CVE-2022-29211
CVE.org · Published
- Record status
- Published
- Identifier year (not publication year)
- 2022
- Source publication
- Source updated
- Imported by cveboard
- Source snapshot
- cve_2026-10-24_midnight_baseline ·
CNA source text (English)
Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Scoped product and version facts
Fix information unknown; no fixed version is derived here. Missing information does not prove that no fix exists.
Exploitation unknown; this catalogue does not assess exploitation.
tensorflow
- Vendor
- tensorflow
- Product
- tensorflow
- Platforms
- Unknown
- Default status
Unknown
| Version (version) | Status (status) | Version scheme (versionType) | Exclusive end (lessThan) | Inclusive end (lessThanOrEqual) | Status changes (at → status) |
|---|---|---|---|---|---|
| < 2.6.4 | affected | Unavailable | Unavailable | Unavailable | None listed |
| >= 2.7.0rc0, < 2.7.2 | affected | Unavailable | Unavailable | Unavailable | None listed |
| >= 2.8.0rc0, < 2.8.1 | affected | Unavailable | Unavailable | Unavailable | None listed |
| >= 2.9.0rc0, < 2.9.0 | affected | Unavailable | Unavailable | Unavailable | None listed |