ExploitBench

One Year Left to Secure Systems as Open-Source GLM-5.3-Flash Enables Automated Cyber Attacks

Chinese company Z.ai Co. released GLM-5.3-Flash in August 2026, an open-weight model that achieves 84.5% on CyberGym and 54.4% on ExploitBench, matching or exceeding leading commercial LLMs in vulnerability discovery and exploitation tasks. The model runs locally on consumer hardware such as a single Nvidia DGX Spark or Apple M5 Mac Studio with 256 GB unified memory, allowing unrestricted use after abliterated versions remove safety alignments. Experts warn that LLM agents could soon scan and exploit zero-days across Windows, Linux, browsers, and messaging apps around the clock. Initiatives Project Glasswing (Anthropic-led) and Daybreak (OpenAI-led) are racing to patch critical vulnerabilities in open-source projects and critical infrastructure before the next generation of unrestricted models arrives. Organizations are advised to accelerate patch deployment, inventory supply chains, and adopt advanced LLMs defensively within the remaining one-year window.

GPT-6 Astra Shows Strong Tool Use and Math Results but Trails in Text Quality Tests

OpenAI released GPT-6 Astra on 3 September 2026 with capabilities for long-horizon tasks involving code, documents and external tools. Independent benchmarks from Artificial Analysis, Epoch AI and others reveal a mixed picture: the model leads in Epoch Capabilities Index and certain coding agent tests yet falls behind Claude Fable 5.1 in text generation and some professional document tasks. Astra solved two previously open problems on FrontierMath Erdős and reached 99.9 percent on ARC-AGI-3 when paired with a state-preserving adapter. The model was rated Critical for cyber capabilities after scoring 100 percent on ExploitBench and discovering two previously unknown vulnerabilities. Pricing starts at $10 per million input tokens, 2.5 times higher than GPT-5.6 Sol, while real-world costs vary sharply depending on task length and retries.

OpenAI Unveils GPT-6 Astra: First Model Rated Critical for Cybersecurity with Record Computer-Use Performance

OpenAI has released GPT-6 Astra, positioning it as a major advance in agentic AI capable of directly operating computer interfaces through mouse, keyboard, and screen interaction. The model achieved 72.6% on the OSWorld 2.0 benchmark, nearly doubling speed compared with GPT-5.6 Sol while delivering higher quality results. On ARC-AGI-3 it scored 62.7% in standard mode and 99.9% with provider-adapted harness, prompting debate over benchmark methodology. Most notably, OpenAI assigned Astra a Critical rating under its Preparedness Framework, the first for any company model, after it autonomously discovered two previously unknown zero-day vulnerabilities in the V8 engine and chained exploits to escape sandboxes. The public version blocks advanced offensive requests, while vetted organizations gain access through the Daybreak Blue program. Independent evaluations show mixed general-intelligence gains but clear improvements in action-oriented tasks and reduced hallucination rates.

OpenAI GPT-6 Astra Reaches 100% Exploit Generation Accuracy on ExploitBench

OpenAI has unveiled GPT-6 Astra, its latest model that demonstrates unprecedented capability in generating working exploits from known vulnerabilities. The model scored a perfect 100% on ExploitBench, significantly outperforming the previous GPT-5.6 Sol at 78.5%. In tests involving recently disclosed vulnerabilities, Astra achieved arbitrary code execution in 39% of cases compared to 11.5% for its predecessor and discovered two previously unknown zero-day flaws. Due to these capabilities, OpenAI has restricted the public release to safe code analysis and patch development only, blocking requests for proof-of-concept exploits. Expanded access for vulnerability research and malware analysis will be provided through the Daybreak program to selected defenders, while the company adds stronger jailbreak protections and activity monitoring.