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.

Each CVE is enriched with
  • CVSS severity
  • EPSS exploit probability
  • Exploitation confidence
  • AI-component classification
  • Compliance mappings
2,404

AI/ML CVEs Tracked

347

Critical

310

New This Week

18

In CISA KEV

Latest AI Security Threats

Showing 20 of 1033 results — High severity
Severity CVE ID Summary CVSS EPSS Package Date
HIGH CVE-2025-0616 Netsis Panel: unauthenticated SQLi enables data exfiltration 8.2 0.3% B2B - Netsis Panel Oct 3 HIGH E CVE-2025-7647 llama-index-core: insecure /tmp dir, model theft risk 7.3 0.1% llama-index-core Sep 27 HIGH E CVE-2025-55560 PyTorch: DoS via sparse/dense tensor Inductor compile 7.5 0.4% pytorch Sep 25 HIGH E CVE-2025-55559 TensorFlow: DoS via Conv2D valid padding crash 7.5 0.2% tensorflow Sep 25 HIGH E CVE-2025-55558 PyTorch: Inductor compiler buffer overflow causes DoS 7.5 0.4% pytorch Sep 25 HIGH E CVE-2025-55557 PyTorch: DoS via cummin+Inductor NameError in 2.7.0 7.5 0.4% pytorch Sep 25 HIGH E CVE-2025-55553 PyTorch 2.7.0: DoS via proxy_tensor.py syntax error 7.5 0.4% pytorch Sep 25 HIGH E CVE-2025-55552 PyTorch: integer overflow in rot90+randn_like causes DoS 7.5 0.4% pytorch Sep 25 HIGH E CVE-2025-55551 PyTorch: DoS in linalg.lu via malformed slice op 7.5 0.4% pytorch Sep 25 HIGH CVE-2025-9900 A flaw was found in Libtiff. This vulnerability... 8.8 0.7% rhaiis/vllm-cuda-rhel9 Sep 23 HIGH E CVE-2025-6921 Transformers: ReDoS in optimizer halts training pipelines 7.5 0.5% transformers Sep 23 HIGH E CVE-2025-59527 Flowise: unauthenticated SSRF exposes internal network 7.5 4.6% flowise Sep 22 HIGH E CVE-2025-9906 Keras: safe_mode bypass enables RCE via model load 7.3 0.2% keras Sep 19 HIGH E CVE-2025-9905 Keras: safe_mode bypass enables RCE via .h5 model files 7.3 0.2% keras Sep 19 HIGH E CVE-2025-10155 picklescan: file extension bypass allows model RCE 7.8 0.8% picklescan Sep 17 HIGH E CVE-2025-6638 HuggingFace Transformers: ReDoS in MarianTokenizer 7.5 0.5% transformers Sep 12 HIGH E CVE-2025-10156 Picklescan: CRC bypass hides malicious pickle in ZIP 7.5 1.4% picklescan Sep 10 HIGH E CVE-2025-10157 PickleScan: subclass bypass enables malicious model RCE 8.3 0.8% picklescan Sep 10 HIGH E CVE-2025-58757 MONAI: unsafe pickle deserialization RCE in data pipeline 8.8 0.6% monai Sep 9 HIGH E CVE-2025-58756 MONAI: unsafe deserialization in CheckpointLoader allows RCE 8.8 0.7% monai Sep 9

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.

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