CVE-2021-29546
Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in `tf.raw_ops.QuantizedBiasAdd`. This is because the implementation of the Eigen kernel(https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero. 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.
Predictions
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
Vendor advisory: debian — https://security-tracker.debian.org/tracker/CVE-2021-29546
OS impact
| OS | Version | Status | Fixed in |
|---|---|---|---|
| arch | fixed | 2.5.0-1 | |
| debian | forky | fixed | 0 |
| debian | sid | fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | tensorflow | <2.1.4 | 2.1.4 |
| PyPI | tensorflow | >=2.2.0,<2.2.3 | 2.2.3 |
| PyPI | tensorflow | >=2.3.0,<2.3.3 | 2.3.3 |
| PyPI | tensorflow | >=2.4.0,<2.4.2 | 2.4.2 |
| PyPI | tensorflow-cpu | <2.1.4 | 2.1.4 |
| PyPI | tensorflow-cpu | >=2.2.0,<2.2.3 | 2.2.3 |
| PyPI | tensorflow-cpu | >=2.3.0,<2.3.3 | 2.3.3 |
| PyPI | tensorflow-cpu | >=2.4.0,<2.4.2 | 2.4.2 |
| PyPI | tensorflow-gpu | <2.1.4 | 2.1.4 |
| PyPI | tensorflow-gpu | >=2.2.0,<2.2.3 | 2.2.3 |
| PyPI | tensorflow-gpu | >=2.3.0,<2.3.3 | 2.3.3 |
| PyPI | tensorflow-gpu | >=2.4.0,<2.4.2 | 2.4.2 |
| PyPI | tensorflow | <67784700869470d65d5f2ef20aeb5e97c31673cb||>=2.4.0,<2.4.3 | 67784700869470d65d5f2ef20aeb5e97c31673cb |
| PyPI | tensorflow-cpu | <67784700869470d65d5f2ef20aeb5e97c31673cb||>=2.4.0,<2.4.3 | 67784700869470d65d5f2ef20aeb5e97c31673cb |
| PyPI | tensorflow-gpu | <67784700869470d65d5f2ef20aeb5e97c31673cb||>=2.4.0,<2.4.3 | 67784700869470d65d5f2ef20aeb5e97c31673cb |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m34j-p8rj-wjxq
- https://nvd.nist.gov/vuln/detail/CVE-2021-29546
- https://github.com/tensorflow/tensorflow/commit/67784700869470d65d5f2ef20aeb5e97c31673cb
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-474.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-672.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-183.yaml
- https://security-tracker.debian.org/tracker/CVE-2021-29546
Verify integrity in audit chain (admin only). AS-IS.