CVE-2021-37660
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/inplace_ops.cc#L283) has a logic error: it should skip processing if `x` and `v` are empty but the code uses `||` instead of `&&`. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. 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.
Predictions
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
No mitigations published for this CVE yet.
The vendor-content worker queues fetches as references arrive (check back in a few minutes). Or — if you've already worked around this in production — publish your fix to the community-verified tier.
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OS impact
Arch Fixed 1 release
| Version | Status | Fixed in |
|---|---|---|
| — | Fixed | 2.5.1-1 |
Debian Fixed 2 releases
| Version | Status | Fixed in |
|---|---|---|
| sid | Fixed | 0 |
| forky | Fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | tensorflow | <2.3.4 | 2.3.4 |
| PyPI | tensorflow | >=2.4.0,<2.4.3 | 2.4.3 |
| PyPI | tensorflow | >=2.5.0,<2.5.1 | 2.5.1 |
| PyPI | tensorflow-cpu | <2.3.4 | 2.3.4 |
| PyPI | tensorflow-cpu | >=2.4.0,<2.4.3 | 2.4.3 |
| PyPI | tensorflow-cpu | >=2.5.0,<2.5.1 | 2.5.1 |
| PyPI | tensorflow-gpu | <2.3.4 | 2.3.4 |
| PyPI | tensorflow-gpu | >=2.4.0,<2.4.3 | 2.4.3 |
| PyPI | tensorflow-gpu | >=2.5.0,<2.5.1 | 2.5.1 |
| PyPI | tensorflow | <e86605c0a336c088b638da02135ea6f9f6753618||>=2.4.0,<2.4.3 | e86605c0a336c088b638da02135ea6f9f6753618 |
| PyPI | tensorflow-cpu | <e86605c0a336c088b638da02135ea6f9f6753618||>=2.4.0,<2.4.3 | e86605c0a336c088b638da02135ea6f9f6753618 |
| PyPI | tensorflow-gpu | <e86605c0a336c088b638da02135ea6f9f6753618||>=2.4.0,<2.4.3 | e86605c0a336c088b638da02135ea6f9f6753618 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cm5x-837x-jf3c
- https://nvd.nist.gov/vuln/detail/CVE-2021-37660
- https://github.com/tensorflow/tensorflow/commit/e86605c0a336c088b638da02135ea6f9f6753618
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-573.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-771.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-282.yaml
- https://github.com/tensorflow/tensorflow
- https://security-tracker.debian.org/tracker/CVE-2021-37660
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.