CVE-2024-30194
XSS in Sunshinephotocart Sunshine Photo Cart ≤ 3.1.2
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:LSummary
CVE-2024-30194 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Sunshinephotocart Sunshine Photo Cart. Its CVSS base score is 7.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked in the top 49% of CVEs by exploit likelihood; 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-2024-30194 is a reflected cross-site scripting vulnerability (CWE-79) in the Sunshine Photo Cart WordPress plugin. It stems from improper neutralization of input during web page generation and affects all versions through 3.1.1. The flaw carries a CVSS 3.1 score of 7.1 with a network attack vector, low complexity, and no required privileges.
An unauthenticated remote attacker can supply a crafted request that is reflected back to a victim user, allowing execution of arbitrary script in the victim's browser context. Successful exploitation can result in theft of session tokens or other sensitive data, as well as limited impact to confidentiality, integrity, and availability within the affected site.
The referenced Patchstack advisories identify the issue in the sunshine-photo-cart plugin and indicate that the vulnerability is resolved in versions newer than 3.1.1.
EPSS for the CVE rose from a low baseline to a recorded peak of 0.1868 (current value 0.1149), indicating measurable post-disclosure exploitation interest that warrants renewed attention from defenders.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-28126
Vulnerability Data
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in sunshinephotocart Sunshine Photo Cart sunshine-photo-cart.This issue affects Sunshine Photo Cart: from n/a through <= 3.1.1.
- 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.