CVE-2022-21736
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseTensorSliceDataset` has an undefined behavior: under certain condition it can be made to dereference a `nullptr` value. The 3 input arguments to `SparseTensorSliceDataset` represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. 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 | <965b97e4a9650495cda5a8c210ef6684b4b9eceb||>=2.6.0,<2.6.3 | 965b97e4a9650495cda5a8c210ef6684b4b9eceb |
| PyPI | tensorflow-cpu | <965b97e4a9650495cda5a8c210ef6684b4b9eceb||>=2.6.0,<2.6.3 | 965b97e4a9650495cda5a8c210ef6684b4b9eceb |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pfjj-m3jj-9jc9
- https://nvd.nist.gov/vuln/detail/CVE-2022-21736
- https://github.com/tensorflow/tensorflow/commit/965b97e4a9650495cda5a8c210ef6684b4b9eceb
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-60.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-115.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L227-L292
- https://security-tracker.debian.org/tracker/CVE-2022-21736
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.