Cyber Resilience

CVE-2025-1513

XSS in Contest-Gallery Contest Gallery ≤ 26.0.1

Published
28 February 2025
Modified
06 March 2025
Patch / advisory
CVSS Score v3.1 7.2
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N
EPSS Score 0.0027 19th percentile
Risk Priority 54 floored blend · peak EPSS

Summary

CVE-2025-1513 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Contest-Gallery Contest Gallery. Its CVSS base score is 7.2 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 19th 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-2025-1513 is a stored cross-site scripting (XSS) vulnerability, classified under CWE-79, in the Photos, Files, YouTube, Twitter, Instagram, TikTok, Ecommerce Contest Gallery – Upload, Vote, Sell via PayPal or Stripe, Social Share Buttons plugin for WordPress. It affects all versions up to and including 26.0.0.1 due to insufficient input sanitization and output escaping in the Name and Comment fields when users comment on photo gallery entries. This flaw enables the injection of arbitrary web scripts into pages, with a CVSS v3.1 base score of 7.2 (AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N), indicating high severity due to its network accessibility, low complexity, lack of privileges or user interaction required, and changed scope.

Unauthenticated attackers can exploit the vulnerability by submitting malicious scripts via the Name or Comment fields during photo gallery comments. The injected scripts are then stored persistently and execute in the browser context of any user who views the affected page, potentially compromising confidentiality and integrity through actions like stealing cookies, session tokens, or sensitive data displayed on the page.

Advisories reference a patch in the WordPress plugin trac repository at changeset 3245199 for the contest-gallery repository, indicating remediation through an updated plugin version. Wordfence threat intelligence provides further details on the vulnerability at their dedicated page.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

The Photos, Files, YouTube, Twitter, Instagram, TikTok, Ecommerce Contest Gallery – Upload, Vote, Sell via PayPal or Stripe, Social Share Buttons plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the Name and Comment field when commenting on photo…

more

gallery entries in all versions up to, and including, 26.0.0.1 due to insufficient input sanitization and output escaping. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page.

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-2023-28784Same product: Contest-Gallery Contest Gallery
CVE-2023-5307Same product: Contest-Gallery Contest Gallery
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

contest-gallery
contest gallery
≤ 26.0.1

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