CVE-2022-23559Network attack vector

Heap out-of-bounds access via unchecked dimension multiplication

Published Feb 4, 2022 · Updated Apr 22, 2025

Integer overflow in TensorFlow TFLite before 2.5.3, 2.6.0 through 2.6.2, and 2.7.0 allows attackers to read or write heap memory. The sparse embedding lookup kernel multiplies attacker-controlled dimensions into embedding_size and lookup_size without checking for overflow before allocating and filling its output buffer. Reachability requires a consuming application to accept and evaluate an attacker-controlled TFLite model; published evidence does not establish code execution.

CVSS severity8.8
High
EPSS probability1.18%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
Coverage for this vulnerability

See if you're affected

Explore vulnerability checks for your environment with Hinoki.

Book a demo

Summary

What happened

Integer overflow in TensorFlow TFLite before 2.5.3, 2.6.0 through 2.6.2, and 2.7.0 allows attackers to read or write heap memory. The sparse embedding lookup kernel multiplies attacker-controlled dimensions into embedding_size and lookup_size without checking for overflow before allocating and filling its output buffer. Reachability requires a consuming application to accept and evaluate an attacker-controlled TFLite model; published evidence does not establish code execution.

The record

CVE
CVE-2022-23559
Published
Feb 4, 2022
Updated
Apr 22, 2025
Vendor
Google
Product
TensorFlow
Classifications
CWE-190
Attack vector
network
Privileges
authenticated

Timeline

How it unfolded

  1. Feb 4, 2022CVE publishedPublication date reported by the CVE source.
  2. Apr 22, 2025Record updatedLatest update available in the CVE record.

Exploitability

Present is not the same as exploitable

Compare your product and version with the public record. A matching version still requires validation against your environment.

Is a vulnerable build present?

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

  1. Affected versionversion=< 2.5.3
  2. Affected versionversion=>= 2.6.0, < 2.6.3
  3. Affected versionversion=>= 2.7.0, < 2.7.1

What conditions does exploitation require?

Attack vectornetwork
Required privilegesauthenticated

What is affected?

Google · TensorFlowversion=< 2.5.3; version=>= 2.6.0, < 2.6.3; version=>= 2.7.0, < 2.7.1

Published CVSS scores

8.8NIST NVDCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
8.8GitHub, Inc.CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
6.5NIST NVDAV:N/AC:L/Au:S/C:P/I:P/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.

Daily unique IPsNo honeypot observations are available for this CVE in the selected window.

No observations available

Sep 9, 2026Sep 15, 2026
Latest reporting daySep 15, 2026
Latest daily unique IPsUnavailable
Prior 30-day averageUnavailable
SourceShadowserver honeypots (KEV)
Vectornetwork
Privilegesauthenticated
Known exploitationUnconfirmed
Public exploitUnconfirmed

Weakness, pattern, technique

CWE-190Integer Overflow or Wraparound

Public exploit references

No public exploit references are available in this record.

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

Technologies

Your stack

See the directory against your own environment.

Your stack

Check the software in your environment

Book a demo to see how Hinoki identifies affected software and validates exploitability in your environment.

Book a demo