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...
Full analysis pending. Showing NVD description excerpt.
Affected Systems
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| tensorflow | pip | >= 2.6.0rc0, < 2.6.0rc2 | 2.6.0rc2 |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow-cpu | pip | >= 2.6.0rc0, < 2.6.0rc2 | 2.6.0rc2 |
| tensorflow-gpu | pip | >= 2.6.0rc0, < 2.6.0rc2 | 2.6.0rc2 |
Severity & Risk
Recommended Action
Patch available
Update tensorflow to version 2.6.0rc2
Update tensorflow-cpu to version 2.6.0rc2
Update tensorflow-gpu to version 2.6.0rc2
Compliance Impact
Compliance analysis pending. Sign in for full compliance mapping when available.
Technical Details
NVD 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.
CVSS Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H References
- github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695 Patch 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-mhhc-q96p-mfm9 3rd Party
- github.com/advisories/GHSA-mhhc-q96p-mfm9
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-599.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-797.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-308.yaml
- github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695
- github.com/tensorflow/tensorflow/releases/tag/v2.3.4
- github.com/tensorflow/tensorflow/releases/tag/v2.4.3
- github.com/tensorflow/tensorflow/releases/tag/v2.5.1
- github.com/tensorflow/tensorflow/releases/tag/v2.6.0
- github.com/tensorflow/tensorflow/security/advisories/GHSA-mhhc-q96p-mfm9
- nvd.nist.gov/vuln/detail/CVE-2021-37686
- github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695 Patch 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-mhhc-q96p-mfm9 3rd Party