tensorflow-gpu vulnerabilities

Browse known CVEs and advisories by package and ecosystem. Severity tells you the worst case. What determines real risk is whether the vulnerable code actually runs in your applications.

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CVE-IDSeverityPackage summary

CVE-2021-29522Lowtensorflow: Division by 0 in `Conv3DBackprop*`CVE-2021-29521Lowtensorflow: Segfault in SparseCountSparseOutput CVE-2021-29520Lowtensorflow: Heap buffer overflow in `Conv3DBackprop*`CVE-2021-29519Lowtensorflow: CHECK-fail in SparseCross due to type confusion CVE-2021-29518Lowtensorflow: Session operations in eager mode lead to null pointer dereferences CVE-2021-29517Lowtensorflow: Division by zero in `Conv3D`CVE-2021-29516Lowtensorflow: Null pointer dereference via invalid Ragged Tensors CVE-2021-29515Lowtensorflow: Reference binding to null pointer in `MatrixDiag*` ops CVE-2021-29514Lowtensorflow: Heap out of bounds write in `RaggedBinCount`CVE-2021-29513Lowtensorflow: Type confusion during tensor casts lead to dereferencing null pointers CVE-2021-29512Lowtensorflow: Heap buffer overflow in `RaggedBinCount`CVE-2020-26271Mediumtensorflow: Heap out of bounds access in MakeEdge in TensorFlow CVE-2020-26270Mediumtensorflow: CHECK-fail in LSTM with zero-length input in TensorFlow CVE-2020-26268Mediumtensorflow: Write to immutable memory region in TensorFlow CVE-2020-26267Lowtensorflow: Lack of validation in data format attributes in TensorFlow CVE-2020-26266Mediumtensorflow: Uninitialized memory access in TensorFlow CVE-2020-15266Mediumtensorflow: Float cast overflow undefined behavior CVE-2020-15265Hightensorflow: Segfault in `tf.quantization.quantize_and_dequantize`CVE-2020-15212Criticaltensorflow: Out of bounds access in tensorflow-lite CVE-2020-15214Criticaltensorflow: Out of bounds write in tensorflow-lite CVE-2020-15213Mediumtensorflow: Denial of service in tensorflow-lite CVE-2020-15210Hightensorflow: Segmentation fault in tensorflow-lite CVE-2020-15211Mediumtensorflow: Out of bounds access in tensorflow-lite CVE-2020-15209Hightensorflow: Null pointer dereference in tensorflow-lite CVE-2020-15208Hightensorflow: Data corruption in tensorflow-lite

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