GHSA-q7f7-544h-67h9

Dashboard / Vulnerabilities / GHSA-q7f7-544h-67h9

GHSA-q7f7-544h-67h9

Summary: FPE in TFLite pooling operations

Details: ### Impact The implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. ### Patches We have patched the issue in GitHub commit [dfa22b348b70bb89d6d6ec0ff53973bacb4f4695](https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695). The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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-q7f7-544h-67h9, https://nvd.nist.gov/vuln/detail/CVE-2021-37684, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-597.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-795.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-306.yaml, https://github.com/tensorflow/tensorflow