CVE-2021-37683

Division by zero in TensorFlow Lite division operations

MEDIUM
5.5
CVSS Score
Published: August 12, 2021 at 10:30 PM UTC
Updated: June 17, 2026 at 04:00 AM UTC
2 products affected across 2 vendorsTensorflowTensorFlow

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Severity
MEDIUM5.5
Exploit prediction
EPSS 0.2%

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/div.cc). There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. 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.

Affected

Our own answer: ranges merged, affected separated from platform-only, with confidence and review flags.

2.3.0 ≤ v < 2.3.42.4.0 ≤ v < 2.4.32.5.02.6.0 rc02.6.0 rc12.6.0 rc2
Affected range stops below 2.3.4, so it looks safe — our inference, not a vendor statement
Affected range stops below 2.4.3, so it looks safe — our inference, not a vendor statement
v < 2.3.4v < 2.4.3v < 2.5.1
Affected range stops below 2.3.4, so it looks safe — our inference, not a vendor statement
Affected range stops below 2.4.3, so it looks safe — our inference, not a vendor statement
Affected range stops below 2.5.1, so it looks safe — our inference, not a vendor statement

Remediation

No guide yet

No remediation guidance has been written for this CVE yet. What the record does show:

CVSS

5.5MEDIUMGitHub_M
Attack Vector
LOCAL
Complexity
LOW
Privileges
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
HIGH
Vector?

Quick Info

StatusMODIFIED
CWE
CWE-369

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