TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite

Description

Impact

The ScatterNd function takes an input argument that determines the indices of 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.

Patches

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.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Hui Peng from Baidu Security.

Basic information

Type
reviewed
Severity
high
Advisory on GitHub
Open advisory ↗
Repository advisory
Open repository advisory ↗
Source code
Browse source ↗
Published (advisory)
2022-09-16 21:04:23 UTC
Updated
2023-01-28 05:03:01 UTC
GitHub reviewed
2022-09-16 21:04:23 UTC
NVD published
2022-09-16

EPSS Score

Score Percentile
0.23% 45.63%

CVSS Scores

Base score Version Severity Vector
7.0 3.1
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:H)
Even with access, the exploit needs extra luck, timing, or a fussy environment to actually work.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:L)
Some sensitive info could get out, but not a total data dump.
Integrity (I:L)
Attackers could change some data, but it’s limited—not everything goes.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.

Identifiers

CWEs

CWE id Name
CWE-787 Out-of-bounds Write

Affected packages (9)

Vulnerable version ranges and first patched releases as published by GitHub.

Ecosystem Package Vulnerable range First patched Vulnerable functions
pip tensorflow < 2.7.2 2.7.2
pip tensorflow >= 2.8.0, < 2.8.1 2.8.1
pip tensorflow >= 2.9.0, < 2.9.1 2.9.1
pip tensorflow-cpu < 2.7.2 2.7.2
pip tensorflow-cpu >= 2.8.0, < 2.8.1 2.8.1
pip tensorflow-cpu >= 2.9.0, < 2.9.1 2.9.1
pip tensorflow-gpu < 2.7.2 2.7.2
pip tensorflow-gpu >= 2.8.0, < 2.8.1 2.8.1
pip tensorflow-gpu >= 2.9.0, < 2.9.1 2.9.1

References

cvelogic Threat Intelligence