Crash in `tf.transpose` with complex inputs
Low2.5CVE-2021-29618 · Published May 21, 2021 · updated Sep 10, 2026
### Impact Passing a complex argument to `tf.transpose` at the same time as passing `conjugate=True` argument results in a crash: ```python import tensorflow as tf tf.transpose(conjugate=True, a=complex(1)) ``` ### Patches We have received a patch for the issue in GitHub commit [1dc6a7ce6e0b3e27a7ae650bfc05b195ca793f88](https://github.com/tensorflow/tensorflow/commit/1dc6a7ce6e0b3e27a7ae650bfc05b195ca793f88). 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 [#42105](https://github.com/tensorflow/issues/42105) and fixed in [#46973](https://github.com/tensorflow/issues/46973).
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-2021-29618, CVE-2021-29618, PYSEC-2021-255, PYSEC-2021-546, PYSEC-2021-744
- github.com/tensorflow/tensorflow/security/advisories/GHSA-xqfj-cr6q-pc8w
- nvd.nist.gov/vuln/detail/CVE-2021-29618
- github.com/tensorflow/tensorflow/commit/1dc6a7ce6e0b3e27a7ae650bfc05b195ca793f88
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-546.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-744.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-255.yaml
- github.com/tensorflow/issues/42105
- github.com/tensorflow/issues/46973
- github.com/tensorflow/tensorflow
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