QID 981468

QID 981468: Python (pip) Security Update for tensorflow-gpu (GHSA-mxjj-953w-2c2v)

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.

When determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/internal/types.h#L437-L442

Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors.

CVSS V3 rated as Critical - 9.8 severity.

CVSS V2 rated as High - 7.5 severity.

Solution

We have patched the issue in 8ee24e7949a20 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.

Vendor References

GHSA-mxjj-953w-2c2v - github.com/advisories/GHSA-mxjj-953w-2c2v

CVEs related to QID 981468

CVE-2020-15208 |

Software Advisories

Advisory ID	Software	Link
GHSA-mxjj-953w-2c2v	tensorflow	github.com/advisories/GHSA-mxjj-953w-2c2v
GHSA-mxjj-953w-2c2v	tensorflow-cpu	github.com/advisories/GHSA-mxjj-953w-2c2v
GHSA-mxjj-953w-2c2v	tensorflow-gpu	github.com/advisories/GHSA-mxjj-953w-2c2v

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