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 2388 results CVE-2025-1550 Keras: safe_mode bypass enables RCE via model loading 9.8 2.8% keras Mar 11 LOW E CVE-2025-2149 PyTorch: improper init in quantized sigmoid skews model output 2.5 0.2% torch Mar 10 HIGH E CVE-2025-2148 PyTorch: memory corruption in JIT profiler callback handler 7.5 0.4% torch Mar 10 CRIT E CVE-2025-1945 picklescan: ZIP flag bypass enables RCE in PyTorch models 9.8 0.5% picklescan Mar 10 MEDI E CVE-2025-1944 picklescan: ZIP spoof lets malicious PyTorch models bypass scan 6.5 0.3% picklescan Mar 10 MEDI CVE-2025-1979 Ray: Redis password exposed via plaintext logging 6.4 0.2% ray Mar 6 CRIT E CVE-2025-25362 spacy-llm: SSTI allows unauthenticated RCE (CVSS 9.8) 9.8 0.7% spacy-llm Mar 5 CRIT CVE-2024-13147 B2B Login Panel: SQLi enables unauthenticated DB access 9.8 0.4% B2B Login Panel Mar 5 LOW CVE-2025-1953 vLLM AIBrix: weak hash in prefix cache leaks inference patterns 2.6 0.3% — Mar 4 MEDI E CVE-2025-1716 picklescan: scanner bypass enables supply chain RCE — 1.5% picklescan Mar 3 MEDI E CVE-2025-1889 picklescan: extension bypass enables RCE on model load — 0.4% picklescan Mar 3 HIGH E CVE-2025-25185 gpt_academic: symlink traversal exposes all server files 7.5 0.6% gpt_academic Mar 3 CRIT CVE-2023-25574 JupyterHub LTI13: JWT forgery enables full auth bypass 10.0 0.3% jupyterhub-ltiauthenticator Feb 25 HIGH CVE-2025-25297 Label Studio: SSRF via S3 endpoint exposes internal services 8.6 0.5% label-studio Feb 14 MEDI E CVE-2025-25296 Label Studio: reflected XSS via label_config param 6.1 1.8% label-studio Feb 14 HIGH E CVE-2025-25295 Label Studio SDK: path traversal leaks server filesystem — 0.7% label-studio-sdk Feb 14 CRIT CVE-2024-13152 Mobuy Panel: SQLi allows unauthenticated DB takeover 10.0 0.5% Mobuy Online Machinery Monitoring Panel Feb 14 CRIT CVE-2024-12366 PandasAI: prompt injection enables unauthenticated RCE 9.8 1.2% — Feb 11 MEDI CVE-2024-11831 serialize-javascript: XSS via regex in AI/ML dashboards 5.4 1.0% odh-kf-notebook-controller-rhel8 Feb 10 LOW CVE-2025-25183 vLLM: hash collision enables prefix cache poisoning 2.6 0.2% vllm Feb 7 Frequently 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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