Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:NSummary
CVE-2026-25759 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Statamic Statamic. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 22th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-25759 is a stored cross-site scripting (XSS) vulnerability, classified under CWE-79, affecting Statamic, a Laravel and Git-powered content management system (CMS). The issue exists in versions from 6.0.0 up to but not including 6.2.3, specifically within content titles. It allows authenticated users to inject malicious JavaScript that persists and executes in the context of viewers with higher privileges. The vulnerability carries a CVSS v3.1 base score of 8.7 (AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N), indicating high severity due to its network accessibility, low complexity, and potential for privilege escalation.
An attacker requires an authenticated account with control panel access and content creation permissions to exploit this. By injecting malicious payloads into content titles, the JavaScript executes when higher-privileged users, such as super admins, view the affected content. This can lead to severe outcomes, including the creation of super admin accounts, enabling full compromise of the CMS instance through unauthorized administrative actions.
The vulnerability has been addressed in Statamic version 6.2.3, as detailed in the project's security advisory (GHSA-ff9r-ww9c-43x8), release notes, and the fixing commit (6ed4f65f3387686d6dbd816e9b4f18a8d9736ff6). Security practitioners should upgrade to 6.2.3 or later and review access controls for content creation permissions to mitigate risks.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-6203
Vulnerability Data
Statmatic is a Laravel and Git powered content management system (CMS). From 6.0.0 to before 6.2.3, a stored XSS vulnerability in content titles allows authenticated users with content creation permissions to inject malicious JavaScript that executes when viewed by higher-privileged…
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users. Malicious user must have an account with control panel access and content creation permissions. This vulnerability can be exploited to allow super admin accounts to be created. This has been fixed in 6.2.3.
- 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
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect input neutralization through targeted web-application tests.
Input validation directly enforces neutralization of untrusted data before it reaches web output generation.
Output filtering can catch or sanitize unneutralized script content before it is served to users.
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.