CVE-2022-35966
unknown
CVSS v3
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CVSS v2
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VIR risk
—
Description
TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. 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.
Predictions
Exploit likelihood
30%
Patch ETA
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Heuristic predictions, AS-IS, for prioritization only.
Mitigations
Vendor advisory: debian — https://security-tracker.debian.org/tracker/CVE-2022-35966
OS impact
| OS | Version | Status | Fixed in |
|---|---|---|---|
| debian | forky | fixed | 0 |
| debian | sid | fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | tensorflow | >=2.8.0,<2.8.1 | 2.8.1 |
| PyPI | tensorflow | >=2.9.0,<2.9.1 | 2.9.1 |
| PyPI | tensorflow | <2.7.2 | 2.7.2 |
| PyPI | tensorflow-cpu | <2.7.2 | 2.7.2 |
| PyPI | tensorflow-cpu | >=2.8.0,<2.8.1 | 2.8.1 |
| PyPI | tensorflow-cpu | >=2.9.0,<2.9.1 | 2.9.1 |
| PyPI | tensorflow-gpu | <2.7.2 | 2.7.2 |
| PyPI | tensorflow-gpu | >=2.8.0,<2.8.1 | 2.8.1 |
| PyPI | tensorflow-gpu | >=2.9.0,<2.9.1 | 2.9.1 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4w68-4x85-mjj9
- https://nvd.nist.gov/vuln/detail/CVE-2022-35966
- https://github.com/tensorflow/tensorflow/commit/7cdf9d4d2083b739ec81cfdace546b0c99f50622
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- https://security-tracker.debian.org/tracker/CVE-2022-35966
Verify integrity in audit chain (admin only). AS-IS.