CVE-2022-35969
5.9
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Summary
TensorFlow is an open source platform for machine learning. The implementation of Conv2DBackpropInput requires input_sizes to be 4-dimensional. Otherwise, it gives a CHECK failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Affected Software
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| tensorflow | tensorflow | < 2.7.2 | affected |
| tensorflow | tensorflow | >= 2.8.0, < 2.8.1 | affected |
| tensorflow | tensorflow | >= 2.9.0, < 2.9.1 | affected |
Weaknesses
- CWE-617: CWE-617: Reachable Assertion
ADP Enrichment
CVE Program Container
Additional References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx
- https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c
CISA ADP Vulnrichment
- SSVC:
- Exploitation: none
- Automatable: no
- Technical Impact: partial
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx
- https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c
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