CVE-2022-21737
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Predictions
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
No mitigations published for this CVE yet.
The vendor-content worker queues fetches as references arrive (check back in a few minutes). Or — if you've already worked around this in production — publish your fix to the community-verified tier.
✚ Propose a mitigation on Community → Mitigations published via the community go through AI scoring + 2 human reviewers + 7-day silent objection window before landing here withsource_tier=community-verified.
OS impact
Debian Fixed 2 releases
| Version | Status | Fixed in |
|---|---|---|
| sid | Fixed | 0 |
| forky | Fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | tensorflow | <2.5.3 | 2.5.3 |
| PyPI | tensorflow | >=2.6.0,<2.6.3 | 2.6.3 |
| PyPI | tensorflow | >=2.7.0,<2.7.1 | 2.7.1 |
| PyPI | tensorflow-cpu | <2.5.3 | 2.5.3 |
| PyPI | tensorflow-cpu | >=2.6.0,<2.6.3 | 2.6.3 |
| PyPI | tensorflow-cpu | >=2.7.0,<2.7.1 | 2.7.1 |
| PyPI | tensorflow-gpu | <2.5.3 | 2.5.3 |
| PyPI | tensorflow-gpu | >=2.6.0,<2.6.3 | 2.6.3 |
| PyPI | tensorflow-gpu | >=2.7.0,<2.7.1 | 2.7.1 |
| PyPI | tensorflow-gpu | <7019ce4f68925fd01cdafde26f8d8c938f47e6f9||>=2.6.0,<2.6.3 | 7019ce4f68925fd01cdafde26f8d8c938f47e6f9 |
| PyPI | tensorflow-cpu | <7019ce4f68925fd01cdafde26f8d8c938f47e6f9||>=2.6.0,<2.6.3 | 7019ce4f68925fd01cdafde26f8d8c938f47e6f9 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2vv-v9cg-qhh7
- https://nvd.nist.gov/vuln/detail/CVE-2022-21737
- https://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-61.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-116.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc
- https://security-tracker.debian.org/tracker/CVE-2022-21737
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.