Vulnerability · Published Feb 3, 2022 · Assigned by GitHub_M
CVE-2022-21728Out of bounds read in Tensorflow
High 8.1
In plain English
A high-severity out-of-bounds read in the tensorflow package (PyPI). Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 1.1% (higher than 67% of all known vulnerabilities). Ready-made attack tooling exists: public proof-of-concept code. Fixed versions are available - upgrade the affected package.
Official description
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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.5.3 | GHSA-6gmv-pjp9-p8w8 |
| PyPI | tensorflow | 2.6.3 | GHSA-6gmv-pjp9-p8w8 |
| PyPI | tensorflow | 2.7.1 | GHSA-6gmv-pjp9-p8w8 |
| PyPI | tensorflow | 2.5.3, 2.6.3, 2.7.1 | PYSEC-2026-3121 |
| PyPI | tensorflow-cpu | 2.6.3 | GHSA-6gmv-pjp9-p8w8 |
| PyPI | tensorflow-cpu | 2.7.1 | GHSA-6gmv-pjp9-p8w8 |
| PyPI | tensorflow-cpu | 2.5.3, 2.6.3 | PYSEC-2022-52 |
| PyPI | tensorflow-cpu | 2.5.3 | GHSA-6gmv-pjp9-p8w8 |
| PyPI | tensorflow-gpu | 2.7.1 | GHSA-6gmv-pjp9-p8w8 |
| PyPI | tensorflow-gpu | 2.5.3, 2.6.3 | PYSEC-2022-107 |
| PyPI | tensorflow-gpu | 2.5.3 | GHSA-6gmv-pjp9-p8w8 |
| PyPI | tensorflow-gpu | 2.6.3 | GHSA-6gmv-pjp9-p8w8 |
Affected products (as reported)
Weakness: CWE-125 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6gmv-pjp9-p8w8 x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/37c01fb5e25c3d80213060460196406c43d31995 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.h#L415-L428 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L1636-L1671 x_refsource_MISC