scripts on the fly, letting malware shape-shift in real-time to evade

Security experts have disclosed details of an active malware campaign that's exploiting a DLL side-loading vulnerability in a legitimate binary associated with the open-source c-ares library to bypass security controls and deliver a wide range of commodity trojans and stealers

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