CVE-2022-36026
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 QuantizeAndDequantizeV3 is given a nonscalar num_bits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713. 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-9cr2-8pwr-fhfq
- https://github.com/tensorflow/tensorflow/commit/f3f9cb38ecfe5a8a703f2c4a8fead434ef291713
CISA ADP Vulnrichment
- SSVC:
- Exploitation: none
- Automatable: no
- Technical Impact: partial
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9cr2-8pwr-fhfq
- https://github.com/tensorflow/tensorflow/commit/f3f9cb38ecfe5a8a703f2c4a8fead434ef291713
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