CVE-2022-35960
Last modified
CVE-2022-35960 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. EPSS estimates a 0.52% chance of exploitation in the next 30 days.
Description
TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`. We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7. 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.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions | Update |
|---|---|---|---|
| Tensorflow | >= 2.7.0, < 2.7.2 | — | |
| Tensorflow | 2.8.0 | — | |
| Tensorflow | 2.9.0 | — | |
| Tensorflow | 2.10 | Rc0 |
References
- https://github.com/tensorflow/tensorflow/commit/b5f6fbfba76576202b72119897561e3bd4f179c7Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v5xg-3q2c-c2r4Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/b5f6fbfba76576202b72119897561e3bd4f179c7Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v5xg-3q2c-c2r4Patch, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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