Cyber Resilience

CVE-2022-22538

Medium

Published: 09 February 2022

Published
09 February 2022
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 6.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
EPSS Score 0.0025 48.9th percentile
Risk Priority 13 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-22538 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Sap 3D Visual Enterprise Viewer. Its CVSS base score is 6.5 (Medium).

Operationally, ranked at the 48.9th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Other AI Platforms.

EU & UK References

Vulnerability details

When a user opens a manipulated Adobe Illustrator file format (.ai, ai.x3d) received from untrusted sources in SAP 3D Visual Enterprise Viewer - version 9.0, the application crashes and becomes temporarily unavailable to the user until restart of the application.…

more

The file format details along with their CVE relevant information can be found below.

CWE(s)

AI Security AnalysisAI

AI Category
Other AI Platforms
Risk Domain
N/A
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: ai, ai

Related Threats

Affected Assets

sap
3d visual enterprise viewer
9

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References