GoBGP has Remote Denial of Service (Panic) in UpdatePathAttrs4ByteAs via Malformed BGP UPDATE

Summary A remote Denial of Service DoS vulnerability exists in GoBGP where a malformed BGP UPDATE message can trigger a runtime error: index out of range panic. This occurs during the processing of 4-byte AS attributes when the message structure causes an internal slice index shift that is not...

Webinar: How to Automate Exposure Validation to Match the Speed of AI Attacks

In February 2026, researchers uncovered a shift that completely changed the game: threat actors are now using custom AI setups to automate attacks directly into the kill chain. We aren't just talking about AI writing better phishing emails anymore. We’re talking about autonomous agents mapping...

What Anthropic’s Mythos Means for the Future of Cybersecurity

Two weeks ago, Anthropic announced that its new model, Claude Mythos Preview, can autonomously find and weaponize software vulnerabilities, turning them into working exploits without expert guidance. These were vulnerabilities in key software like operating systems and internet infrastructure tha...

From CRUD to Autonomous Agents: Formal Validation and Zero-Trust Security for Semantic Gateways in AI-Native Enterprise Systems

Enterprise software engineering is shifting away from deterministic CRUD/REST architectures toward AI-native systems where large language models act as cognitive orchestrators. This transition introduces a critical security tension: probabilistic LLMs weaken classical mechanisms for validation,...

Threat-Oriented Digital Twinning for Security Evaluation of Autonomous Platforms

Open, unclassified research on secure autonomy is constrained by limited access to operational platforms, contested communications infrastructure, and representative adversarial test conditions. This paper presents a threat-oriented digital twinning methodology for cybersecurity evaluation of...

AgentWard: A Lifecycle Security Architecture for Autonomous AI Agents

Autonomous AI agents extend large language models into full runtime systems that load skills, ingest external content, maintain memory, plan multi-step actions, and invoke privileged tools. In such systems, security failures rarely remain confined to a single interface; instead, they can propagat...

name-Omni

Omni – Autonomous Red Team Lead & Bug Bounty Hunter Powered...

Poster: ClawdGo: Endogenous Security Awareness Training for Autonomous AI Agents

Autonomous AI agents deployed on platforms such as OpenClaw face prompt injection, memory poisoning, supply-chain attacks, and social engineering, yet existing defences address only the platform perimeter, leaving the agent's own threat judgement entirely untrained. We present ClawdGo, a framewor...

Nexusuite

Nexusuite Next-Gen Autonomous Pentesting Suite. Scan targets w...

Automation-Exploit: A Multi-Agent LLM Framework for Adaptive Offensive Security with Digital Twin-Based Risk-Mitigated Exploitation

The offensive security landscape is highly fragmented: enterprise platforms avoid memory-corruption vulnerabilities due to Denial of Service DoS risks, Automatic Exploit Generation AEG systems suffer from semantic blindness, and Large Language Model LLM agents face safety alignment filters and...

vlnr

vlnr: Autonomous Vulnerability Discovery Pipeline !Python 3...

PatchChain-Multi-Agent-Agentic-Pipeline-for-Autonomous-Code-Vulnerability-Analysis

No d...

Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges

Large Language Model LLM agents are increasingly proposed for autonomous cybersecurity tasks, but their capabilities in realistic offensive settings remain poorly understood. We present DeepRed, an open-source benchmark for evaluating LLM-based agents on realistic Capture The Flag CTF challenges ...

Mythos: An AI tool too powerful for public release

Anthropic’s most capable model to date, Claude Mythos Preview aka Mythos, has been described as a “step change” in AI performance, especially on cybersecurity tasks. Anthropic tried to keep Mythos a secret until a few weeks ago, when a data leak revealed the existence of what the company said was...

ExploitIQ

⚡ ExploitIQ Autonomous AI-Powered Penetration Testing Assis...

exploitra

🚀 EXPLOITRA v1.0 - Advanced Vulnerability Engine EXPLOITRA...

CSLE: A Reinforcement Learning Platform for Autonomous Security Management

Reinforcement learning is a promising approach to autonomous and adaptive security management in networked systems. However, current reinforcement learning solutions for security management are mostly limited to simulation environments and it is unclear how they generalize to operational systems...

Towards Personalizing Secure Programming Education with LLM-Injected Vulnerabilities

According to constructivist theory, students learn software security more effectively when examples are grounded in their own code. Generic examples often fail to connect with students' prior work, limiting engagement and understanding. Advances in LLMs are now making it possible to automatically...

CVE-2026-0233

A certificate validation vulnerability in Palo Alto Networks Autonomous Digital Experience Manager on Windows allows an unauthenticated attacker with adjacent network access to execute arbitrary code with NT AUTHORITY\SYSTEM privileges...

Security and Resilience in Autonomous Vehicles: A Proactive Design Approach

Autonomous vehicles AVs promise efficient, clean and cost-effective transportation systems, but their reliance on sensors, wireless communications, and decision-making systems makes them vulnerable to cyberattacks and physical threats. This chapter presents novel design techniques to strengthen t...