MAECO-Lite: Modular Ontology for Dynamic Malware Analysis

Capturing dynamic malware behavior in a practical but still semantically precise manner remains a significant challenge in cyber threat intelligence. While standards such as MAEC and STIX provide widely adopted vocabularies for describing malware artifacts and observations, they represent data wi...

Automatically Attacking Software Reverse Engineering AI Agents

Software tools for reverse engineering executable binary files, such as Ghidra, enable malware analysts to safely conduct robust static analysis without having access to original source code. Coupled with the analytic power of large language models LLM, agentic systems enabled with tools, such as...

A Large Language Model Approach to Generating Bypass Rules for Malware Evasion in Analysis Sandbox

Sandbox evasion remains a critical challenge for automated malware analysis, as modern malware employs environment checks to detect analysis platforms and suppress malicious behavior. Existing approaches rely on manually crafted bypass rules that require deep reverse engineering of each evasion...

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...

Memory Forensics Techniques for Automated Detection and Analysis of Go Malware

The Go programming language has become increasingly popular among malware developers due to its ability to produce statically linked, cross-platform executables that challenge traditional analysis techniques. These binaries embed a substantial runtime and compiler-generated metadata and are...

FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis

As over 200 million new malware samples are identified each year, antivirus systems must continuously adapt to the evolving threat landscape. However, retraining solely on new samples leads to catastrophic forgetting and exploitable blind spots, while retraining on the entire dataset incurs...

ethical-hacking-lab-reports

Ethical Hacking & Information Security Lab Reports !Security...

obliteratus-brain

OBLITERATUS BRAIN The Persistent Knowledge Layer for OBLITE...

OpenAI Launches GPT-5.4-Cyber to Boost Defensive Cybersecurity

OpenAI unveils GPT-5.4-Cyber, a cybersecurity-focused model built to help defenders analyze malware and fix software bugs. The company is also expanding its Trusted Access for Cyber TAC program to thousands of verified experts...

Transparent COM instrumentation for malware analysis

COM automation is a core Windows technology that allows code to access external functionality through well-defined interfaces. It is similar to traditionally loading a DLL, but is class-based rather than function-based. Many advanced Windows capabilities are exposed through COM, such as Windows...

Before You Hand over the Wheel: Evaluating LLMs for Security Incident Analysis

Security incident analysis SIA poses a major challenge for security operations centers, which must manage overwhelming alert volumes, large and diverse data sources, complex toolchains, and limited analyst expertise. These difficulties intensify because incidents evolve dynamically and require...

An Explainable Memory Forensics Approach for Malware Analysis

Memory forensics is an effective methodology for analyzing living-off-the-land malware, including threats that employ evasion, obfuscation, anti-analysis, and steganographic techniques. By capturing volatile system state, memory analysis enables the recovery of transient artifacts such as decrypt...

Ethical-Hacking-Tools-Level2

🛡️ Cybersecurity & Python Portfolio - Level 2 Author: Pa...

ctf-skills

ctf-skills Claude Codehttps://docs.anthropic.com/en/docs/c...

📄 HEUR.Backdoor.Win32.Poison.gen DLL Hijacking

This code implements an advanced WININET.dll proxy via DLL hijacking that is designed as a defensive countermeasure against malware such as HEUR.Backdoor.Win32.Poison.gen. The malware family Poison loads a 32‑bit WININET.dll from its current directory, which enables execution flow hijacking MITRE...

MalwareAnalysisProject

MalwareAnalysisProject Introduction to exploit development wit...

📄 Backdoor.Win32.ControlTotal.t Hardcoded-Password Backdoor

This tool was design to leverage a hardcoded password backdoor in Backdoor.Win32.ControlTotal.t to simulate communications with the malware. ============================================================================================================================================= | Title :...

Packed Malware Detection Using Grayscale Binary-To-Image Representations

Detecting packed executables is a critical step in malware analysis, as packing obscures the original code and complicates static inspection. This study evaluates both classical feature-based methods and deep learning approaches that transform binary executables into visual representations,...

AI-Automated Threat Hunting Brings GhostPenguin Out of the Shadows

In this blog entry, Trend™ Research provides a comprehensive breakdown of GhostPenguin, a previously undocumented Linux backdoor with low detection rates that was discovered through AI-powered threat hunting and in-depth malware analysis...

3 SOC Challenges You Need to Solve Before 2026

2026 will mark a pivotal shift in cybersecurity. Threat actors are moving from experimenting with AI to making it their primary weapon, using it to scale attacks, automate reconnaissance, and craft hyper-realistic social engineering campaigns. The Storm on the Horizon Global world instability,...