AI Threat Alert
AI Threat Alert tracks 432 known AI/ML vulnerabilities affecting Google products — each enriched with CVSS severity, EPSS exploit probability, patch status, and CISO-grade analysis. Browse every Google CVE below, sorted by severity and recency.
| Severity | CVE | Headline | Package | CVSS |
|---|---|---|---|---|
| HIGH | CVE-2022-35970 | TensorFlow: DoS via malformed QuantizedInstanceNorm tensors | tensorflow | 7.5 |
| HIGH | CVE-2022-35971 | TensorFlow: DoS via invalid quantization tensor rank | tensorflow | 7.5 |
| HIGH | CVE-2022-35972 | TensorFlow: DoS via QuantizedBiasAdd rank validation | tensorflow | 7.5 |
| HIGH | CVE-2022-35973 | TensorFlow: DoS via QuantizedMatMul input validation | tensorflow | 7.5 |
| HIGH | CVE-2022-35974 | TensorFlow: DoS via nonscalar quantization op input | tensorflow | 7.5 |
| HIGH | CVE-2022-35979 | TensorFlow: DoS via nonscalar input in QuantizedRelu | tensorflow | 7.5 |
| HIGH | CVE-2022-35981 | TensorFlow: DoS via FractionalMaxPoolGrad assertion | tensorflow | 7.5 |
| HIGH | CVE-2022-35982 | TensorFlow: DoS via invalid SparseBincount input | tensorflow | 7.5 |
| HIGH | CVE-2022-35983 | TensorFlow: DoS via Save/SaveSlices dtype CHECK fail | tensorflow | 7.5 |
| HIGH | CVE-2022-35984 | TensorFlow: int64 type mismatch triggers remote DoS | tensorflow | 7.5 |
| HIGH | CVE-2022-35985 | TensorFlow: DoS via malformed LRNGrad tensor input | tensorflow | 7.5 |
| HIGH | CVE-2022-35986 | TensorFlow: RaggedBincount DoS crashes inference server | tensorflow | 7.5 |
| HIGH | CVE-2022-35987 | TensorFlow: DoS via DenseBincount shape mismatch | tensorflow | 7.5 |
| HIGH | CVE-2022-35988 | TensorFlow: GPU DoS via empty input to matrix_rank op | tensorflow | 7.5 |
| HIGH | CVE-2022-35989 | TensorFlow: MaxPool GPU kernel DoS via oversized ksize | tensorflow | 7.5 |
| HIGH | CVE-2022-35990 | TensorFlow: DoS via quantization gradient rank check | tensorflow | 7.5 |
| HIGH | CVE-2022-36018 | TensorFlow: RaggedTensor CHECK fail remote DoS | tensorflow | 7.5 |
| HIGH | CVE-2022-36019 | TensorFlow: DoS via FakeQuant tensor rank mismatch | tensorflow | 7.5 |
| HIGH | CVE-2022-36026 | TensorFlow: DoS via QuantizeAndDequantizeV3 CHECK fail | tensorflow | 7.5 |
| HIGH | CVE-2022-35991 | TensorFlow: DoS via TensorListScatter CHECK fail | tensorflow | 7.5 |
Frequently asked questions
How many known vulnerabilities affect Google?
432 AI/ML CVEs affecting Google products are tracked, sourced from NVD and GitHub Advisory.
What Google products are affected?
The CVEs below map to the Google AI/ML packages and tools tracked by AI Threat Alert; open any CVE to see the affected components and versions.
Where does the Google vulnerability data come from?
Data is sourced from NVD and GitHub Advisory, then enriched with CVSS severity, EPSS exploit probability, and patch status for each CVE.
How can I monitor Google for new vulnerabilities?
AI Threat Alert tracks Google continuously; a Pro subscription adds breaking alerts when new CVEs affecting Google are published.
How do I assess Google's security exposure?
Each CVE below carries CVSS severity and exploitation signals, so you can review the highest-severity Google issues first and judge the exposure for your stack.