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Latest CVEs affecting AI/ML systems, updated continuously. Tracked from NVD, GitHub Advisory, and CISA KEV.
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Showing 20 of 910 results — Active exploitationTensorFlow: CHECK-fail DoS in tf.sparse.cross op
CVE-2022-35997 TensorFlow: DoS via TensorListScatter CHECK fail
CVE-2022-35991 TensorFlow: DoS via QuantizeAndDequantizeV3 CHECK fail
CVE-2022-36026 TensorFlow: DoS via FakeQuant tensor rank mismatch
CVE-2022-36019 TensorFlow: RaggedTensor CHECK fail remote DoS
CVE-2022-36018 TensorFlow: DoS via quantization gradient rank check
CVE-2022-35990 TensorFlow: GPU DoS via empty input to matrix_rank op
CVE-2022-35988 TensorFlow: DoS via DenseBincount shape mismatch
CVE-2022-35987 TensorFlow: RaggedBincount DoS crashes inference server
CVE-2022-35986 TensorFlow: DoS via malformed LRNGrad tensor input
CVE-2022-35985 TensorFlow: int64 type mismatch triggers remote DoS
CVE-2022-35984 TensorFlow: DoS via Save/SaveSlices dtype CHECK fail
CVE-2022-35983 TensorFlow: DoS via invalid SparseBincount input
CVE-2022-35982 TensorFlow: DoS via FractionalMaxPoolGrad assertion
CVE-2022-35981 TensorFlow: DoS via nonscalar input in QuantizedRelu
CVE-2022-35979 TensorFlow: DoS via nonscalar quantization op input
CVE-2022-35974 TensorFlow: DoS via QuantizedMatMul input validation
CVE-2022-35973 TensorFlow: DoS via QuantizedBiasAdd rank validation
CVE-2022-35972 TensorFlow: DoS via invalid quantization tensor rank
CVE-2022-35971 TensorFlow: DoS via malformed QuantizedInstanceNorm tensors
CVE-2022-35970 Need deeper analysis?
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