Heap out of bounds read in filesystem glob matching in TensorFlow
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Fix
- Fixed in 2.4.0
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
Summary
In TensorFlow release candidate versions 2.4.0rc*, the general implementation for matching filesystem paths to globbing pattern is vulnerable to an access out of bounds of the array holding the directories. There are multiple invariants and preconditions that are assumed by the parallel implementation of GetMatchingPaths but are not verified by the PRs introducing it (#40861 and #44310). Thus, we are completely rewriting the implementation to fully specify and validate these. This is patched in version 2.4.0. This issue only impacts master branch and the release candidates for TF version 2.4. The final release of the 2.4 release will be patched.
Timeline
- CVE published
- Record last updated
Affected versions
- tensorflow tensorflow
Version range not reported
- tensorflow-gpuPyPI
From 2.4.0rc0 · fixed in 2.4.0
- tensorflowPyPI
From 2.4.0rc0 · fixed in 2.4.0
- tensorflow-cpuPyPI
From 2.4.0rc0 · fixed in 2.4.0
- tensorflowPyPI
From 2.4.0rc0 · fixed in 2.4.0