CVE-2022-21733
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. 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 | <f68fdab93fb7f4ddb4eb438c8fe052753c9413e8||>=2.6.0,<2.6.3 | f68fdab93fb7f4ddb4eb438c8fe052753c9413e8 |
| PyPI | tensorflow-cpu | <f68fdab93fb7f4ddb4eb438c8fe052753c9413e8||>=2.6.0,<2.6.3 | f68fdab93fb7f4ddb4eb438c8fe052753c9413e8 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98j8-c9q4-r38g
- https://nvd.nist.gov/vuln/detail/CVE-2022-21733
- https://github.com/tensorflow/tensorflow/commit/f68fdab93fb7f4ddb4eb438c8fe052753c9413e8
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-57.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-112.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/string_ngrams_op.cc#L29-L161
- https://security-tracker.debian.org/tracker/CVE-2022-21733
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.