Vulnerability CVE-2021-37680


Published: 2021-08-12   Modified: 2021-08-13

Description:
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Type:

CWE-369

(Divide By Zero)

CVSS2 => (AV:L/AC:L/Au:N/C:N/I:N/A:P)

CVSS Base Score
Impact Subscore
Exploitability Subscore
2.1/10
2.9/10
3.9/10
Exploit range
Attack complexity
Authentication
Local
Low
No required
Confidentiality impact
Integrity impact
Availability impact
None
None
Partial
Affected software
Google -> Tensorflow 

 References:
https://github.com/tensorflow/tensorflow/commit/718721986aa137691ee23f03638867151f74935f
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cfpj-3q4c-jhvr

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