CVE-2022-23595: Null pointer dereference in TensorFlow
(updated )
When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference:
string allowed_gpus =
flr->config_proto()->gpu_options().visible_device_list();
In the default scenario, all devices are allowed, so flr->config_proto is nullptr.
References
- github.com/advisories/GHSA-fpcp-9h7m-ffpx
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-103.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-158.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/jit/xla_platform_info.cc
- github.com/tensorflow/tensorflow/commit/e21af685e1828f7ca65038307df5cc06de4479e8
- github.com/tensorflow/tensorflow/security/advisories/GHSA-fpcp-9h7m-ffpx
- nvd.nist.gov/vuln/detail/CVE-2022-23595
Code Behaviors & Features
Detect and mitigate CVE-2022-23595 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 →