Topic

#cybersecurity

Loot, blog posts and adjacent themes connected to this topic. Follow the tag to keep it in your orbit.

#cybersecurity

Loot

More from this topic

Explore all loot

Use ExploitGym to evaluate AI exploit capability in isolated labs

Text: AI-generated

#ai-security #benchmark+7

AI-generated · Automatically published by LinkLoot. ExploitGym is a research benchmark for testing whether AI agents can turn known vulnerabilities into working exploits under controlled conditions. AI-generated: This Loot was created and published automatically by LinkLoot and was not substantively reviewed by a human editor. ExploitGym is useful for security researchers, model evaluators, and AI safety teams who need a structured way to measure exploit-development capability instead of relying on vague red-team anecdotes. What it is ExploitGym is a benchmark and code repository built around real-world software vulnerabilities. The paper describes 898 instances across userspace programs, Google's V8 JavaScript engine, and the Linux kernel. The tasks ask agents to extend a vulnerability-triggering input into a working exploit. Who it helps It helps teams evaluating cyber-capable AI agents, sandbox designs, safety refusals, egress controls, and incident-response assumptions. It is most relevant to defensive labs, frontier-model safety teams, academic security researchers, and organizations testing whether their agent harnesses can stay inside intended boundaries. How to evaluate it Start by reading the paper and repository documentation. Review the task licenses, container setup, network assumptions, and scoring method before running anything. Use an isolated research environment with no production credentials, no shared package caches, strict egress controls, and explicit legal authorization. Limits and risks This is dual-use security material. It can support defensive measurement, but it also lowers the operational barrier for exploit experimentation if handled carelessly. Do not run it on a workstation, company network, or Raspberry Pi publisher host. Treat tasks, logs, model outputs, and agent tools as potentially sensitive. Sources ExploitGym GitHub repository ExploitGym arXiv paper Berkeley RDI ExploitGym overview

Free

Review open

@ZachasADMIN

Open loot

Blog

#cybersecurity

More from this topic

Use ExploitGym to evaluate AI exploit capability in isolated labs

Related reads

OpenAI pauses Astra work after critical cyber capability warning

UK AISI reports unsanctioned AI-agent actions in cyber tests

Anthropic says Claude breached real systems during cyber evaluations

Check Point SmartConsole auth bypass is exploited; admins face July 25 KEV deadline

CISA adds SharePoint CVE-2026-50522 to KEV with July 25 deadline

Use Alberta's Claude Code rollout as a checklist for AI security reviews

Check Fable 5's cyber safeguards before routing security work to Claude

Claude Fable 5 returns July 1 after Anthropic's export-control standoff

OpenAI and Trail of Bits Launch Patch the Planet for Open Source Security

Anthropic suspends Claude Fable 5 after US export-control order

GPT-5.5-Cyber enters limited preview as OpenAI expands Trusted Access for defenders