Home/CVE/TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that
CVE

CVE-2022-35940

TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that

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.

MEDIUM · CVSS 5.9 EPSS 0.00191
Monitor
  • No active-exploitation, high-EPSS, or public-exploit signals - routine patching cadence
Sigma rules0 YARA rules0
⬡

Weakness Classification

CWE-190Integer Overflow or Wraparound
▤

Affected Products & Versions

4
google tensorflow>= 2.7.0 and < 2.7.2
google tensorflow>= 2.8.0 and < 2.8.1
google tensorflow>= 2.9.0 and < 2.9.1
google tensorflowall versions
▤

Affected Packages

3
Language-ecosystem packages (from OSV) tied to this CVE, with the version that fixes it - the dependency-level detail NVD doesn’t carry.
PyPI tensorflow MODERATE fixed in 2.7.2
PyPI tensorflow-cpu MODERATE fixed in 2.7.2
PyPI tensorflow-gpu MODERATE fixed in 2.7.2
▣

Scoring & Timeline

5.9
MEDIUM · CVSS v3.1 · security-advisories@github.com
View on NVD
Attack Vector
Network Adjacent Local Physical
Attack Complexity
Low High
Privileges Required
None Low High
User Interaction
None Required
Scope
Unchanged Changed
Confidentiality
None Low High
Integrity
None Low High
Availability
None Low High
Published to NVD16 Sep 2022 · 08:15 PM
CVSS VectorCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
SSVC triage · cisa-vulnrichment
Exploitation
none
Automatable
no
Technical impact
partial
SSVC asks the questions that actually drive patch urgency: is it being exploited, can attacks be automated, and how total is the impact.
⚑

Vendor Advisories

1
suse-csafopenSUSE-SU-2024:12355-1
🔗

References & Sources

3
Source URLs (vendor pages, mailing lists, write-ups). Exploit/PoC links are in their own section above to avoid duplication.
https://github.com/tensorflow/tensorflow/blob/0b6b491d21d6a4eb5fbab1cca565bc1e94ca9543/tensorflow/core/kernels/ragged_range_op.cc#L74-L88Third Party Advisory
https://github.com/tensorflow/tensorflow/commit/37cefa91bee4eace55715eeef43720b958a01192PatchThird Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x989-q2pq-4q5xPatchThird Party Advisory
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