CVE-2022-35979
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. If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for min_features or max_features, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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-20: CWE-20: Improper Input Validation
ADP Enrichment
CVE Program Container
Additional References
- https://github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d88659756d89
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v7vw-577f-vp8x
CISA ADP Vulnrichment
- SSVC:
- Exploitation: none
- Automatable: no
- Technical Impact: partial
References
- https://github.com/tensorflow/tensorflow/commit/49b3824d83af706df0ad07e4e677d88659756d89
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v7vw-577f-vp8x
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