CVE-2022-23567Public exploitNetwork attack vector

Process crash via unchecked sparse tensor dimensions

Published Feb 3, 2022 · Updated May 5, 2025

Integer overflow in TensorFlow 2.5.2 and earlier, 2.6.0 through 2.6.2, and 2.7.0 allows attackers to crash processes. SparseDenseBinaryOpShared constructs TensorShape directly from attacker-controlled shape dimensions without validating that their element count fits in int64_t. An exposed caller accepting sparse tensors is required; oversized shapes cause memory exhaustion or a CHECK assertion failure that interrupts the hosting process.

CVSS severity6.5
Medium
EPSS probability1.11%
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 2.5.2 and earlier, 2.6.0 through 2.6.2, and 2.7.0 allows attackers to crash processes. SparseDenseBinaryOpShared constructs TensorShape directly from attacker-controlled shape dimensions without validating that their element count fits in int64_t. An exposed caller accepting sparse tensors is required; oversized shapes cause memory exhaustion or a CHECK assertion failure that interrupts the hosting process.

The record

CVE
CVE-2022-23567
Published
Feb 3, 2022
Updated
May 5, 2025
Vendor
Unknown vendor
Product
Unknown product
Classifications
CWE-190, T1499.004
Attack vector
network
Privileges
authenticated

Timeline

How it unfolded

  1. Feb 3, 2022CVE publishedPublication date reported by the CVE source.
  2. May 5, 2025Record updatedLatest update available in the CVE record.

Exploitability

Present is not the same as exploitable

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Is a vulnerable build present?

Affected buildAffected product and version details are unavailable.

What conditions does exploitation require?

Attack vectornetwork
Required privilegesauthenticated

What is affected?

Affected products and versions are unavailable in this record.

Published CVSS scores

6.5NIST NVDCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
4.0NIST NVDAV:N/AC:L/Au:S/C:N/I:N/A:P
7.1GitHubCVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
6.5GitHubCVSS:3.1/AV:N/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)
Vectornetwork
Privilegesauthenticated
Known exploitationUnconfirmed
Public exploitPublished

Weakness, pattern, technique

CWE-190Integer Overflow or Wraparound
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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