CVE-2021-29547Public exploit

Process crash via unchecked empty normalization tensors

Published May 14, 2021 · Updated Aug 3, 2024

Out-of-bounds read in Google TensorFlow before 2.1.4 allows local users to crash the process via empty normalization inputs. The QuantizedBatchNormWithGlobalNormalization kernel reads element zero from each min/max tensor through flat() without first verifying that the tensor contains an element. Local execution of the raw operation is required; 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, and the reported consequence is a TensorFlow process crash.

CVSS severity5.5
Medium
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

Out-of-bounds read in Google TensorFlow before 2.1.4 allows local users to crash the process via empty normalization inputs. The QuantizedBatchNormWithGlobalNormalization kernel reads element zero from each min/max tensor through flat() without first verifying that the tensor contains an element. Local execution of the raw operation is required; 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, and the reported consequence is a TensorFlow process crash.

The record

CVE
CVE-2021-29547
Published
May 14, 2021
Updated
Aug 3, 2024
Vendor
Google
Product
TensorFlow
Classifications
CWE-125, 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

2.1NIST National Vulnerability DatabaseAV:L/AC:L/Au:N/C:N/I:N/A:P
5.5NIST National Vulnerability DatabaseCVSS: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-125Out-of-bounds Read
T1499.004Endpoint Denial of Service: Application 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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