CVE-2022-41883 | Out of bounds segmentation fault due to unequal op inputs in Tensorflow

Exp

TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Published: 2022-11-18 Last update: 2026-06-17 Assigner: [email protected] Source: [email protected]
NVD Status：Modified，CVE State: published
View at NVD, CVE.org, EUVD

CVE-2022-41883 is rated Exploit Available (51.7/100): CVSS Medium severity, with low exploitation likelihood (EPSS 0.35%). 1 public exploit reference(s) are indexed (Exploit-DB). Public exploits are available—assess exposure, apply mitigations, and prioritize patching.

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

Public exploit references (Exploit-DB) for CVE-2022-41883

EDB-ID Source Kind Published Link
— nvd_ref exploit_tag Exploit-DB ↗

Exploit prediction scoring system (EPSS) score for CVE-2022-41883

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 0.16% 0.35% +0.19%
2 2025-11-30 0.11% 0.16% +0.05%
3 2025-11-21 — 0.11% —

Full EPSS history (9 records total)

Common vulnerability scoring system (CVSS) metrics for CVE-2022-41883

CVSS metrics for this CVE.

Base score Version Severity Vector Exploitability Impact Score source
6.8 3.1 MEDIUM
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/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:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:L)
A normal user session is enough; they don’t have to be admin.
User interaction (UI:R)
A real person has to do something—click, install, enable—otherwise it doesn’t land.
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.
 2.1 4.7 [email protected]
7.5 3.1 HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/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:N)
Doesn’t really leak secrets in a meaningful way.
Integrity (I:N)
Data isn’t meaningfully altered or forged.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
 3.9 3.6 [email protected]

Weakness enumeration for CVE-2022-41883

GitHub Security Advisory for CVE-2022-41883

GHSA-w58w-79xv-6vcj · Severity: medium · Ecosystem: pip — Out of bounds segmentation fault due to unequal op inputs in Tensorflow

OS Trackers for CVE-2022-41883

vendor priority summary link
debian unimportant CVE-2022-41883 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-2022-41883

Affected software / configurations for CVE-2022-41883

Vendor Product Version Raw CPE
google tensorflow 2.10.0 cpe:2.3:a:google:tensorflow:2.10.0:-:*:*:*:*:*:*
google tensorflow 2.10.0 cpe:2.3:a:google:tensorflow:2.10.0:rc0:*:*:*:*:*:*
google tensorflow 2.10.0 cpe:2.3:a:google:tensorflow:2.10.0:rc1:*:*:*:*:*:*
google tensorflow 2.10.0 cpe:2.3:a:google:tensorflow:2.10.0:rc2:*:*:*:*:*:*
google tensorflow 2.10.0 cpe:2.3:a:google:tensorflow:2.10.0:rc3:*:*:*:*:*:*

References for CVE-2022-41883

cvelogic Threat Intelligence