Home/CVE/TensorFlow is an open source platform for machine learning. The `ScatterNd` function takes an input argument that determ
CVE

CVE-2022-35939

TensorFlow is an open source platform for machine learning. The `ScatterNd` function takes an input argument that determ

TensorFlow is an open source platform for machine learning. The ScatterNd function takes an input argument that determines the indices of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash.

We have patched the issue in GitHub commit b4d4b4cb019bd7240a52daa4ba61e3cc814f0384. 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.

HIGH · CVSS 7 EPSS 0.00231
Schedule remediation
  • CVSS base score ≥ 7.0
Sigma rules0 YARA rules0
⬡

Weakness Classification

CWE-787Out-of-bounds Write
▤

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 HIGH fixed in 2.7.2
PyPI tensorflow-cpu HIGH fixed in 2.7.2
PyPI tensorflow-gpu HIGH fixed in 2.7.2
▣

Scoring & Timeline

7
HIGH · 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:L/I:L/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/266558ac4c1f361e9a178ee9d3f0ce2e648ae499/tensorflow/lite/kernels/internal/reference/reference_ops.h#L659-L698Third Party Advisory
https://github.com/tensorflow/tensorflow/commit/b4d4b4cb019bd7240a52daa4ba61e3cc814f0384PatchThird Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-ffjm-4qwc-7cmfPatchThird Party Advisory
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