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GHSA-cfx7-2xpc-8w4h

LowCVSS 2.5 / 10

Published May 21, 2021·Last modified Mar 13, 2026

Affected Components(0)

No affected components available

Description

Impact

The implementation of the BatchToSpaceNd TFLite operator is vulnerable to a division by zero error:

TF_LITE_ENSURE_EQ(context, output_batch_size % block_shape[dim], 0);
output_batch_size = output_batch_size / block_shape[dim];

An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 0.

Patches

We have patched the issue in GitHub commit 2c74674348a4708ced58ad6eb1b23354df8ee044.

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Risk Scores

Base Score

2.5

The vulnerability requires local access to the device to be exploited. It is difficult for an attacker to exploit this vulnerability and may require special conditions. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a low impact on the availability of the system.

Threat Intelligence

2.3

Limited exploitation activity has been observed. Close monitoring and planned remediation are recommended.

EPSS

0.20%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit

Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

Browse More

Low severity

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