CVE-2025-63785
Published: 07 November 2025
Summary
CVE-2025-63785 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Onlook Onlook. Its CVSS base score is 6.1 (Medium).
Operationally, ranked at the 28.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-38263
Vulnerability details
A DOM-based Cross-Site Scripting (XSS) vulnerability exists in the text editor feature of the Onlook web application 0.2.32. This vulnerability occurs because user-supplied input is not properly sanitized before being directly injected into the DOM via innerHTML when editing a…
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text element. An attacker can exploit this to inject malicious HTML and script code, which is then executed within the context of the preview iframe, allowing for the execution of arbitrary scripts in the user's session.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.
Directly implements checks on information inputs to reject invalid data before processing.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.