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
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Latest AI Security Threats
Showing 20 of 672 results — High severity, no patchPyTorch: DoS via sparse/dense tensor Inductor compile
CVE-2025-55560 TensorFlow: DoS via Conv2D valid padding crash
CVE-2025-55559 PyTorch: Inductor compiler buffer overflow causes DoS
CVE-2025-55558 PyTorch: DoS via cummin+Inductor NameError in 2.7.0
CVE-2025-55557 PyTorch 2.7.0: DoS via proxy_tensor.py syntax error
CVE-2025-55553 PyTorch: integer overflow in rot90+randn_like causes DoS
CVE-2025-55552 PyTorch: DoS in linalg.lu via malformed slice op
CVE-2025-55551 Transformers: ReDoS in optimizer halts training pipelines
CVE-2025-6921 Flowise: unauthenticated SSRF exposes internal network
CVE-2025-59527 Keras: safe_mode bypass enables RCE via model load
CVE-2025-9906 Keras: safe_mode bypass enables RCE via .h5 model files
CVE-2025-9905 picklescan: file extension bypass allows model RCE
CVE-2025-10155 HuggingFace Transformers: ReDoS in MarianTokenizer
CVE-2025-6638 n8n: unrestricted file upload RCE via Chat Trigger
CVE-2025-56265 Langflow: privilege escalation to full superuser via CLI
CVE-2025-57760 vLLM: unauthenticated DoS via oversized HTTP header
CVE-2025-48956 Merlin Transformers4Rec: code injection via Python dep
CVE-2025-23298 Keras: safe mode bypass enables RCE via model load
CVE-2025-8747 WP Contest Gallery: Stored XSS exposes OpenAI API creds
CVE-2025-7725 lollms: timing attack enables credential enumeration
CVE-2025-6386 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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