CVE-2022-21728
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. 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.
EPSS 1.13% · 65.3th percentile
Risk Scores
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Bitnami | tensorflow | 2.6.0, 2.7.0, 0 |
| Bitnami | tensorflow | 0, 2.6.0, 2.7.0 |
Timeline
- Feb 3, 2022 CVE Published
- Feb 8, 2022 EPSS Score
- Apr 2, 2022 EPSS Score
- Jul 18, 2022 EPSS Score
- Sep 9, 2022 EPSS Score
- Nov 1, 2022 EPSS Score
- Dec 24, 2022 EPSS Score
- Mar 7, 2023 EPSS Score
- Apr 9, 2023 EPSS Score
- Jun 1, 2023 EPSS Score
- Jul 24, 2023 EPSS Score
- Nov 7, 2023 EPSS Score
References
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.h#L415-L428 url
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L1636-L1671 url
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6gmv-pjp9-p8w8 url
- https://nvd.nist.gov/vuln/detail/CVE-2022-21728 url
- https://github.com/tensorflow/tensorflow/commit/37c01fb5e25c3d80213060460196406c43d31995 fix