CVE-2022-29205
Segfault due to missing support for quantized types in TensorFlow
- 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, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. 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)
- 0.33% · top 74% 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-54ch-gjq5-4976 (opens in a new tab)
- PyPItensorflow-cpuGHSA-54ch-gjq5-4976 (opens in a new tab)
- PyPItensorflow-gpuGHSA-54ch-gjq5-4976 (opens in a new tab)
References (8)
- 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-54ch-gjq5-4976 (opens in a new tab)x_refsource_CONFIRMx_transferred
- https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9 (opens in a new tab)x_refsource_MISCx_transferred
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320 (opens in a new tab)x_refsource_MISCx_transferred
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482 (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-54ch-gjq5-4976 (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-2022-29205)Record last updated .