VIR Vulnerability Intelligence Relay

CVE-2020-15197

unknown
Published 2020-09-25 · Modified 2023-12-06
CVSS v3
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CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:N/I:N/A:H
CVSS v2
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VIR risk
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Description

In Tensorflow before version 2.3.1, 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 rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix. However, malicious users can pass in tensors of different rank, resulting in a `CHECK` assertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

Predictions

Exploit likelihood
30%
Patch ETA
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Heuristic predictions, AS-IS, for prioritization only.

Mitigations

vendor Authored 2026-05-27

Vendor advisory: debian — https://security-tracker.debian.org/tracker/CVE-2020-15197

OS impact
OSVersionStatusFixed in
debian debianforkyfixed0
debian debiansidfixed0

Package impact
EcosystemPackageVulnerableFixed
python PyPItensorflow>=2.3.0,<2.3.12.3.1
python PyPItensorflow-cpu>=2.3.0,<2.3.12.3.1
python PyPItensorflow-gpu>=2.3.0,<2.3.12.3.1
python PyPItensorflow-gpu<3cbb917b4714766030b28eba9fb41bb97ce9ee02||<2.3.13cbb917b4714766030b28eba9fb41bb97ce9ee02
python PyPItensorflow<3cbb917b4714766030b28eba9fb41bb97ce9ee02||<2.3.13cbb917b4714766030b28eba9fb41bb97ce9ee02
python PyPItensorflow-cpu<3cbb917b4714766030b28eba9fb41bb97ce9ee02||<2.3.13cbb917b4714766030b28eba9fb41bb97ce9ee02

References

Verify integrity in audit chain (admin only). AS-IS.