CVE-2022-29211
Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values
- Published
- Updated
- Reserved
- Assigned by
- GitHub_M
Description
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.
Scores
| Scored by | CVSS | Score | Vector |
|---|---|---|---|
| GitHub_MCNA (assigner) | 3.1 | Medium5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
| NVDNVD · Modified | 3.1 | Medium5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
- EPSS (exploitation in 30 days)
- 0.32% · top 75% of all CVEs (6 Nov 2026)
- CISA SSVC
- Exploitation: poc · Automatable: no · Technical impact: partial
The list uses the assigner's score when there is one, then CISA's, then NVD's: Medium 5.5.
Weakness
Affected products
- affected < 2.6.4
- affected >= 2.7.0rc0, < 2.7.2
- affected >= 2.8.0rc0, < 2.8.1
- affected >= 2.9.0rc0, < 2.9.0
Affected packages
From reviewed advisories of the GitHub Advisory Database.
- PyPItensorflowGHSA-xrp2-fhq4-4q3w (opens in a new tab)
- PyPItensorflow-cpuGHSA-xrp2-fhq4-4q3w (opens in a new tab)
- PyPItensorflow-gpuGHSA-xrp2-fhq4-4q3w (opens in a new tab)
References (9)
- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 (opens in a new tab)x_refsource_MISCx_transferred
- https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 (opens in a new tab)x_refsource_MISCx_transferred
- https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 (opens in a new tab)x_refsource_MISCx_transferred
- https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 (opens in a new tab)x_refsource_MISCx_transferred
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrp2-fhq4-4q3w (opens in a new tab)x_refsource_CONFIRMx_transferred
- https://github.com/tensorflow/tensorflow/issues/45770 (opens in a new tab)x_refsource_MISCx_transferred
- https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5 (opens in a new tab)x_refsource_MISCx_transferred
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc (opens in a new tab)x_refsource_MISCx_transferred
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/histogram_op.cc#L35-L74 (opens in a new tab)x_refsource_MISCx_transferred
Sources
The same CVE in the primary databases and aggregators, to check against.
- CVE.org record (opens in a new tab)
- CVE List JSON (GitHub) (opens in a new tab)
- NVD (opens in a new tab)
- FIRST EPSS (opens in a new tab)
- OSV.dev (opens in a new tab)
- GitHub Advisory GHSA-xrp2-fhq4-4q3w (opens in a new tab)
- CIRCL Vulnerability-Lookup (opens in a new tab)
Badge for a README or a ticket
[](https://trackcve.app/cve/CVE-2022-29211)Record last updated .