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CVE-2022-29207

20
FAUCET Score

CVE-2022-29207 is a medium-severity vulnerability affecting TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4. It arises from improper handling of invalid resource handles in eager mode, leading to null pointer dereferences and undefined behavior. This local vulnerability has a CVSS score of 5.5, indicating a low attack complexity and potential for high impact on availability. There is currently no evidence of active exploitation, public exploit code, or significant community discussion surrounding this CVE.

Impacted Technologies

VendorProductVersion(s)CPE
< 2.6.4CPE matchmatch criteria
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
>= 2.7.0, < 2.7.2CPE matchmatch criteria
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
2.7.0CPE matchmatch criteria
cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:*
2.7.0CPE matchmatch criteria
cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:*
2.8.0CPE matchmatch criteria
cpe:2.3:a:google:tensorflow:2.8.0:-:*:*:*:*:*:*

CVSS Data

CVSS version used by this source: 3.1

5.5MEDIUM

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

Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
Exploitability Score
1.8
Impact Score
3.6
CvssVersion
3.1

Exploit Intelligence

EPSS Score
0.32%
Probability of exploitation in next 30 days
EPSS Percentile
24.1%
Percentile rank of EPSS score among Peer Group
As of 2026-07-28
Model: v2026.06.15
This CVE's current EPSS score of 0.0032 is in the 81st percentile among its peer group of 15,940 CVEs.

Social Chatter

The average CVE in this peer group has 0.0 Twitter, 0.0 Reddit, 0.0 Bluesky, 0.0 Mastodon, and 0.1 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 (10)

github_advisorypatch availablevia nvd_reference
View patch
pippatch availablevia ghsa
Product: tensorflowFixed in: 2.7.2
pippatch availablevia ghsa
Product: tensorflowFixed in: 2.8.1
pippatch availablevia ghsa
Product: tensorflow-cpuFixed in: 2.6.4
pippatch availablevia ghsa
Product: tensorflow-cpuFixed in: 2.7.2
pippatch availablevia ghsa
Product: tensorflowFixed in: 2.6.4
pippatch availablevia ghsa
Product: tensorflow-gpuFixed in: 2.6.4
pippatch availablevia ghsa
Product: tensorflow-gpuFixed in: 2.7.2
pippatch availablevia ghsa
Product: tensorflow-gpuFixed in: 2.8.1
pippatch availablevia ghsa
Product: tensorflow-cpuFixed in: 2.8.1

Vendor Advisories (1)

pipGHSA-5wpj-c6f7-24x8medium

Undefined behavior when users supply invalid resource handles

May 24, 2022

References

github.com / tensorflow/tensorflow/commit/a5b89cd68c02329d793356bda85d079e9e69b4e7
PatchThird Party Advisory
github.com / tensorflow/tensorflow/commit/dbdd98c37bc25249e8f288bd30d01e118a7b4498
PatchThird Party Advisory
github.com / tensorflow/tensorflow/releases/tag/v2.6.4
Release NotesThird Party Advisory
github.com / tensorflow/tensorflow/releases/tag/v2.7.2
Release NotesThird Party Advisory
github.com / tensorflow/tensorflow/releases/tag/v2.8.1
Release NotesThird Party Advisory
github.com / tensorflow/tensorflow/releases/tag/v2.9.0
Release NotesThird Party Advisory
github.com / tensorflow/tensorflow/security/advisories/GHSA-5wpj-c6f7-24x8
ExploitPatchThird Party Advisory