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...

Decepticon

⚡ Decepticon — Autonomous Multi-Agent Offensive Security !L...

EUVD-2026-21898

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...

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...

AnyPoC: Universal Proof-Of-Concept Test Generation for Scalable LLM-Based Bug Detection

While recent LLM-based agents can identify many candidate bugs in source code, their reports remain static hypotheses that require manual validation, limiting the practicality of automated bug detection. We frame this challenge as a test generation task: given a candidate report, synthesizing an...

Palo Alto Networks Autonomous Digital Experience Manager 安全漏洞

Palo Alto Networks Autonomous Digital Experience Manager is an artificial intelligence-based platform for monitoring and analyzing terminal and network experiences developed by Palo Alto Networks. There is a security vulnerability in Palo Alto Networks Autonomous Digital Experience Manager, which...

SIR-Bench: Evaluating Investigation Depth in Security Incident Response Agents

We present SIR-Bench, a benchmark of 794 test cases for evaluating autonomous security incident response agents that distinguishes genuine forensic investigation from alert parroting. Derived from 129 anonymized incident patterns with expert-validated ground truth, SIR-Bench measures not only...

Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents

Autonomous AI agents built on open-source runtimes such as OpenClaw expose every available tool to every session by default, regardless of the task. A summarization task receives the same shell execution, subagent spawning, and credential access capabilities as a code deployment task, a 15x...

Claude Mythos: Preparing for a World Where AI Finds and Exploits Vulnerabilities Faster Than Ever

Anthropic's new model can autonomously discover zero-days and develop working exploits. While access is currently limited to responsible actors, now is the time to strengthen response playbooks, reduce exposure, and incorporate AI into security programs...

CVE-2026-33783

A Function Call With Incorrect Argument Type vulnerability in the sensor interface of Juniper Networks Junos OS Evolved on PTX Series allows a network-based, authenticated attacker with low privileges to cause a complete Denial of Service DoS. If colored SRTE policy tunnels are provisioned via...

CVE-2026-33783

Junos OS Evolved on PTX Series is affected when SRTE policy tunnels are provisioned via PCEP and gRPC is used to monitor traffic; evo-aftmand crashes and requires manual restart, causing persistent DoS. The issue occurs only if the Originator ASN field in PCEP exceeds 65,535 (32-bit ASN). Affecte...

The agentic SOC—Rethinking SecOps for the next decade

Every major shift in cyberattacker behavior over the past decade has followed a meaningful shift in how defenders operate. When security operation centers SOCs deployed endpoint detection and response EDR—and later extended detection and response XDR—security teams raised the bar, pushing...

LLMtary

LLMtary Elementary — AI-Powered Penetration Testing Platform...

[SECURITY] Fedora 43 Update: goose-1.23.2-7.fc43

Goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously...