CVE-2022-23585
Description
Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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.
✚ 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
Debian Fixed 2 releases
| Version | Status | Fixed in |
|---|---|---|
| sid | Fixed | 0 |
| forky | Fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | tensorflow | <2.5.3 | 2.5.3 |
| PyPI | tensorflow | >=2.6.0,<2.6.3 | 2.6.3 |
| PyPI | tensorflow | >=2.7.0,<2.7.1 | 2.7.1 |
| PyPI | tensorflow-cpu | <2.5.3 | 2.5.3 |
| PyPI | tensorflow-cpu | >=2.6.0,<2.6.3 | 2.6.3 |
| PyPI | tensorflow-cpu | >=2.7.0,<2.7.1 | 2.7.1 |
| PyPI | tensorflow-gpu | <2.5.3 | 2.5.3 |
| PyPI | tensorflow-gpu | >=2.6.0,<2.6.3 | 2.6.3 |
| PyPI | tensorflow-gpu | >=2.7.0,<2.7.1 | 2.7.1 |
| PyPI | tensorflow-gpu | <ab51e5b813573dc9f51efa335aebcf2994125ee9||>=2.6.0,<2.6.3 | ab51e5b813573dc9f51efa335aebcf2994125ee9 |
| PyPI | tensorflow-cpu | <ab51e5b813573dc9f51efa335aebcf2994125ee9||>=2.6.0,<2.6.3 | ab51e5b813573dc9f51efa335aebcf2994125ee9 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fq6p-6334-8gr4
- https://nvd.nist.gov/vuln/detail/CVE-2022-23585
- https://github.com/tensorflow/tensorflow/commit/ab51e5b813573dc9f51efa335aebcf2994125ee9
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-94.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-149.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/image/decode_image_op.cc#L322-L416
- https://security-tracker.debian.org/tracker/CVE-2022-23585
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.