{"id":"CVE-2021-29539","aliases":["GHSA-g4h2-gqm3-c9wq","BIT-tensorflow-2021-29539","PYSEC-2021-176","PYSEC-2021-467","PYSEC-2021-665"],"title":"Segfault in tf.raw_ops.ImmutableConst","summary":"Segfault in tf.raw_ops.ImmutableConst","severity":"low","cvss":2.5,"cvssVector":"CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L","vendor":"tensorflow","product":"tensorflow","ecosystem":"pip","affected":["tensorflow < 2.1.4","tensorflow >= 2.2.0, < 2.2.3","tensorflow >= 2.3.0, < 2.3.3","tensorflow >= 2.4.0, < 2.4.2","tensorflow-cpu < 2.1.4","tensorflow-cpu >= 2.2.0, < 2.2.3","tensorflow-cpu >= 2.3.0, < 2.3.3","tensorflow-cpu >= 2.4.0, < 2.4.2","tensorflow-gpu < 2.1.4","tensorflow-gpu >= 2.2.0, < 2.2.3","tensorflow-gpu >= 2.3.0, < 2.3.3","tensorflow-gpu >= 2.4.0, < 2.4.2"],"patched":["tensorflow 2.1.4","tensorflow 2.2.3","tensorflow 2.3.3","tensorflow 2.4.2","tensorflow-cpu 2.1.4","tensorflow-cpu 2.2.3","tensorflow-cpu 2.3.3","tensorflow-cpu 2.4.2","tensorflow-gpu 2.1.4","tensorflow-gpu 2.2.3","tensorflow-gpu 2.3.3","tensorflow-gpu 2.4.2"],"published":"2021-05-21","updated":"2026-07-08","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-g4h2-gqm3-c9wq","references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g4h2-gqm3-c9wq"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2021-29539"},{"url":"https://github.com/tensorflow/tensorflow/commit/4f663d4b8f0bec1b48da6fa091a7d29609980fa4"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-467.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-665.yaml"},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-176.yaml"},{"url":"https://github.com/tensorflow/tensorflow"}],"tags":["osv","pip"],"epss":0.00189,"epssPercentile":0.08794,"ingestedAt":"2026-07-08T18:25:49.218Z","slug":"CVE-2021-29539","body":"## Overview\n\n### Impact\nCalling [`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.\n\n```python\n>>> import tensorflow as tf\n>>> tf.raw_ops.ImmutableConst(dtype=tf.resource, shape=[], memory_region_name=\"/tmp/test.txt\")\n...\nSegmentation fault\n```\n\n### Patches\nWe 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.\n\n### Workarounds\nIf using `tf.raw_ops.ImmutableConst` in code, you can prevent the segfault by inserting a filter for the `dtype` argument.\n\n### For more information\nPlease 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.\n\n## Affected packages\n\n- `tensorflow < 2.1.4`\n- `tensorflow >= 2.2.0, < 2.2.3`\n- `tensorflow >= 2.3.0, < 2.3.3`\n- `tensorflow >= 2.4.0, < 2.4.2`\n- `tensorflow-cpu < 2.1.4`\n- `tensorflow-cpu >= 2.2.0, < 2.2.3`\n- `tensorflow-cpu >= 2.3.0, < 2.3.3`\n- `tensorflow-cpu >= 2.4.0, < 2.4.2`\n- `tensorflow-gpu < 2.1.4`\n- `tensorflow-gpu >= 2.2.0, < 2.2.3`\n- `tensorflow-gpu >= 2.3.0, < 2.3.3`\n- `tensorflow-gpu >= 2.4.0, < 2.4.2`\n\n## Remediation\n\nUpgrade to a patched release:\n\n- `tensorflow 2.1.4`\n- `tensorflow 2.2.3`\n- `tensorflow 2.3.3`\n- `tensorflow 2.4.2`\n- `tensorflow-cpu 2.1.4`\n- `tensorflow-cpu 2.2.3`\n- `tensorflow-cpu 2.3.3`\n- `tensorflow-cpu 2.4.2`\n- `tensorflow-gpu 2.1.4`\n- `tensorflow-gpu 2.2.3`\n- `tensorflow-gpu 2.3.3`\n- `tensorflow-gpu 2.4.2`","depth":"sunlit","depthScore":14,"depthScoreParts":{"impact":13.8,"likelihood":0,"exploitation":0,"ransomware":0},"changes":[]}