CVE-2021-37686
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for [ellipsis in axis definition](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/strided_slice.cc#L103-L122). An attacker can craft a model such that `ellipsis_end_idx` is smaller than `i` (e.g., always negative). In this case, the inner loop does not increase `i` and the `continue` statement causes execution to skip over the preincrement at the end of the outer loop. We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695. TensorFlow 2.6.0 is the only affected version.
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 โ if you've already worked around this in production โ publish your fix to the community-verified tier.
โ Propose a mitigation on Community โ 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 |
|---|---|---|
| โ | 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 | >=2.6.0rc0,<2.6.0rc2 | 2.6.0rc2 |
| PyPI | tensorflow-cpu | >=2.6.0rc0,<2.6.0rc2 | 2.6.0rc2 |
| PyPI | tensorflow-gpu | >=2.6.0rc0,<2.6.0rc2 | 2.6.0rc2 |
| PyPI | tensorflow | <dfa22b348b70bb89d6d6ec0ff53973bacb4f4695||>=2.4.0,<2.4.3 | dfa22b348b70bb89d6d6ec0ff53973bacb4f4695 |
| PyPI | tensorflow-cpu | <dfa22b348b70bb89d6d6ec0ff53973bacb4f4695||>=2.4.0,<2.4.3 | dfa22b348b70bb89d6d6ec0ff53973bacb4f4695 |
| PyPI | tensorflow-gpu | <dfa22b348b70bb89d6d6ec0ff53973bacb4f4695||>=2.4.0,<2.4.3 | dfa22b348b70bb89d6d6ec0ff53973bacb4f4695 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mhhc-q96p-mfm9
- https://nvd.nist.gov/vuln/detail/CVE-2021-37686
- https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-599.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-797.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-308.yaml
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.4
- https://github.com/tensorflow/tensorflow/releases/tag/v2.4.3
- https://github.com/tensorflow/tensorflow/releases/tag/v2.5.1
- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.0
- https://security-tracker.debian.org/tracker/CVE-2021-37686
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.