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Vulnerability archive 71,632
TensorFlow vulnerable to null dereference on MLIR on empty function attributes
TensorFlow vulnerable to `CHECK` fail in `DrawBoundingBoxes`
TensorFlow vulnerable to `CHECK` fail in `Unbatch`
TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`
TensorFlow vulnerable to null dereference on MLIR on empty function attributes
TensorFlow vulnerable to segfault in `Requantize`
TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`
TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`
TensorFlow vulnerable to `CHECK` fail in `AudioSummaryV2`
TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`
TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs`
TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`
TensorFlow vulnerable to integer overflow in math ops
TensorFlow vulnerable to assertion fail on MLIR empty edge names
TensorFlow vulnerable to `CHECK` fail in `DenseBincount`
TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
Parse Server vulnerable to brute force guessing of user sensitive data via search patterns
TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`
TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`
TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel`
TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions
XWiki Cross-Site Request Forgery (CSRF) for actions on tags
TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite
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With the DockRay integration and software inventory enabled, DockRay checks reported component versions against known vulnerabilities and notifies you about confirmed matches. Coverage depends on the supported technology and available advisory data.