Cyber Resilience

CVE-2026-25759

XSS in Statamic 6.0.0 – 6.2.3

Published
11 February 2026
Modified
18 February 2026
Patch / advisory
CVSS Score v3.1 8.7
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N
EPSS Score 0.0029 22th percentile
Risk Priority 59 floored blend · peak EPSS

Summary

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

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…

more

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

T1185 Browser Session Hijacking Collection
Adversaries may take advantage of security vulnerabilities and inherent functionality in browser software to change content, modify user-behaviors, and intercept information as part of various browser session hijacking techniques.
T1539 Steal Web Session Cookie Credential Access
An adversary may steal web application or service session cookies and use them to gain access to web applications or Internet services as an authenticated user without needing credentials.
T1659 Content Injection Initial Access
Adversaries may gain access and continuously communicate with victims by injecting malicious content into systems through online network traffic.
T1189 Drive-by Compromise Initial Access
Adversaries may gain access to a system through a user visiting a website over the normal course of browsing.
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-48701Same product: Statamic Statamic
CVE-2023-36828Same product: Statamic Statamic
CVE-2023-25837Shared CWE-79
CVE-2023-22438Shared CWE-79
CVE-2023-27614Shared CWE-79
CVE-2023-47164Shared CWE-79
CVE-2023-49145Shared CWE-79
CVE-2023-47853Shared CWE-79
CVE-2023-28474Shared CWE-79
CVE-2023-37636Shared CWE-79

Affected Assets

statamic
statamic
6.0.0 — 6.2.3

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.1.2
  • V1.3.2

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.

PR.PS-06 mostly match
prevents

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).

PR.PS-02 partial match
prevents

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.

finds

Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.

prevents

Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.

prevents

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.

prevents

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.

prevents

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.

none

Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.

References