CVE-2020-26267
Description
In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
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.
✚ Propose a mitigation on Community → Mitigations published via the community go through AI scoring + 2 human reviewers + 7-day silent objection window before landing here withsource_tier=community-verified.
OS impact
Arch Fixed 1 release
| Version | Status | Fixed in |
|---|---|---|
| — | Fixed | 2.4.0-1 |
Debian Fixed 2 releases
| Version | Status | Fixed in |
|---|---|---|
| sid | Fixed | 0 |
| forky | Fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | tensorflow | <1.15.5 | 1.15.5 |
| PyPI | tensorflow | >=2.0.0,<2.0.4 | 2.0.4 |
| PyPI | tensorflow | >=2.1.0,<2.1.3 | 2.1.3 |
| PyPI | tensorflow | >=2.2.0,<2.2.2 | 2.2.2 |
| PyPI | tensorflow | >=2.3.0,<2.3.2 | 2.3.2 |
| PyPI | tensorflow-cpu | <1.15.5 | 1.15.5 |
| PyPI | tensorflow-cpu | >=2.0.0,<2.0.4 | 2.0.4 |
| PyPI | tensorflow-cpu | >=2.1.0,<2.1.3 | 2.1.3 |
| PyPI | tensorflow-cpu | >=2.2.0,<2.2.2 | 2.2.2 |
| PyPI | tensorflow-cpu | >=2.3.0,<2.3.2 | 2.3.2 |
| PyPI | tensorflow-gpu | <1.15.5 | 1.15.5 |
| PyPI | tensorflow-gpu | >=2.0.0,<2.0.4 | 2.0.4 |
| PyPI | tensorflow-gpu | >=2.1.0,<2.1.3 | 2.1.3 |
| PyPI | tensorflow-gpu | >=2.2.0,<2.2.2 | 2.2.2 |
| PyPI | tensorflow-gpu | >=2.3.0,<2.3.2 | 2.3.2 |
| PyPI | tensorflow-gpu | <ebc70b7a592420d3d2f359e4b1694c236b82c7ae||>=2.3.0,<2.3.2 | ebc70b7a592420d3d2f359e4b1694c236b82c7ae |
| PyPI | tensorflow | <ebc70b7a592420d3d2f359e4b1694c236b82c7ae||>=2.3.0,<2.3.2 | ebc70b7a592420d3d2f359e4b1694c236b82c7ae |
| PyPI | tensorflow-cpu | <ebc70b7a592420d3d2f359e4b1694c236b82c7ae||>=2.3.0,<2.3.2 | ebc70b7a592420d3d2f359e4b1694c236b82c7ae |
References
- https://security.archlinux.org/ASA-202012-22
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c9f3-9wfr-wgh7
- https://nvd.nist.gov/vuln/detail/CVE-2020-26267
- https://github.com/tensorflow/tensorflow/commit/ebc70b7a592420d3d2f359e4b1694c236b82c7ae
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-298.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-333.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-140.yaml
- https://github.com/tensorflow/tensorflow
- https://security-tracker.debian.org/tracker/CVE-2020-26267
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.