AI Threat AlertAI 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 4307 resultsTensorFlow: heap overflow in ragged tensor ops
CVE-2020-15201TensorFlow: heap overflow in RaggedCountSparseOutput DoS
CVE-2020-15200TensorFlow: DoS via malformed ragged tensor input
CVE-2020-15199TensorFlow: heap OOB in SparseCountSparseOutput ops
CVE-2020-15198TensorFlow: DoS via malformed sparse tensor input
CVE-2020-15197TensorFlow: heap OOB read in sparse/ragged count ops
CVE-2020-15196TensorFlow: heap overflow in sparse gradient op
CVE-2020-15195TensorFlow: DoS via SparseFillEmptyRowsGrad assertion
CVE-2020-15194TensorFlow: uninitialized memory corruption via dlpack
CVE-2020-15193TensorFlow: memory leak in dlpack DoS via low-priv input
CVE-2020-15192TensorFlow: null ptr deref in dlpack causes remote DoS
CVE-2020-15191TensorFlow: null ptr deref DoS via Switch op eager runtime
CVE-2020-15190Sourcecodester LMS: broken access control in admin panel
CVE-2020-25514VS Code Python ext: RCE via malicious notebook file
CVE-2020-1192scikit-learn: RCE via malicious joblib model deserialization
CVE-2020-13092TensorFlow: integer overflow leaks process memory via BMP
CVE-2018-21233TensorFlow: type confusion DoS crashes eager mode inference
CVE-2020-5215TensorFlow: heap overflow in UnsortedSegmentSum op
CVE-2019-16778Jupyter Notebook: XSS via missing CSP on served files
CVE-2018-21030SIMATIC WinCC: TLS key disclosure enables traffic decryption
CVE-2019-6576Frequently 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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