CVE-2020-15265: Segfault in `tf.quantization.quantize_and_dequantize`
(updated )
An attacker can pass an invalid axis value to tf.quantization.quantize_and_dequantize:
tf.quantization.quantize_and_dequantize(
input=[2.5, 2.5], input_min=[0,0], input_max=[1,1], axis=10)
References
- github.com/advisories/GHSA-rrfp-j2mp-hq9c
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-295.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-330.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-138.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808
- github.com/tensorflow/tensorflow/issues/42105
- github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c
- nvd.nist.gov/vuln/detail/CVE-2020-15265
Code Behaviors & Features
Detect and mitigate CVE-2020-15265 with GitLab Dependency Scanning
Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →