Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:NSummary
CVE-2024-13918 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Laravel Framework. Its CVSS base score is 8.0 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 45th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
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-2024-13918 is a reflected cross-site scripting vulnerability (CWE-79) affecting the Laravel framework in versions 11.9.0 through 11.35.1. The issue arises from improper encoding of request parameters when displayed on the debug-mode error page, enabling malicious scripts to be reflected back to users. It carries a CVSS v3.1 base score of 8.0 (AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:N) and was published on 2025-03-10.
Attackers can exploit this over the network without requiring privileges, though it demands high complexity and user interaction, such as clicking a crafted link. By inducing an error in debug mode, an attacker can inject and reflect XSS payloads via request parameters, achieving high impacts on confidentiality and integrity with a changed scope, potentially allowing session hijacking or arbitrary script execution in the victim's browser.
Patches are available in Laravel framework version 11.36.0, addressing the flaw through pull request #53869 on GitHub. Further mitigation details appear in the SBA Research advisory (SBA-ADV-20241209-01) and the oss-security mailing list discussion from March 10, 2025.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-54196
Vulnerability Data
The Laravel framework versions between 11.9.0 and 11.35.1 are susceptible to reflected cross-site scripting due to an improper encoding of request parameters in the debug-mode error page.
- 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.