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Advisory Package Curation

CVE-2021-29596

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Advisory Summaries

github_osv/GHSA-4vrf-ff7v-hpgr

Division by zero in TFLite's implementation of `EmbeddingLookup` 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: ```cc const int row_size = SizeOfDimension(value, 0); const int row_bytes = value->bytes / row_size; ``` An attacker can craft a model such that the first dimension of the `value` input is 0. ### Patches We have patched the issue in GitHub commit f61c57bd425878be108ec787f4d96390579fb83e https://github.com/tensorflow/tensorflow/commit/f61c57bd425878be108ec787f4d96390579fb83e. 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. ### For more information Please consult our security guide https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

gitlab/pypi/tensorflow/CVE-2021-29596

Division by zero in TFLite's implementation of `EmbeddingLookup` 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: ```cc const int row_size = SizeOfDimension(value, 0); const int row_bytes = value->bytes / row_size; ``` An attacker can craft a model such that the first dimension of the `value` input is 0.

pypa/tensorflow/PYSEC-2021-233

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.

pysec/PYSEC-2021-233

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.