17 matches found
C0deVari4nt
C0deVari4nt 描述 C0deVari4nt 是一个变体分析与可视化工具，用于检查代码库中是否存在相似的漏洞。它利用 CodeQL（一种语义代码分析引擎），基于用户控制的 CodeQL 查询模板对代码进行查询，并将结果传递给基于 vis.js 和 React 构建的客户端界面，以供进一步探索和可视化。这使得基于先前漏洞报告进行快速、全面的变体分析成为可能。vis.js 的可视化功能为开发者提供了对易受攻击代码路径的额外洞察，使他们能够有效地对潜在变体进行优先级排序。 动机 2021 年 12 月的 Log4Shell 事件凸显了开源开发者在响应漏洞报告时面临的困难。在针对...
reconkg
reconkg A vulnerability triage tool. It takes what a scan already found, works out which CVEs plausibly apply, tells you how confident it is and why, and gives you the commands to check for yourself. It does not scan anything, and it does not exploit anything. Install on Kali root@kitploit: git...
What 50 open source projects taught us about security in the AI era
AI is changing the pace of open source development and the security challenges that come with it. Maintainers are reviewing unfamiliar contributions, managing new attack surfaces, and responding to vulnerabilities with limited time and resources. Session 4 of the GitHub Secure Open Source Fund...
Improper Authorization
Overview Affected versions of this package are vulnerable to Improper Authorization in the authorization process for public assets. An attacker can perform unauthorized actions such as creating, updating, reapplying, and deleting VEX rules, as well as making changes to vulnerability-triage...
snyk-agentic-appsec-poc
Snyk Agentic AppSec POC Proof of concept demonstrating autono...
sec-recon-agent
sec-recon-agent Type-safe security triage built on Pydantic A...
Lightweight Vulnerability Detection from Code Metrics and Token Features
Vulnerability detection for C/C++ code increasingly relies on heavy representations such as code graphs and deep models, while many practical workflows still benefit from fast and reproducible ranking baselines for human triage. This preprint studies a lightweight function-level vulnerability...
The Increasing Role of AI in Vulnerability Research
At Wordfence, we run a bug bounty program that pays out mid-six figures per year to researchers in bug bounties for WordPress related vulnerabilities. Funding this research helps us improve security for the WordPress community overall, and helps us secure our customers by rolling out protection f...
Red-Teaming Claude Opus and ChatGPT-Based Security Advisors for Trusted Execution Environments
Trusted Execution Environments TEEs e.g., Intel SGX and ArmTrustZone aim to protect sensitive computation from a compromised operating system, yet real deployments remain vulnerable to microarchitectural leakage, side-channel attacks, and fault injection. In parallel, security teams increasingly...
AXE: An Agentic EXploit Engine for Confirming Zero-Day Vulnerability Reports
Vulnerability detection tools are widely adopted in software projects, yet they often overwhelm maintainers with false positives and non-actionable reports. Automated exploitation systems can help validate these reports; however, existing approaches typically operate in isolation from detection...
AI-supported vulnerability triage with the GitHub Security Lab Taskflow Agent
Triaging security alerts is often very repetitive because false positives are caused by patterns that are obvious to a human auditor but difficult to encode as a formal code pattern. But large language models LLMs excel at matching the fuzzy patterns that traditional tools struggle with, so we at...
Prompting the Priorities: A First Look at Evaluating LLMs for Vulnerability Triage and Prioritization
Security analysts face increasing pressure to triage large and complex vulnerability backlogs. Large Language Models LLMs offer a potential aid by automating parts of the interpretation process. We evaluate four models ChatGPT, Claude, Gemini, and DeepSeek across twelve prompting techniques to...
Synergizing Static Analysis with Large Language Models for Vulnerability Discovery and Beyond
This report examines the synergy between Large Language Models LLMs and Static Application Security Testing SAST to improve vulnerability discovery. Traditional SAST tools, while effective for proactive security, are limited by high false-positive rates and a lack of contextual understanding...
New Research: Optimizing DAST Vulnerability Triage with Deep Learning
On November 11th 2022, Rapid7 will for the first time publish and present state-of-the-art machine learning ML research at AISec, the leading venue for AI/ML cybersecurity innovations. Led by Dr. Stuart Millar, Senior Data Scientist, Rapid7's multi-disciplinary ML group has designed a novel deep...
Moderate: Red Hat Security Advisory: Red Hat Advanced Cluster Security 3.68 security and enhancement update
Updated images are now available for Red Hat Advanced Cluster Security for Kubernetes RHACS. The updated image includes a bug fixes, security patches and new feature enhancements. Red Hat Product Security has rated this update as having a security impact of Moderate. A Common Vulnerability Scorin...
A proactive approach to more secure code
What if we could eliminate an entire class of vulnerabilities before they ever happened? Since 2004, the Microsoft Security Response Centre MSRC has triaged every reported Microsoft security vulnerability. From all that triage one astonishing fact sticks out: as Matt Miller discussed in his 2019...