STT-tensorflow/tensorflow/security/advisory/tfsa-2019-002.md
Mihai Maruseac af398b193d Security advisory for CVE-2019-16778
PiperOrigin-RevId: 285797271
Change-Id: I2806f87472d46c4a00a1595d0dc64df3c844a1ae
2019-12-16 11:15:11 -08:00

1.2 KiB

TFSA-2019-002: Heap buffer overflow in UnsortedSegmentSum

CVE Number

CVE-2019-16778

Issue Description

A heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory.

Impact

This is unlikely to be exploitable and was detected and fixed internally. We are making the security advisory only to notify users that it is better to update to TensorFlow 1.15 or 2.0 or later as these versions already have this fixed.

Vulnerable Versions

TensorFlow 1.0.0, 1.0.1, 1.1.0, 1.2.0, 1.2.1, 1.3.0, 1.3.1, 1.4.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.7.0, 1.7.1, 1.8.0, 1.9.0, 1.10.0, 1.10.1, 1.11.0, 1.12.0, 1.12.1, 1.12.2, 1.12.3, 1.13.0, 1.13.1, 1.13.2, 1.14.0.

Mitigation

We have patched the vulnerability in GitHub commit db4f971.

We encourage users to switch to TensorFlow 1.15 or 2.0 as these versions contain the fix. If switching is undesirable, consider cherry-picking the above commit and building from source.