613 matches found
FreeMOCA
FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis ArXiv Paper Link Zahra Asadi, Haeseung Jeon, Sohyun Han, Md Mahmuduzzaman Kamol, Se Eun Oh, Mohammad Saidur Rahman† Equally credited authors. †Corresponding author. !NOTE This is official implementation of the paper FreeMOCA:...
cve-2017-1182-TN
cve-2017-1182-TN Malware Analysis Testing...
Detect-CVE-2024-0762
CVE-2024-0762 检测与恶意软件分析脚本 概述 本脚本旨在检测 UEFI 固件版本并评估其是否存在 CVE-2024-0762 相关漏洞。此外，它集成了 VirusTotal API，用于分析文件中的恶意软件，提供全面的安全洞察： 功能 UEFI 固件检测 ：从 Windows 和 Linux 系统中检索 UEFI 固件版本。 漏洞评估 ：检查检测到的固件版本是否存在 CVE-2024-0762 漏洞。 VirusTotal 集成 ：将文件提交至 VirusTotal 进行恶意软件分析，并获取详细报告。 要求 Python 3.x ：确保已安装 Python 3。 Reques...
Hybrid Submit
Hybrid Analysis Batch Submission Script This Python script recursively scans a folder and submits executable, script, document, and other relevant files to Hybrid Analysis Falcon Sandbox for automated malware analysis. Features Recursively walks through directories Submits only supported file typ...
001-Malware-Analysis-CVE-2017-11882
This repository does not have a README...
ForensiX-Studio
ForensiX Studio Forensic Intelligence Platform | Malware Analysis | Threat Correlation Engine 🧠 Multi-Signal Analysis • ⚡ Behavioral Intelligence • 🎯 MITRE Mapping ⚠️ LEGAL DISCLAIMER ForensiX Studio is intended strictly for authorized digital forensics, security research, and defensive analysis. ...
Kalim_Backdoor
Kalim Backdoor Malware Analysis Report This Report will talk about the functionality of Kalim Backdoor Malware. Table of Contents: - What is Backdoor? - Technical Analysis. - Summary. - Tactics & Technique MITRE ATT&CK. - IOCs. - Yara Rule. What does Backdoor mean? A backdoor is a hidden...
DFIR-LABS
About DFIR LABS is a compilation of challenges that aims to provide practice in simple to advanced concepts in the following topics: Digital Forensics, Incident Response, Malware Analysis and Threat Hunting. This is aimed at Professionals, Security Researchers, Students, CTF Players as well as DF...
GOXLR-malware-family
このリポジトリは当初、goxlr.net で発見されたマルウェアの分析とレポート用のものでした。最近、彼らがさまざまなマルウェア亜種を配信する他のマルウェアドメインも複数運営していたことを発見しました。これまでのところすべてスティーラーで、すべて "goxlr" のクローンです。 そのため、現在は彼らの全ドメインから見つけられるすべてのサンプルをリバースエンジニアリングしています。この GitHub リポジトリが私の情報の中心です。サンプル1と2は goxlr.net から、サンプル3は goxlrapp.com から取得したものです。 C2...
mwcfg
マルウェア設定抽出ツール MalDuck 用のマルウェア設定抽出ツールとモジュール このプロジェクトは 🍺 と同じく無料です。商用、私的利用、その他どのような形でもご利用いただけます。 このプロジェクトを最も簡単に利用する方法は、mwcfg.info にアクセスして、すぐにマルウェア設定の抽出を始めることです。 このプロジェクトを気に入っていただき、マルウェアとの戦いを支援するために寄付 💰 を希望される場合... 私は 🍺 を飲まないので、🍵 を買ってください。16oXesi7uv3jdPZxxwarHSD2f3cNMpaih9 に ₿ を送っていただければ幸いです。 インストール:...
HydraDragonAntivirus openedr-v2-release-9
Hydra Dragon Antivirus WARNING: Highly outdated documenation here but for reference I keep it. Other than OpenEDR, MBRFilter, Sanctum etc. directories are fully deperecated for performance. 📚 For detailed documentation, architecture diagrams, and component guides, visit our Project Wiki. 🎥 POC:...
MISP 安全漏洞
MISP is a set of open-source software solutions developed by MISP. This product is used for collecting, storing, distributing, and sharing network security metrics. It also includes functions such as analyzing threats to network security and malware analysis. MISP has a security vulnerability tha...
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...
