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
Critical
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Latest AI Security Threats
Showing 20 of 1961 results — Active exploitationCVE-2021-29554TensorFlow: divide-by-zero DoS in DenseCountSparseOutput5.50.2%tensorflowMay 14HIGHECVE-2021-29512TensorFlow: heap buffer overflow in RaggedBincount op7.80.2%tensorflowMay 14UNKNECVE-2020-35276EgavilanMedia ECM: SQLi bypasses admin login panel—1.6%—Dec 21HIGHECVE-2020-26269TensorFlow: OOB read in glob path matching causes DoS7.50.7%tensorflowDec 10MEDIECVE-2020-26268TensorFlow: ImmutableConst segfault crashes Python interpreter4.40.2%tensorflowDec 10HIGHECVE-2020-26267TensorFlow: OOB read in DataFormatVecPermute op7.80.2%tensorflowDec 10MEDIECVE-2020-26266TensorFlow: uninitialized memory read via crafted SavedModel5.30.3%tensorflowDec 10LOWECVE-2020-26271TensorFlow: OOB read on saved model load leaks heap addresses3.30.2%tensorflowDec 10HIGHECVE-2020-28975scikit-learn: DoS via crafted SVM model deserialization7.53.5%scikit-learnNov 21HIGHECVE-2020-15266TensorFlow: NaN-triggered DoS in crop_and_resize op7.50.9%tensorflowOct 21HIGHECVE-2020-15265TensorFlow: OOB read DoS via invalid quantize axis7.50.9%tensorflowOct 21HIGHECVE-2020-15214TensorFlow Lite: OOB write in segment sum, memory corruption risk8.10.7%tensorflowSep 25MEDIECVE-2020-15213TensorFlow Lite: OOM DoS via crafted segment sum model4.00.8%tensorflowSep 25HIGHECVE-2020-15212TensorFlow Lite: heap OOB write via segment sum op8.60.7%tensorflowSep 25MEDIECVE-2020-15211TensorFlow Lite: heap OOB RW via flatbuffer tensor index4.80.9%tensorflowSep 25MEDIECVE-2020-15210TensorFlow Lite: memory corruption via aliased tensors6.50.7%tensorflowSep 25MEDIECVE-2020-15209TensorFlow Lite: null ptr deref crashes model inference5.90.8%tensorflowSep 25CRITECVE-2020-15208TFLite: OOB read/write via tensor dimension mismatch9.80.9%tensorflowSep 25CRITECVE-2020-15207TFLite: OOB write via unchecked negative axis index9.01.2%tensorflowSep 25HIGHECVE-2020-15206TensorFlow: SavedModel protobuf DoS in inference serving7.51.0%tensorflowSep 25Frequently 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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