experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
76aec79d60
STT-tensorflow/tensorflow/security/advisory/tfsa-2020-001.md
Mihai Maruseac 76aec79d60 Updates to the security advisories: 
* we released 1.15.2 for TFSA-2020-001, not 1.15.1
* make index page be `README.md`, not `index.md`, so that GitHub will show it by default

PiperOrigin-RevId: 291952558
Change-Id: I5165aa5dac1a5b0b85a0eaea13678076d48787a5
2020-01-28 09:48:50 -08:00

1.3 KiB
Raw Blame History

TFSA-2020-001: Segmentation fault when converting a Python string to tf.float16

CVE Number

CVE-2020-5215

Issue Description

Converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode.

Impact

This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value.

Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions.

This can be easily reproduced by tf.constant("hello", tf.float16), if eager execution is enabled.

Vulnerable Versions

TensorFlow 1.12.0, 1.12.1, 1.12.2, 1.12.3, 1.13.0, 1.13.1, 1.13.2, 1.14.0, 1.15.0, 2.0.0.

Mitigation

We have patched the vulnerability in GitHub commit 5ac1b9.

We are additionally releasing TensorFlow 1.15.2 and 2.0.1 with this vulnerability patched.

TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected.

We encourage users to switch to TensorFlow 1.15.2, 2.0.1 or 2.1.0.