CVE-2021-29604
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Summary
TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of hashtable lookup is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115) An attacker can craft a model such that values's first dimension would be 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Affected Software
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| tensorflow | tensorflow | < 2.1.4 | affected |
| tensorflow | tensorflow | >= 2.2.0, < 2.2.3 | affected |
| tensorflow | tensorflow | >= 2.3.0, < 2.3.3 | affected |
| tensorflow | tensorflow | >= 2.4.0, < 2.4.2 | affected |
Weaknesses
- CWE-369: CWE-369: Divide By Zero
ADP Enrichment
CVE Program Container
Additional References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8rm6-75mf-7r7r
- https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8rm6-75mf-7r7r
- https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2
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