CVE-2021-29515: Reference binding to null pointer in `MatrixDiag*` ops
First published: Fri May 14 2021(Updated: )
### Impact The implementation of [`MatrixDiag*` operations](https://github.com/tensorflow/tensorflow/blob/4c4f420e68f1cfaf8f4b6e8e3eb857e9e4c3ff33/tensorflow/core/kernels/linalg/matrix_diag_op.cc#L195-L197) does not validate that the tensor arguments are non-empty: ```cc num_rows = context->input(2).flat<int32>()(0); num_cols = context->input(3).flat<int32>()(0); padding_value = context->input(4).flat<T>()(0); ``` Thus, users can trigger null pointer dereferences if any of the above tensors are null: ```python import tensorflow as tf d = tf.convert_to_tensor([],dtype=tf.float32) p = tf.convert_to_tensor([],dtype=tf.float32) tf.raw_ops.MatrixDiagV2(diagonal=d, k=0, num_rows=0, num_cols=0, padding_value=p) ``` Changing from `tf.raw_ops.MatrixDiagV2` to `tf.raw_ops.MatrixDiagV3` still reproduces the issue. ### Patches We have patched the issue in GitHub commit [a7116dd3913c4a4afd2a3a938573aa7c785fdfc6](https://github.com/tensorflow/tensorflow/commit/a7116dd3913c4a4afd2a3a938573aa7c785fdfc6). The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Ye Zhang and Yakun Zhang of Baidu X-Team.
Credit: security-advisories@github.com security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| Google TensorFlow | <2.1.4 | |
| Google TensorFlow | >=2.2.0<2.2.3 | |
| Google TensorFlow | >=2.3.0<2.3.3 | |
| Google TensorFlow | >=2.4.0<2.4.2 | |
| pip/tensorflow-gpu | >=2.4.0<2.4.2 | 2.4.2 |
| pip/tensorflow-gpu | >=2.3.0<2.3.3 | 2.3.3 |
| pip/tensorflow-gpu | >=2.2.0<2.2.3 | 2.2.3 |
| pip/tensorflow-gpu | <2.1.4 | 2.1.4 |
| pip/tensorflow-cpu | >=2.4.0<2.4.2 | 2.4.2 |
| pip/tensorflow-cpu | >=2.3.0<2.3.3 | 2.3.3 |
| pip/tensorflow-cpu | >=2.2.0<2.2.3 | 2.2.3 |
| pip/tensorflow-cpu | <2.1.4 | 2.1.4 |
| pip/tensorflow | >=2.4.0<2.4.2 | 2.4.2 |
| pip/tensorflow | >=2.3.0<2.3.3 | 2.3.3 |
| pip/tensorflow | >=2.2.0<2.2.3 | 2.2.3 |
| pip/tensorflow | <2.1.4 | 2.1.4 |
Never miss a vulnerability like this again
Sign up to SecAlerts for real-time vulnerability data matched to your software, aggregated from hundreds of sources.
Reference Links
- https://github.com/tensorflow/tensorflow/commit/a7116dd3913c4a4afd2a3a938573aa7c785fdfc6
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hc6c-75p4-hmq4
- https://nvd.nist.gov/vuln/detail/CVE-2021-29515
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-443.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-641.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-152.yaml
- https://github.com/advisories/GHSA-hc6c-75p4-hmq4 (Advisory)
- collector/nvd-index
- agent/type
- agent/remedy
- collector/mitre-cve
- source/MITRE
- agent/weakness
- agent/title
- agent/severity
- agent/first-publish-date
- collector/github-advisory-latest
- source/GitHub
- alias/GHSA-hc6c-75p4-hmq4
- alias/CVE-2021-29515
- agent/software-canonical-lookup
- agent/last-modified-date
- agent/references
- agent/softwarecombine
- agent/description
- agent/event
- collector/nvd-cve
- source/NVD
- agent/author
- collector/github-advisory
- agent/tags
- agent/trending
- vendor/google
- canonical/google tensorflow
- version/google tensorflow/2.2.0
- version/google tensorflow/2.3.0
- version/google tensorflow/2.4.0
- package-manager/pip