CVE-2020-15194 – tensorflow-cpu

Package

Manager: pip
Name: tensorflow-cpu
Vulnerable Version: >=0 <1.15.4 || >=2.0.0 <2.0.3 || >=2.1.0 <2.1.2 || =2.2.0 || >=2.2.0 <2.2.1 || =2.3.0 || >=2.3.0 <2.3.1

Severity

Level: Medium

CVSS v3.1: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

CVSS v4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

EPSS: 0.0022 pctl0.44585

Details

Denial of Service in Tensorflow ### Impact The `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L235-L241 Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. ### Patches We have patched the issue in 390611e0d45c5793c7066110af37c8514e6a6c54 and will release a patch release for all affected versions. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. ### 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 is a variant of [GHSA-63xm-rx5p-xvqr](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-63xm-rx5p-xvqr)

Metadata

Created: 2020-09-25T18:28:19Z
Modified: 2024-10-28T20:02:43Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/09/GHSA-9mqp-7v2h-2382/GHSA-9mqp-7v2h-2382.json
CWE IDs: ["CWE-20", "CWE-617"]
Alternative ID: GHSA-9mqp-7v2h-2382
Finding: F184
Auto approve: 1