CVE-2022-35939 | Out of bounds write in `scatter_nd` op in TensorFlow Lite

TensorFlow is an open source platform for machine learning. 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. 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.

Published: 2022-09-16 Last update: 2026-06-17 Assigner: [email protected] Source: [email protected]

Conclusion & alert: CVE-2022-35939 is rated Low Risk (39.9/100): CVSS High severity, with low exploitation likelihood (EPSS 0.42%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.

Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.

Exploit prediction scoring system (EPSS) score for CVE-2022-35939

EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).

# Date Old EPSS score New EPSS score Delta (New - Old)
1 2026-06-15 0.22% 0.42% +0.20%
2 2025-12-02 0.37% 0.22% -0.15%
3 2025-11-21 0.37%

Full EPSS history (12 records total)

Common vulnerability scoring system (CVSS) metrics for CVE-2022-35939

CVSS metrics for this CVE.

Base score Version Severity Vector Exploitability Impact Score source
7.0 3.1 HIGH
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.
2.2 4.7 [email protected]
9.8 3.1 CRITICAL
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/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:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
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:H)
Serious risk that confidential data gets exposed in a big way.
Integrity (I:H)
They could widely tamper with or forge data—trust in the data is badly hurt.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
3.9 5.9 [email protected]

Weakness enumeration for CVE-2022-35939

GitHub Security Advisory for CVE-2022-35939

GHSA-ffjm-4qwc-7cmf · Severity: high · Ecosystem: pip — TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite

OS Trackers for CVE-2022-35939

vendor priority summary link
debian unimportant CVE-2022-35939 unimportant priority: Debian including 1 source packages (tensorflow), 2 status rows across 2 suites (forky, sid): resolved 2. https://security-tracker.debian.org/tracker/CVE-2022-35939

Affected software / configurations for CVE-2022-35939

Vendor Product Version Raw CPE
google tensorflow >= 2.7.0, < 2.7.2 cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
google tensorflow >= 2.8.0, < 2.8.1 cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
google tensorflow >= 2.9.0, < 2.9.1 cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
google tensorflow 2.10 cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:*
google tensorflow 2.10 cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:*
google tensorflow 2.10 cpe:2.3:a:google:tensorflow:2.10:rc2:*:*:*:*:*:*
google tensorflow 2.10 cpe:2.3:a:google:tensorflow:2.10:rc3:*:*:*:*:*:*

References for CVE-2022-35939

cvelogic Threat Intelligence