AVID-2026-R0736

Description

Division by 0 in Conv2DBackpropInput (CVE-2021-29525)

Details

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in tf.raw_ops.Conv2DBackpropInput. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/b40060c9f697b044e3107917c797ba052f4506ab/tensorflow/core/kernels/conv_grad_input_ops.h#L625-L655) does a division by a quantity that is controlled by the caller. 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.

Reason for inclusion in AVID: CVE-2021-29525 describes a division-by-zero vulnerability in TensorFlow’s Conv2DBackpropInput. This directly concerns an AI framework component used to build/train/deploy general-purpose AI systems, representing a software supply-chain vulnerability in AI software stacks. The report references the affected TensorFlow subsystem, provides CVE details, and lists fixes, indicating clear security impact and sufficient signal for AVID curation.

References

Affected or Relevant Artifacts

Developer: tensorflow
Deployer: tensorflow
Artifact Details:

Type	Name
System	tensorflow

Impact

AVID Taxonomy Categorization

Risk domains: Security
SEP subcategories: S0100: Software Vulnerability
Lifecycle stages: L06: Deployment

CVSS

Version	3.1
Vector String	CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Base Score	2.5
Base Severity	🟢 Low
Attack Vector	LOCAL
Attack Complexity	🔴 High
Privileges Required	🟢 Low
User Interaction	NONE
Scope	UNCHANGED
Confidentiality Impact	NONE
Integrity Impact	NONE
Availability Impact	🟢 Low

CWE

ID	Description
CWE-369	CWE-369: Divide By Zero

Other information

Report Type: Advisory
Credits:
Date Reported: 2021-05-14
Version: 0.3.3
AVID Entry