QID 980058

QID 980058: Python (pip) Security Update for tensorflow (GHSA-x9j7-x98r-r4w2)

Security update has been released for tensorflow 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.

If a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption.

CVSS V3 rated as High - 6.5 severity.

CVSS V2 rated as Medium - 5.8 severity.

Solution

We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3.

We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.Workaround:
A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that no operator reuses tensors as both inputs and outputs. Care should be taken to check all types of inputs (i.e., constant or variable tensors as well as optional tensors).

Vendor References

GHSA-x9j7-x98r-r4w2 - github.com/advisories/GHSA-x9j7-x98r-r4w2

CVEs related to QID 980058

CVE-2020-15210 |

Software Advisories

Advisory ID	Software	Component	Link
GHSA-x9j7-x98r-r4w2	tensorflow		github.com/advisories/GHSA-x9j7-x98r-r4w2

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