Predictive Vulnerability Intelligence.

Product

  • Product
  • Pricing
  • Documentation

Company

  • About
  • Partnerships
  • Blog
  • Support

Legal

  • Terms
  • Privacy
  • Data Licensing

© 2026 FAUCET Technologies LLC. All rights reserved.

CVE-2022-41897

24
FAUCET Score

CVE-2022-41897 is a denial-of-service vulnerability affecting Google TensorFlow, where providing oversized inputs to the FractionMaxPoolGrad function can cause the application to crash. With a CVSS score of 7.5 (High), this vulnerability can be exploited remotely with low attack complexity, leading to a complete loss of availability. There is currently no evidence of active exploitation, public exploit code, or significant community discussion surrounding this CVE.

Impacted Technologies

VendorProductVersion(s)CPE
< 2.8.4CPE matchmatch criteria
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
>= 2.9.0, < 2.9.3CPE matchmatch criteria
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
>= 2.10.0, < 2.10.1CPE matchmatch criteria
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*

CVSS Data

CVSS version used by this source: 3.1

4.8MEDIUM

CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H

Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
LOW
User Interaction
REQUIRED
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
Exploitability Score
1.2
Impact Score
3.6
CvssVersion
3.1

Exploit Intelligence

EPSS Score
0.44%
Probability of exploitation in next 30 days
EPSS Percentile
36.0%
Percentile rank of EPSS score among Peer Group
As of 2026-07-27
Model: v2026.06.15
This CVE's current EPSS score of 0.0044 is in the 15th percentile among its peer group of 51,553 CVEs.

Social Chatter

The average CVE in this peer group has 0.0 Twitter, 0.0 Reddit, 0.1 Bluesky, 0.1 Mastodon, and 0.4 GitHub mentions.

Media Mentions

No media coverage found for this CVE.

The average CVE in this peer group has 0.1 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.

Remediation

Patch Available

Vendor Patches (14)

github_advisorypatch availablevia nvd_reference
View patch
microsoftpatch availablevia msrc
Product: 19510-16823Fixed in: 2.11.0-1
microsoftpatch availablevia msrc
Product: cbl2 tensorflow 2.11.0-1 on CBL Mariner 2.0Fixed in: 2.11.0-1
microsoftpatch availablevia msrc
Product: CBL Mariner 2.0 x64Fixed in: 2.11.0-1
microsoftpatch availablevia msrc
Product: CBL Mariner 2.0 ARMFixed in: 2.11.0-1
pippatch availablevia ghsa
Product: tensorflow-cpuFixed in: 2.9.3
pippatch availablevia ghsa
Product: tensorflow-gpuFixed in: 2.9.3
pippatch availablevia ghsa
Product: tensorflowFixed in: 2.8.4
pippatch availablevia ghsa
Product: tensorflow-gpuFixed in: 2.10.1
pippatch availablevia ghsa
Product: tensorflow-cpuFixed in: 2.10.1
pippatch availablevia ghsa
Product: tensorflowFixed in: 2.9.3
pippatch availablevia ghsa
Product: tensorflowFixed in: 2.10.1
pippatch availablevia ghsa
Product: tensorflow-cpuFixed in: 2.8.4
pippatch availablevia ghsa
Product: tensorflow-gpuFixed in: 2.8.4

Vendor Advisories (3)

microsoft2022-Dec/CVE-2022-41897

CVE-2022-41897

Dec 13, 2022
pipGHSA-f2w8-jw48-fr7jmedium

`FractionalMaxPoolGrad` Heap out of bounds read

Nov 21, 2022
microsoft2022-Nov/CVE-2022-41897Important

`FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow

Nov 8, 2022

References

github.com / tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_max_pool_op.cc
Third Party Advisory
github.com / tensorflow/tensorflow/commit/d71090c3e5ca325bdf4b02eb236cfb3ee823e927
PatchThird Party Advisory
github.com / tensorflow/tensorflow/security/advisories/GHSA-f2w8-jw48-fr7j
ExploitPatchThird Party Advisory