AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
Critical
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Latest AI Security Threats
Showing 20 of 4307 resultsCVE-2025-54950ExecuTorch: OOB read in model loader enables RCE9.80.6%executorchAug 8CRITCVE-2025-54951ExecuTorch: heap buffer overflow RCE in model loading9.80.7%executorchAug 8CRITCVE-2025-30404ExecuTorch: integer overflow RCE on model load9.80.6%executorchAug 8CRITCVE-2025-30405ExecuTorch: integer overflow in model load → RCE9.80.6%executorchAug 8CRITECVE-2025-53767Azure OpenAI: SSRF EoP, no auth required (CVSS 10)10.01.1%azure_openaiAug 7MEDIECVE-2025-44779Ollama: arbitrary file deletion via /api/pull6.60.2%ollamaAug 7MEDIECVE-2025-5197Transformers: ReDoS in TF-to-PyTorch weight converter5.30.4%transformersAug 6LOWECVE-2025-8556CIRCL FourQ: low-order point flaw weakens key exchange3.70.5%rhelai1/instructlab-amd-rhel9Aug 6CRITECVE-2025-45150ChatGLM-Webui: arbitrary file read, no auth required9.80.6%langchain-chatglm-webuiAug 1HIGHCVE-2025-7725WP Contest Gallery: Stored XSS exposes OpenAI API creds7.20.3%—Aug 1MEDIGHSA-r54c-2xmf-2cf3ms-swift: RCE via pickle deserialization in adapter models——ms-swiftJul 31CRITECVE-2025-54381BentoML: unauthenticated SSRF via file upload URLs9.913.2%bentomlJul 29CRITECVE-2025-46059LangChain GmailToolkit: indirect prompt injection to RCE9.80.8%—Jul 29CRITECVE-2025-5120smolagents: sandbox escape enables unauthenticated RCE10.031.2%smolagentsJul 27HIGHECVE-2025-54413skops: RCE via MethodNode unsafe deserialization—0.2%skopsJul 26HIGHECVE-2025-54412skops: OperatorFuncNode type confusion → RCE—0.2%skopsJul 26MEDICVE-2025-54558OpenAI Codex CLI: sandbox bypass via ripgrep flag abuse4.10.2%—Jul 25MEDICVE-2025-7780WordPress AI Engine: SSRF leaks files via OpenAI API6.50.6%—Jul 24MEDIECVE-2025-51471Ollama: auth token hijack via crafted WWW-Authenticate6.918.5%ollamaJul 22MEDIECVE-2025-51481Dagster: path traversal exposes arbitrary file read via gRPC6.60.6%—Jul 22Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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