QID 981472

QID 981472: Python (pip) Security Update for tensorflow-gpu (GHSA-jc87-6vpp-7ff3)

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.

The `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L193-L195

Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers.

CVSS V3 rated as Medium - 5.4 severity.

CVSS V2 rated as Medium - 5.8 severity.

Solution

We have patched the issue in 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and will release a patch release.

We recommend users to upgrade to TensorFlow 2.3.1.

Vendor References

GHSA-jc87-6vpp-7ff3 - github.com/advisories/GHSA-jc87-6vpp-7ff3

CVEs related to QID 981472

CVE-2020-15198 |

Software Advisories

Advisory ID	Software	Link
GHSA-jc87-6vpp-7ff3	tensorflow	github.com/advisories/GHSA-jc87-6vpp-7ff3
GHSA-jc87-6vpp-7ff3	tensorflow-cpu	github.com/advisories/GHSA-jc87-6vpp-7ff3
GHSA-jc87-6vpp-7ff3	tensorflow-gpu	github.com/advisories/GHSA-jc87-6vpp-7ff3

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