CVE-2022-23560: Read and Write outside of bounds in TensorFlow
(updated )
An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors.
References
- github.com/advisories/GHSA-4hvf-hxvg-f67v
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-69.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-124.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc
- github.com/tensorflow/tensorflow/commit/6364463d6f5b6254cac3d6aedf999b6a96225038
- github.com/tensorflow/tensorflow/security/advisories/GHSA-4hvf-hxvg-f67v
- nvd.nist.gov/vuln/detail/CVE-2022-23560
Code Behaviors & Features
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