Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:NSummary
CVE-2026-33172 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 25th 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-2026-33172 is a stored cross-site scripting (XSS) vulnerability, classified under CWE-79, affecting Statamic, a Laravel and Git-powered content management system (CMS). In versions prior to 5.73.14 and 6.7.0, the flaw exists in the handling of SVG asset reuploads, where SVG sanitization can be bypassed. This enables the injection of malicious JavaScript payloads into SVG files. 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 attack complexity, and potential for significant confidentiality and integrity impacts with changed scope.
An authenticated attacker with asset upload permissions can exploit this vulnerability by reuploading a specially crafted SVG asset containing unsanitized JavaScript. When another user views the malicious SVG asset, the injected JavaScript executes in the context of the viewer's browser session. This could lead to session hijacking, data theft, or further compromise of the victim's account, depending on the privileges of the targeted user.
The Statamic security advisory at https://github.com/statamic/cms/security/advisories/GHSA-7rcv-55mj-chg7 details the issue and confirms patches in versions 5.73.14 and 6.7.0, which address the SVG sanitization bypass. Security practitioners should upgrade affected Statamic installations immediately and review asset upload permissions to limit exposure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-13824
Vulnerability Data
Statamic is a Laravel and Git powered content management system (CMS). Prior to versions 5.73.14 and 6.7.0, a stored XSS vulnerability in SVG asset reuploads allows authenticated users with asset upload permissions to bypass SVG sanitization and inject malicious JavaScript…
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that executes when the asset is viewed. This has been fixed in 5.73.14 and 6.7.0.
- 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.