CVE & CISA-KEV Catalog

CVE-2022-35940

MEDIUM
5.9
CVSS v3
NVD

Description

TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that is eventually used to construct a `TensorShape` as an `int64`. If `limits` is a very large float, it can overflow when converted to an `int64`. This triggers an `InvalidArgument` but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

How to fix

Remediation Available
tensorflowNVD
Affected:>= 2.9.0, < 2.9.1Fixed in:2.9.1CVE-2022-35940derived from NVD

Remediation is compiled from vendor and distribution security advisories. Always confirm against the linked source for your exact version and platform.

CVSS v3 Vector

Exploitability

Attack VectorNetwork
Attack ComplexityHigh
Privileges RequiredNone
User InteractionNone
ScopeUnchanged

Impact

ConfidentialityNone
IntegrityNone
AvailabilityHigh

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

Exploit Intelligence

0.55%probability of exploitation in 30 days
42ndpercentile

Moderate risk: more likely to be exploited than 42% of all known CVEs.

References

Third-Party Advisory1

Related Vulnerabilities

Other CWE-190 (Integer Overflow) vulnerabilities, ordered by exploit likelihood. View all

CVESeverityCVSSEPSSExploitedFix
CVE-2020-16040Medium6.5100%-Fix
CVE-2019-11477High7.599%-Fix
CVE-2023-44443High7.894%-Fix
CVE-2014-0569High9.390%--
CVE-2017-3599High7.590%-Fix
CVE-2023-21716Critical9.882%-Fix
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This product uses NVD data but is not endorsed or certified by the NVD. EPSS scores courtesy of FIRST.org (https://www.first.org/epss). Source: CISA KEV Catalog. Data as of 2024-11-21.