Responsible-Disclosure

OpenAI Releases Astra Cybersecurity Evals and Safeguard Controls

FIRST LOOK ATLAS OWASP MEDIUM ▲ 7.2 OpenAI Blog Aug 08, 2026

OpenAI has published preliminary cybersecurity evaluations for its Astra model, alongside details on the safeguards and security controls being applied to address frontier cyber capability risks. This closes a meaningful transparency gap for defenders by providing structured evaluation data on how a frontier model performs against critical cyber capability benchmarks — enabling security teams to ground their risk assessments in empirical results rather than assumption. Residual gaps remain around the maturity and completeness of the evaluation methodology, third-party auditability, and how frequently these evaluations will be refreshed as the model evolves.

OpenAI Pauses Astra Model Over Critical Cybersecurity Threshold

FIRST LOOK ATLAS OWASP HIGH ▲ 8.2 TechCrunch AI Aug 08, 2026

OpenAI has publicly disclosed that its in-development Astra model reached a 'critical cybersecurity threshold' under its Preparedness Framework, triggering a voluntary suspension of certain development activities and engagement with government agencies and AI safety organisations. This marks a meaningful advance for defenders: a major lab operationalising its published safety framework to halt a model before deployment, demonstrating that pre-deployment capability evaluation can function as a genuine gate rather than a formality. Residual gaps remain around independent verification of threshold criteria, standardised cross-industry disclosure norms, and the maturity of government and third-party evaluation pipelines needed to act on these disclosures at pace.

Claude Opus Discovers API Flaw Enabling Ticket Fraud

ATLAS OWASP HIGH ▲ 8.2 Wired Security Jul 03, 2026

Security researcher Ian Carroll leveraged Anthropic's Claude Opus 4.7 to identify a critical vulnerability in Front Gate Tickets—a Live Nation subsidiary handling ticketing for major US festivals—that granted super-administrator access and the ability to freely issue tickets of any value. The case demonstrates LLM-assisted autonomous vulnerability discovery at scale, with Carroll noting the AI could likely have completed the full exploit chain without human intervention. Front Gate patched the flaw within 24 hours of disclosure, confirming no evidence of prior exploitation.

Anthropic Claude Code Prompt Injection Leaks Secrets

ATLAS OWASP HIGH ▲ 9.1 Microsoft Security Blog Jun 08, 2026

Microsoft Threat Intelligence disclosed a vulnerability in Anthropic's Claude Code GitHub Action whereby prompt injection via untrusted GitHub content — issue bodies, PR descriptions, and comments — could cause the AI agent to read sensitive environment variables, including the ANTHROPIC_API_KEY, from /proc/self/environ. The flaw stemmed from inconsistent sandboxing: while subprocess execution paths like Bash were scrubbed of environment variables, the Read tool had no equivalent restriction. Anthropic patched the issue in Claude Code version 2.1.128 by blocking access to sensitive /proc filesystem paths.

CVE-2026-26030: Semantic Kernel RCE via Prompt Injection

ATLAS OWASP CRITICAL ▲ 9.2 Microsoft Security Blog May 08, 2026

Microsoft's Defender Security Research Team disclosed two CVEs in Semantic Kernel — a widely-used AI agent orchestration framework — demonstrating how prompt injection can escalate to remote code execution via compromised plugins. The vulnerabilities (CVE-2026-26030 and CVE-2026-25592) expose a systemic risk in the agentic AI layer: because frameworks like Semantic Kernel abstract tool orchestration, a single flaw in how LLM outputs are mapped to system tools can propagate across every application built on that foundation. This research signals a critical shift in AI threat modelling, where prompt injection is no longer a content risk but an execution risk.

Anthropic Claude Memory Poisoning Enables Prompt Injection

ATLAS OWASP HIGH ▲ 8.2 Dark Reading Apr 24, 2026

Cisco researchers discovered and reported a significant vulnerability in how Anthropic's AI systems handle memory files, which has since been patched. The flaw highlights a broader, systemic risk in agentic AI architectures where persistent memory mechanisms can be exploited to inject malicious instructions or exfiltrate sensitive data across sessions. Security experts caution that memory mismanagement in AI agents represents an enduring attack surface that extends well beyond any single vendor fix.