QID 980169

QID 980169: Python (pip) Security Update for tensorflow-gpu (GHSA-7pxj-m4jf-r6h2)

Security update has been released for tensorflow-gpu,tensorflow,tensorflow-cpu to fix the vulnerability.

Note: The preceding description block is extracted directly from the security advisory. Using automation, we have attempted to clean and format it as much as possible without introducing additional issues.

An attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow.

This is because the checkpoints loading infrastructure is missing validation for invalid file formats.

CVSS V3 rated as High - 7.8 severity.

CVSS V2 rated as Medium - 4.6 severity.

Solution

We have patched the issue in GitHub commits [b619c6f865715ca3b15ef1842b5b95edbaa710ad](https://github.com/tensorflow/tensorflow/commit/b619c6f865715ca3b15ef1842b5b95edbaa710ad), [e8dc63704c88007ee4713076605c90188d66f3d2](https://github.com/tensorflow/tensorflow/commit/e8dc63704c88007ee4713076605c90188d66f3d2), [368af875869a204b4ac552b9ddda59f6a46a56ec](https://github.com/tensorflow/tensorflow/commit/368af875869a204b4ac552b9ddda59f6a46a56ec), and [abcced051cb1bd8fb05046ac3b6023a7ebcc4578](https://github.com/tensorflow/tensorflow/commit/abcced051cb1bd8fb05046ac3b6023a7ebcc4578).

These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Vendor References

GHSA-7pxj-m4jf-r6h2 - github.com/advisories/GHSA-7pxj-m4jf-r6h2

CVEs related to QID 980169

CVE-2021-41203 |

Software Advisories

Advisory ID	Software	Link
GHSA-7pxj-m4jf-r6h2	tensorflow	github.com/advisories/GHSA-7pxj-m4jf-r6h2
GHSA-7pxj-m4jf-r6h2	tensorflow-cpu	github.com/advisories/GHSA-7pxj-m4jf-r6h2
GHSA-7pxj-m4jf-r6h2	tensorflow-gpu	github.com/advisories/GHSA-7pxj-m4jf-r6h2

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