CVE-2018-21233: Out-of-bounds read in TensorFlow possibly causing disclosure of the contents of process memory.
(updated )
TensorFlow before 1.7.0 has an integer overflow that causes an out-of-bounds read, possibly causing disclosure of the contents of process memory. This occurs in the DecodeBmp feature of the BMP decoder in core/kernels/decode_bmp_op.cc.
References
- github.com/advisories/GHSA-h98h-8mxr-m8gx
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-269.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-304.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-253.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-001.md
- github.com/tensorflow/tensorflow/commit/49f73c55d56edffebde4bca4a407ad69c1cae433
- nvd.nist.gov/vuln/detail/CVE-2018-21233
Code Behaviors & Features
Detect and mitigate CVE-2018-21233 with GitLab Dependency Scanning
Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Dependency Scanning using SBOM also detects vulnerabilities from proprietary advisories that this site does not include. Learn more about Dependency Scanning using SBOM →