Crash in `tf.strings.substr` due to `CHECK`-fail
Impact
An attacker can cause a denial of service via CHECK-fail in tf.strings.substr with invalid arguments:
```python
import tensorflow as tf
tf.strings.substr(input='abc', len=1, pos=[1,-1])
`
```python
import tensorflow as tf
tf.strings.substr(input='abc', len=1, pos=[1,2])
`
Patches
We have received a patch for the issue in GitHub commit [890f7164b70354c57d40eda52dcdd7658677c09f](https://github.com/tensorflow/tensorflow/commit/890f7164b70354c57d40eda52dcdd7658677c09f).
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 in [#46900](https://github.com/tensorflow/issues/46900) and fixed in [#46974](https://github.com/tensorflow/issues/46974).
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| tensorflow PyPI | < 2.1.4 | 2.1.4 |
| >= 2.2.0, < 2.2.3 | 2.2.3 | |
| >= 2.3.0, < 2.3.3 | 2.3.3 | |
| >= 2.4.0, < 2.4.2 | 2.4.2 |
Details and references
- CVSS 3.1
- CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-755
- Also known as
- BIT-tensorflow-2021-29617, CVE-2021-29617, PYSEC-2021-254, PYSEC-2021-545, PYSEC-2021-743
- github.com/tensorflow/tensorflow/security/advisories/GHSA-mmq6-q8r3-48fm
- nvd.nist.gov/vuln/detail/CVE-2021-29617
- github.com/tensorflow/tensorflow/commit/890f7164b70354c57d40eda52dcdd7658677c09f
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-545.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-743.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-254.yaml
- github.com/tensorflow/issues/46900
- github.com/tensorflow/issues/46974
- github.com/tensorflow/tensorflow