MalwarePT: A Binary-Level Foundation Model for Malware Analysis

Automated malware analysis increasingly relies on machine learning, yet most existing methods remain task-specific and depend on handcrafted features or narrowly scoped models. Recent developments in binary-level foundation models suggest a path toward reusable program representations, but their...

Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs

Transformer-based malware detection systems operating on graph modalities such as control flow graphs CFGs achieve strong performance by modeling structural relationships in program behavior. However, their robustness to adversarial evasion attacks remains underexplored. This paper examines the...

CVE-2025-7007

NULL Pointer Dereference vulnerability in Avast Antivirus on MacOS, Avast Anitvirus on Linux when scanning a malformed Windows PE file causes the antivirus process to crash.This issue affects Antivirus: 16.0.0; Anitvirus: 3.0.3...

CVE-2025-7007

NULL Pointer Dereference vulnerability in Avast Antivirus on MacOS, Avast Anitvirus on Linux when scanning a malformed Windows PE file causes the antivirus process to crash.This issue affects Antivirus: 16.0.0; Anitvirus: 3.0.3...

CVE-2025-7007 Null pointer dereference in Avast Antivirus on macOS (16.0.0) or Linux (3.0.3)

NULL Pointer Dereference vulnerability in Avast Antivirus on MacOS, Avast Anitvirus on Linux when scanning a malformed Windows PE file causes the antivirus process to crash.This issue affects Antivirus: 16.0.0; Anitvirus: 3.0.3...

CVE-2025-7007 Null pointer dereference in Avast Antivirus on macOS (16.0.0) or Linux (3.0.3)

NULL Pointer Dereference vulnerability in Avast Antivirus on MacOS, Avast Anitvirus on Linux when scanning a malformed Windows PE file causes the antivirus process to crash.This issue affects Antivirus: 16.0.0; Anitvirus: 3.0.3...

Dynamic Malware Classification of Windows PE Files Using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion

Malware detection and classification remains a topic of concern for cybersecurity, since it is becoming common for attackers to use advanced obfuscation on their malware to stay undetected. Conventional static analysis is not effective against polymorphic and metamorphic malware as these change...