cve-scores

CVE Scores EPSS & VEDAS Score Aggregator for CVEs Data Providers SCORE| MAINTAINER| PURPOSE| COVERAGE| ATTRIBUTION| FREQUENCY ---|---|---|---|---|--- Exploit Prediction Scoring System EPSS| Empirical Security| Prediction of Future Exploitation| 1 Identifier CVE| Proprietary Data sourced from Data...

nmap-vulners

nmap-vulners Turn an nmap service scan into a ranked list of CVEs, exploits and what is being attacked in the wild. One NSE script that takes the software nmap already identified, asks the Vulners database what is known about it, and prints the answer inside the scan report - worst first, by what...

misp-dashboard

misp-dashboard A dashboard showing live data and statistics from the ZMQ feeds of one or more MISP instances. The dashboard can be used as a real-time situational awareness tool to gather threat intelligence information. The misp-dashboard includes a gamification tool to show the contributions of...

raink

Use LLMs for document ranking. Description There's power in AI in that you can "throw a problem at it" and get some result, without even fully defining the problem. For example, give it a bunch of code diffs and a security advisory, and ask, "Which of these diffs seems most likely to fix the...

stringsifter

StringSifter is a machine learning tool that automatically ranks strings based on their relevance for malware analysis. Quick Links Technical Blogpost - Learning to Rank Strings Output for Speedier Malware Analysis Announcement Blogpost - Open Sourcing StringSifter DerbyCon Talk - StringSifter:...

CVE-2026-79668

Ech0 versions before 4.7.3 contain an authentication bypass in the PUT /api/echo/like/:id endpoint. The endpoint lacks both identity verification and rate limiting, allowing unauthenticated attackers to repeatedly increment the fav_count field for any known echo identifier. This can arbitrarily i...

Drug Sites Hijacked Spotify’s Search Ranking Through Fake Podcasts

A joint congressional report describes a spam operation that turned tens of thousands of fake podcasts into search-engine bait for illegal pharmacy and scam sites...

CyBOKClaw: Human-In-The-Loop CyBOK Mapping for Cybersecurity Curriculum

This paper presents CyBOKClaw, an interpretable human-in-the-loop retrieval framework for mapping cybersecurity keywords or phrases KWoPs to the Cyber Security Body of Knowledge CyBOK. Rather than treating the task as strict exact classification, the framework is designed as a top-k candidate...

eip-mcp

Exploit Intel Platform MCP Server Package/command: eip-mcp...

Flawfinder 2.0.20

Flawfinder searches through source code for potential security flaws, listing potential security flaws sorted by risk, with the most potentially dangerous flaws shown first. This risk level depends not only on the function, but on the values of the parameters of the function...

Vulnerability-Exploit-Correlation-Engine

Vulnerability-Exploit-Correlation-Engine Passive-analysis CLI...

Root-Cause-Driven Automated Vulnerability Repair

Recent LLM-based systems have made automated vulnerability repair increasingly practical, but two challenges remain. First, without strong signals about where a bug originates, repair agents drift toward shallow edits that silence the observed failure while leaving the underlying defect unresolve...

SecCodePRM: A Process Reward Model for Code Security

Large Language Models are rapidly becoming core components of modern software development workflows, yet ensuring code security remains challenging. Existing vulnerability detection pipelines either rely on static analyzers or use LLM/GNN-based detectors trained with coarse program-level...

WiFiPenTester: Advancing Wireless Ethical Hacking with Governed GenAI

Wireless ethical hacking relies heavily on skilled practitioners manually interpreting reconnaissance results and executing complex, time-sensitive sequences of commands to identify vulnerable targets, capture authentication handshakes, and assess password resilience; a process that is inherently...

CAFE-GB: Scalable and Stable Feature Selection for Malware Detection Via Chunk-Wise Aggregated Gradient Boosting

High-dimensional malware datasets often exhibit feature redundancy, instability, and scalability limitations, which hinder the effectiveness and interpretability of machine learning-based malware detection systems. Although feature selection is commonly employed to mitigate these issues, many...

CVE-2026-23873 HUSTOJ is Vulnerable to Stored CSV Injection (Formula Injection) in Contest Rank Export

hustoj is an open source online judge based on PHP/C++/MySQL/Linux for ACM/ICPC and NOIP training. All versions are vulnerable to CSV Injection Formula Injection through the contest rank export functionality contestrank.xls.php and admin/ranklistexport.php. The application fails to sanitize...

ChrimeraWire Trojan Fakes Chrome Activity to Manipulate Search Rankings

ChrimeraWire is a new Windows trojan that automates web browsing through Chrome to simulate user activity and manipulate search engine rankings...

Sift or Get off the PoC: Applying Information Retrieval to Vulnerability Research with SiftRank

Security research is fundamentally a problem of resource constraint and consequent prioritization. There is simply too much attack surface and too little time and energy to spend analyzing it all. The most effective security researchers are often those who are most skilled at intuitively deciding...

MAL-2025-146500 Malicious code in prettier-polaris-avior-chalk (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 3192b3b22373e63e2493a019959c33075e6492d8e743c885cf39b43bda1abca1 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

Are LLMs Reliable Rankers? Rank Manipulation Via Two-Stage Token Optimization

Large language models LLMs are increasingly used as rerankers in information retrieval, yet their ranking behavior can be steered by small, natural-sounding prompts. To expose this vulnerability, we present Rank Anything First RAF, a two-stage token optimization method that crafts concise textual...