Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:NSummary
CVE-2023-23927 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Craftcms Craft Cms. Its CVSS base score is 6.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked in the top 47% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Craft CMS is affected by a stored cross-site scripting vulnerability tracked as CVE-2023-23927. An attacker can supply a malicious payload in the label name or instruction field of an entry type; the payload is subsequently rendered without proper escaping inside the Quick Post widget on the administrative dashboard. The issue was present in versions prior to 4.3.7 and carries a CVSS 3.1 score of 6.1 with CWE-79.
Because the attack requires only network access and a victim to view the dashboard, an unauthenticated or low-privileged user who can create or edit entry types can cause script execution in the context of an administrative session. Successful exploitation yields the ability to read or modify limited dashboard content and potentially perform actions on behalf of the logged-in administrator.
The official Craft CMS changelog and the GitHub Security Advisory GHSA-qcrj-6ffc-v7hq state that the flaw is resolved in version 4.3.7; administrators are advised to upgrade promptly and to review any custom entry-type definitions that may contain untrusted label or instruction text.
EPSS for the CVE rose from a low baseline to a peak of 0.0955 on 2026-01-13 before receding to the current value of 0.0275, indicating a period of increased exploitation interest after public disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-1079
Vulnerability Data
Craft is a platform for creating digital experiences. When you insert a payload inside a label name or instruction of an entry type, an cross-site scripting (XSS) happens in the quick post widget on the admin dashboard. This issue has…
more
been fixed in version 4.3.7.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.1.2V1.3.2
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.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target introduction of XSS via coding standards/testing (mostly), yet the single broad outcome leaves many specific neutralization vectors unaddressed (partial).
Patching and EOL replacement can remediate known XSS instances in libraries or frameworks (partial) but do nothing to enforce input neutralization in application code (none).
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.
Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.
Operational indicators of compromise for web-application attacks can be incorporated into WAF or input-filtering rules, lowering the likelihood that unsanitized data reaches the browser.
Requiring language-specific secure-coding standards and automated scanning during the SDLC catches missing output encoding or improper neutralization of untrusted data before the software reaches production.
Secure-coding standards, SAST scans and removal of insecure code samples together eliminate the failure to neutralize script content that produces cross-site scripting flaws.
Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.