IDAssist v2.3.0

IDAssist AI-Powered Reverse Engineering Plugin for IDA Pro Author: Jason Tang Description IDAssist is an IDA Pro plugin that integrates LLM-powered analysis directly into IDA's interface, providing AI-assisted binary reverse engineering through configurable LLM providers, semantic knowledge graph...

skyvern v1.0.52

🐉 Automate Browser-based workflows using LLMs and Computer Vision 🐉 Skyvern automates browser-based workflows using LLMs and computer vision. It provides a Playwright-compatible SDK that adds AI functionality on top of playwright, as well as a no-code workflow builder to help both technical and...

agentic-dm-gateway — Updated!

Agentic DM Gateway Security control plane for LLM agents over private chat typically Discord DMs. It sits in front of your agent. It decides who may talk, whether the session is unlocked, whether the process is paused, and whether this message is safe enough to forward. Your model and tools stay...

Shifting from Injection to Interaction: Rethinking Web Security in the Age of LLMs and Beyond

Large language models LLMs are becoming integral to web applications and browser agents, transforming online interactions while introducing new attack vectors and reshaping longstanding web vulnerabilities. Classical threats such as cross-site scripting XSS can be amplified through LLM-mediated...

AlcaTRAz - Anchored Tree-Rule Defense against Jailbreaks

Large language models LLMs are vulnerable to jailbreak attacks that bypass safety alignment through carefully crafted prompts. Many existing defenses require access to model weights or internals, making them difficult to apply to black-box deployments. We propose AlcaTRAz Anchored Tree-Rule defen...

Mind the Gap: Robustness Risks in PII Detection Systems

Personally Identifiable Information PII detection is a foundational component of data protection infrastructure where missed entities constitute direct privacy and security risks. Although modern PII systems report strong performance on standard benchmarks, we show that these evaluations mask...

SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center

Large language model LLM agents are increasingly proposed as autonomous SOC analysts, but two limitations make them unreliable at enterprise scale: a finite context window cannot hold a multi-thousand-host authentication graph, and free-form generation offers no guarantee that a recommended...

Engineered Persuasion: Evaluating Personalized Pretexts in LLM-Generated Spear Phishing

Large language models can insert workplace details into phishing pretexts at low cost, but those details may either support or undermine a message's credibility. We recruited 180 U.S. working adults to evaluate simulated, AI-generated phishing emails in a disclosed survey. The emails used four...

CVE-2026-84377

A flaw was found in LiteLLM, a proxy server for Large Language Model LLM APIs. An authenticated remote attacker could exploit incomplete request validation to redirect outbound provider calls to an attacker-controlled destination. This Server-Side Request Forgery SSRF vulnerability could lead to...

[SECURITY] Fedora 44 Update: python-llm-0.33-2.fc44

A CLI tool and Python library for interacting with Large Language Models, both via remote APIs and with models that can be installed and run on your own machine...

SpiderSapien: Client-Centric Web Crawler and Security Scanner

Black-box web application crawling and scanning play an important role for security testing of web applications. Yet state-of-the-art scanners fall short of addressing key characteristics of a modern web application: its extreme dynamism and interactivity on the client side. This paper identifies...

CAPTURE: Disentangling Preference Drift from Memory Poisoning in Personalized LLM Agents

Personalized language agents use persistent memory to adapt to users over time, but the same mechanism creates an attack surface. When new information conflicts with stored preferences, an agent must distinguish genuine preference drift from temporary context shifts, ambiguity, or adversarial...

Automated Vulnerability Injection in Smart Contracts Using Large Language Models

Assessing vulnerability detection tools for smart contracts requires datasets with known ground truth, yet such datasets are scarce and difficult to build by hand. We propose an approach that uses Large Language Models LLMs to automatically inject vulnerabilities into Solidity smart contracts, an...

Fedora 44 : python-llm (2026-4f3301f569)

The remote Fedora 44 host has a package installed that is affected by a vulnerability as referenced in the FEDORA-2026-4f3301f569 advisory. Update to latest upstream release python llm 0.33 Tenable has extracted the preceding description block directly from the Fedora security advisory. Note that...

PT-2026-84825

Name of the Vulnerable Software and Affected Versions TOON versions prior to 2.3.1 Description Decoding attacker-controlled TOON data containing proto , constructor, or prototype keys allows for prototype pollution of Object.prototype for the runtime. This occurs because the software writes throu...

Trust Me, I'M Your Developer: Self-Issued Authentication in Large Language Models

Large language model LLM security has largely focused on role-playing jailbreaks, with less attention to what happens when a user asks an LLM to verify an identity claim through a test designed by the model itself. We study this behavior through a staged developer-identity experiment with ChatGPT...

Important: Red Hat Security Advisory: Red Hat Enterprise Linux AI 3.3.6 enhancement update

Updated Red Hat Enterprise Linux AI 3.3.6 container images are now available. Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models LLMs for enterprise applications. This update provides the latest Red Hat Enterprise...

beelzebub v3.9.1

Beelzebub Deception Runtime Framework Beelzebub is an open-source deception runtime that deploys adaptive, LLM-powered decoy services across SSH, HTTP, TCP, TELNET, and MCP protocols. It goes beyond passive honeypots by actively engaging attackers in realistic interactions, collecting high-fideli...

Russia-Aligned UAC-0099 Plants Nuclear Weapon Prompt in Malware to Disrupt AI Analysis

Cybersecurity researchers have disclosed a new technique dubbed GuardBreaker that's been put to use by a Russia-aligned threat actor known as UAC-0099 against a target in Ukraine with an aim to interfere with artificial intelligence AI-assisted analysis. The idea, ESET said in a series of posts o...

awesome-ai-security — Updated!

awesome-ai-security A curated list of AI Security materials and resources for Pentesters, Bug Hunters, and Security Researchers. If you find that some links are not working, you can simply replace the username with gmh5225. Or you can send an issue for me. Show respect to all the projects below,...