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
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 1024 results — High severityopen-webui: Code Injection enables RCE
CVE-2025-64496 Open WebUI: XSS-to-RCE via malicious prompt injection
CVE-2025-64495 langgraph-checkpoint: Deserialization enables RCE
CVE-2025-64439 n8n: security flaw enables exploitation
CVE-2025-62726 langgraph-checkpoint-sqlite: SQL Injection exposes database
CVE-2025-64104 langgraph-checkpoint-sqlite: SQL Injection exposes database
CVE-2025-8709 Flowise v3.0.1 < 3.0.8 and all versions after with 'ALLOW_BUILTIN_DEP' enabled contain an authenticated remote code execution vulnerability and node VM sandbox...
CVE-2025-34267 llama-index: world-writable NLTK dir allows local tampering
CVE-2025-7707 vLLM: SSRF in media loader exposes internal network
CVE-2025-6242 LLaMA-Factory: SSRF+LFI in multimodal chat API
CVE-2025-61784 vLLM: timing attack enables API key bypass
CVE-2025-59425 langchain-text-splitters: XXE enables arbitrary file read
CVE-2025-6985 Flowise: unrestricted file upload enables persistent RCE
CVE-2025-61687 Netsis Panel: unauthenticated SQLi enables data exfiltration
CVE-2025-0616 llama-index-core: insecure /tmp dir, model theft risk
CVE-2025-7647 PyTorch: 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 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
Start 14-Day Free Trial