CVE-2021-37675Public exploit

Process crash via zero convolution dimensions

Published Aug 12, 2021 · Updated Aug 4, 2024

Divide-by-zero in TensorFlow convolution shape inference before 2.3.4, 2.4.0 through 2.4.2, and 2.5.0 allows local users to crash a process. Conv2DShapeImpl and Conv3DShape in common_shape_fns.cc perform modulo or division with a zero filter depth or zero group count because neither value is first rejected. Exploitation requires a local low-privilege user to submit crafted zero-dimension tensor shapes, and the arithmetic fault terminates only the affected TensorFlow process.

CVSS severity5.5
Medium
EPSS probability0.16%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
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Summary

What happened

Divide-by-zero in TensorFlow convolution shape inference before 2.3.4, 2.4.0 through 2.4.2, and 2.5.0 allows local users to crash a process. Conv2DShapeImpl and Conv3DShape in common_shape_fns.cc perform modulo or division with a zero filter depth or zero group count because neither value is first rejected. Exploitation requires a local low-privilege user to submit crafted zero-dimension tensor shapes, and the arithmetic fault terminates only the affected TensorFlow process.

The record

CVE
CVE-2021-37675
Published
Aug 12, 2021
Updated
Aug 4, 2024
Vendor
Google
Product
TensorFlow
Classifications
CWE-369, T1499
Attack vector
local
Privileges
authenticated

Timeline

How it unfolded

  1. Aug 12, 2021CVE publishedPublication date reported by the CVE source.
  2. Aug 4, 2024Record updatedLatest update available in the CVE record.

Exploitability

Present is not the same as exploitable

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Is a vulnerable build present?

Compare these published version ranges with your installed build and any vendor patches.

  1. Affected versionversion=< 2.3.4
  2. Affected versionversion=>= 2.4.0, < 2.4.3
  3. Affected versionversion=>= 2.5.0, < 2.5.1

What conditions does exploitation require?

Attack vectorlocal
Required privilegesauthenticated

What is affected?

Google · TensorFlowversion=< 2.3.4; version=>= 2.4.0, < 2.4.3; version=>= 2.5.0, < 2.5.1

Published CVSS scores

5.5GitHub, Inc.CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
2.1NIST NVDAV:L/AC:L/Au:N/C:N/I:N/A:P

CVSS describes severity. EPSS estimates exploitation probability.

Attacks

What attackers are doing with it

Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.

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No observations available

Sep 10, 2026Sep 16, 2026
Latest reporting daySep 16, 2026
Latest daily unique IPsUnavailable
Prior 30-day averageUnavailable
SourceShadowserver honeypots (KEV)
Vectorlocal
Privilegesauthenticated
Known exploitationUnconfirmed
Public exploitPublished

Weakness, pattern, technique

CWE-369Divide By Zero
T1499Endpoint Denial of Service

Public exploit references

Labels summarize the accepted research assessment. They do not indicate a test against your environment.

Technologies

Your stack

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Your stack

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