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CVE-2022-23568

17
FAUCET Score

CVE-2022-23568 is an integer overflow vulnerability in TensorFlow's AddManySparseToTensorsMap function, affecting versions 2.5.x, 2.6.x, and 2.7.x. This flaw allows an authenticated attacker to trigger a denial of service by providing malformed input that causes a CHECK-fail when constructing TensorShape objects. The vulnerability has a CVSS score of 6.5 (Medium) due to its network-based attack vector and high impact on availability, though it requires low privileges and has low attack complexity. There is currently no evidence of active exploitation, public exploit code, or significant community discussion surrounding this CVE.

Impacted Technologies

VendorProductVersion(s)CPE
<= 2.5.2CPE matchmatch criteria
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
>= 2.6.0, <= 2.6.2CPE matchmatch criteria
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
2.7.0CPE matchmatch criteria
cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*

CVSS Data

CVSS version used by this source: 3.1

6.5MEDIUM

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

Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
Exploitability Score
2.8
Impact Score
3.6
CvssVersion
3.1

Exploit Intelligence

EPSS Score
0.80%
Probability of exploitation in next 30 days
EPSS Percentile
52.9%
Percentile rank of EPSS score among Peer Group
As of 2026-07-28
Model: v2026.06.15
This CVE's current EPSS score of 0.0080 is in the 64th percentile among its peer group of 21,977 CVEs.

Social Chatter

No social media mentions found for this CVE.

The average CVE in this peer group has 0.0 Twitter, 0.0 Reddit, 0.1 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 0.0 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: 2.6.3
pippatch availablevia ghsa
Product: tensorflowFixed in: 2.7.1
pippatch availablevia ghsa
Product: tensorflow-cpuFixed in: 2.5.3
pippatch availablevia ghsa
Product: tensorflow-cpuFixed in: 2.6.3
pippatch availablevia ghsa
Product: tensorflowFixed in: 2.5.3
pippatch availablevia ghsa
Product: tensorflow-gpuFixed in: 2.5.3
pippatch availablevia ghsa
Product: tensorflow-gpuFixed in: 2.6.3
pippatch availablevia ghsa
Product: tensorflow-gpuFixed in: 2.7.1
pippatch availablevia ghsa
Product: tensorflow-cpuFixed in: 2.7.1

Vendor Advisories (1)

pipGHSA-6445-fm66-fvq2high

Integer overflows in Tensorflow

Feb 9, 2022

References

github.com / tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc
ExploitThird Party Advisory
github.com / tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8
PatchThird Party Advisory
github.com / tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c
PatchThird Party Advisory
github.com / tensorflow/tensorflow/security/advisories/GHSA-6445-fm66-fvq2
PatchThird Party Advisory