Published: 14/05/2021 Updated: 19/05/2021

CVSS v2 Base Score: 4.6 | Impact Score: 6.4 | Exploitability Score: 3.9

CVSS v3 Base Score: 7.8 | Impact Score: 5.9 | Exploitability Score: 1.8

VMScore: 409

Vector: AV:L/AC:L/Au:N/C:P/I:P/A:P

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(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.

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A security issue has been found in TensorFlow before version 242 The implementation of the `EmbeddingLookup` TFLite operator is vulnerable to a division by zero error(githubcom/tensorflow/tensorflow/blob/e4b29809543b250bc9b19678ec4776299dd569ba/tensorflow/lite/kernels/embedding_lookupcc#L73-L74) An attacker can craft a model such that ...

CWE-369 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4vrf-ff7v-hpgr https://github.com/tensorflow/tensorflow/commit/f61c57bd425878be108ec787f4d96390579fb83e https://nvd.nist.gov https://security.archlinux.org/CVE-2021-29596

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CVE-2021-29596

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