Segfault in tf.raw_ops.ImmutableConst
Low2.5CVE-2021-29539 · Published May 21, 2021 · updated Jul 8, 2026
### Impact Calling [`tf.raw_ops.ImmutableConst`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/ImmutableConst) with a `dtype` of `tf.resource` or `tf.variant` results in a segfault in the implementation as code assumes that the tensor contents are pure scalars. ```python >>> import tensorflow as tf >>> tf.raw_ops.ImmutableConst(dtype=tf.resource, shape=[], memory_region_name="/tmp/test.txt") ... Segmentation fault ``` ### Patches We have patched the issue in 4f663d4b8f0bec1b48da6fa091a7d29609980fa4 and will release TensorFlow 2.5.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. ### Workarounds If using `tf.raw_ops.ImmutableConst` in code, you can prevent the segfault by inserting a filter for the `dtype` argument. ### 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.
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-681
- Also known as
- BIT-tensorflow-2021-29539, CVE-2021-29539, PYSEC-2021-176, PYSEC-2021-467, PYSEC-2021-665
- github.com/tensorflow/tensorflow/security/advisories/GHSA-g4h2-gqm3-c9wq
- nvd.nist.gov/vuln/detail/CVE-2021-29539
- github.com/tensorflow/tensorflow/commit/4f663d4b8f0bec1b48da6fa091a7d29609980fa4
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-467.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-665.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-176.yaml
- github.com/tensorflow/tensorflow
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