CVE-2021-29596
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 implementation of the EmbeddingLookup TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/e4b29809543b250bc9b19678ec4776299dd569ba/tensorflow/lite/kernels/embedding_lookup.cc#L73-L74). An attacker can craft a model such that the first dimension of the value input is 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-4vrf-ff7v-hpgr
- https://github.com/tensorflow/tensorflow/commit/f61c57bd425878be108ec787f4d96390579fb83e
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4vrf-ff7v-hpgr
- https://github.com/tensorflow/tensorflow/commit/f61c57bd425878be108ec787f4d96390579fb83e
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