CVE-2025-2544
Published: 05 April 2025
Summary
CVE-2025-2544 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Wordpress (inferred from references). Its CVSS base score is 6.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique SVG Smuggling (T1027.017); ranked in the top 37.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Other Platforms; in the Other ATLAS/OWASP Terms risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-10020
Vulnerability details
The AI Content Pipelines plugin for WordPress is vulnerable to Stored Cross-Site Scripting via SVG File uploads in all versions up to, and including, 1.6 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers,…
more
with Author-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses the SVG file.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability allows authenticated attackers to upload unsanitized SVG files containing malicious scripts, enabling SVG smuggling for obfuscation (T1027.017), arbitrary JavaScript execution when accessed (T1059.007), and exploitation of the public-facing WordPress plugin (T1190).
Affected Assets
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.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.