DeFiHackLabs

DeFi Hacks Reproduce - Foundry Reproduce DeFi hack incidents using Foundry. 898 incidents included. Let's make Web3 secure! Join Discord Notion: 101 root cause analysis of past DeFi hacked incidents Transaction debugging tools Disclaimer: This content serves solely as a proof of concept showcasin...

0days-in-the-wild

0-days Exploited In-The-Wild This repository is a reference of documents about 0-day vulnerabilities detected as exploited in-the-wild. It includes both root cause analyses RCAs for each 0-day exploit as well as a table tracking each 0-day. These documents are intended to be viewed via the Github...

0days-in-the-wild

0-days explotados en la naturaleza Este repositorio es una referencia de documentos sobre vulnerabilidades de día cero detectadas como explotadas en la naturaleza. Incluye tanto análisis de causa raíz RCA para cada exploit de día cero como una tabla que rastrea cada día cero. Estos documentos est...

kernel-nday-exploits

Linux Kernel N-Day Exploits Local privilege escalation rese...

SPARC: Automated Root-Cause Analysis of Pre-Silicon Power Side-Channel Leakage in the Processor Design Flow

Power-Side-Channel Leakage PSCL originates from architectural and micro-architectural artifacts in a processor and poses a severe threat to the confidentiality of cryptographic software. Consequently, pre-silicon PSCL evaluation is indispensable for secure hardware design. Existing frameworks are...

security-research

Security Research OAuth / OIDC and auth-logic vulnerability...

CVE2PoC

CVE2PoC A prototype for generating real npm vulnerability PoC...

Exploit for CVE-2026-0532

CVE-2026-0...

Agentic Fuzzing: Opportunities and Challenges

Fuzzers and static analyzers find many bugs but struggle with logic bugs in mature codebases. Triggering such a bug often requires multi-step reasoning that produces no distinctive execution feedback, and variants can appear across implementations too different for a single pattern to match. Rece...

Beyond Code Reasoning: A Specification-Anchored Audit Framework for Expert-Augmented Security Verification

Security-critical software is routinely audited by tools that reason about vulnerabilities as repository-local code patterns. Yet specification-governed systems -- protocol stacks, consensus implementations, cryptographic libraries -- are constrained by invariants and correctness conditions defin...

cyber-punk

Cyber Punk Security Vulnerability Scanner A Claude Code plu...

Inside the Fix: Analysis of In-the-Wild Exploit of CVE-2026-21513

Read how PatchDiff-AI uncovered the root cause of CVE-2026-21513 — an actively exploited MSHTML vulnerability — and how APT28 leveraged it in real-world attacks...

Exploit for CVE-2025-12197

Security Research This repository contains my security resea...

Patch Wednesday: Root Cause Analysis with LLMs

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Inside the Fix: AI-Powered Root Cause Analysis of CVE-2025-60719

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LLM-Based Vulnerability Discovery through the Lens of Code Metrics

Large language models LLMs excel in many tasks of software engineering, yet progress in leveraging them for vulnerability discovery has stalled in recent years. To understand this phenomenon, we investigate LLMs through the lens of classic code metrics. Surprisingly, we find that a classifier...

InfoFlood: Jailbreaking Large Language Models with Information Overload

Large Language Models LLMs have demonstrated remarkable capabilities across various domains. However, their potential to generate harmful responses has raised significant societal and regulatory concerns, especially when manipulated by adversarial techniques known as "jailbreak" attacks. Existing...

Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond

The quantity and quality of vulnerability datasets are essential for developing deep learning solutions to vulnerability-related tasks. Due to the limited availability of vulnerabilities, a common approach to building such datasets is analyzing security patches in source code. However, existing...

LLM-BSCVM: an LLM-Based Blockchain Smart Contract Vulnerability Management Framework

Smart contracts are a key component of the Web 3.0 ecosystem, widely applied in blockchain services and decentralized applications. However, the automated execution feature of smart contracts makes them vulnerable to potential attacks due to inherent flaws, which can lead to severe security risks...

Abnormal Asset Behavior Detected (Medium)

This asset behavior is an anomaly that needs to be verified for the root cause. This plugin only works with Tenable.ot. Please visit https://www.tenable.com/products/tenable-ot for more information. %NASLMINLEVEL 80900 C Tenable, Inc. include'compat.inc'; if description scriptid503203;...