CVE-2021-29523Public exploit

Process crash via overflowing sparse tensor dimensions

Published May 14, 2021 · Updated Aug 3, 2024

Integer overflow in TensorFlow allows local users to crash a process by supplying crafted sparse tensor dimensions to an affected release. AddManySparseToTensorsMap passes sparse_shape values to a legacy TensorShape constructor whose CHECK aborts when dimension multiplication overflows. The caller must execute the raw operation locally; affected releases are before 2.1.4, 2.2.0 through 2.2.2, 2.3.0 through 2.3.2, and 2.4.0 through 2.4.1.

CVSS severity2.5
Low
EPSS probability0.19%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
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Summary

What happened

Integer overflow in TensorFlow allows local users to crash a process by supplying crafted sparse tensor dimensions to an affected release. AddManySparseToTensorsMap passes sparse_shape values to a legacy TensorShape constructor whose CHECK aborts when dimension multiplication overflows. The caller must execute the raw operation locally; affected releases are before 2.1.4, 2.2.0 through 2.2.2, 2.3.0 through 2.3.2, and 2.4.0 through 2.4.1.

The record

CVE
CVE-2021-29523
Published
May 14, 2021
Updated
Aug 3, 2024
Vendor
Google
Product
TensorFlow
Classifications
CWE-190, T1499.004
Attack vector
local
Privileges
authenticated

Timeline

How it unfolded

  1. May 14, 2021CVE publishedPublication date reported by the CVE source.
  2. Aug 3, 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=< 2.1.4
  2. Affected versionversion=>= 2.2.0, < 2.2.3
  3. Affected versionversion=>= 2.3.0, < 2.3.3
  4. Affected versionversion=>= 2.4.0, < 2.4.2

What conditions does exploitation require?

Attack vectorlocal
Required privilegesauthenticated

What is affected?

Google · TensorFlowversion=< 2.1.4; version=>= 2.2.0, < 2.2.3; version=>= 2.3.0, < 2.3.3; version=>= 2.4.0, < 2.4.2

Published CVSS scores

2.5GitHub, Inc.CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
2.1NIST NVDAV:L/AC:L/Au:N/C:N/I:N/A:P
5.5NIST NVDCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

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-190Integer Overflow or Wraparound
T1499.004Application or System Exploitation

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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