`CHECK`-fail in `MapStage`
Medium5.5CVE-2021-37673 · Published Aug 25, 2021 · updated Jul 8, 2026
### Impact An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`: ```python import tensorflow as tf tf.raw_ops.MapStage( key=tf.constant([], shape=[0, 0, 0, 0], dtype=tf.int64), indices=tf.constant((0), dtype=tf.int32), values=[tf.constant((0), dtype=tf.int32)], dtypes=[tf.int32, tf.int64], capacity=0, memory_limit=0, container='', shared_name='') ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L513) does not check that the `key` input is a valid non-empty tensor. ### Patches We have patched the issue in GitHub commit [d7de67733925de196ec8863a33445b73f9562d1d](https://github.com/tensorflow/tensorflow/commit/d7de67733925de196ec8863a33445b73f9562d1d). The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 an...
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| tensorflow PyPI | < 2.3.4 | 2.3.4 |
| >= 2.4.0, < 2.4.3 | 2.4.3 | |
| >= 2.5.0, < 2.5.1 | 2.5.1 |
Details and references
### Impact An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`: ```python import tensorflow as tf tf.raw_ops.MapStage( key=tf.constant([], shape=[0, 0, 0, 0], dtype=tf.int64), indices=tf.constant((0), dtype=tf.int32), values=[tf.constant((0), dtype=tf.int32)], dtypes=[tf.int32, tf.int64], capacity=0, memory_limit=0, container='', shared_name='') ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L513) does not check that the `key` input is a valid non-empty tensor. ### Patches We have patched the issue in GitHub commit [d7de67733925de196ec8863a33445b73f9562d1d](https://github.com/tensorflow/tensorflow/commit/d7de67733925de196ec8863a33445b73f9562d1d). The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 by Ying Wang and Yakun Zhang of Baidu X-Team.
- CVSS 3.1
- CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-20
- Also known as
- BIT-tensorflow-2021-37673, CVE-2021-37673, PYSEC-2021-295, PYSEC-2021-586, PYSEC-2021-784
- github.com/tensorflow/tensorflow/security/advisories/GHSA-278g-rq84-9hmg
- nvd.nist.gov/vuln/detail/CVE-2021-37673
- github.com/tensorflow/tensorflow/commit/d7de67733925de196ec8863a33445b73f9562d1d
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-586.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-784.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-295.yaml
- github.com/tensorflow/tensorflow
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