GHSA-8rm6-75mf-7r7r

Dashboard / Vulnerabilities / GHSA-8rm6-75mf-7r7r

GHSA-8rm6-75mf-7r7r

Summary: Division by zero in TFLite's implementation of hashtable lookup

Details: ### Impact 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): ```cc const int num_rows = SizeOfDimension(value, 0); const int row_bytes = value->bytes / num_rows; ``` An attacker can craft a model such that `values`'s first dimension would be 0. ### Patches We have patched the issue in GitHub commit [5117e0851348065ed59c991562c0ec80d9193db2](https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2). 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.

References: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8rm6-75mf-7r7r, https://nvd.nist.gov/vuln/detail/CVE-2021-29604, https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-532.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-730.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-241.yaml, https://github.com/tensorflow/tensorflow, https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115