CVE-2025-32670: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Mark Parnell Spark GF Failed Submissions
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Mark Parnell Spark GF Failed Submissions spark-gf-failed-submissions allows Reflected XSS.This issue affects Spark GF Failed Submissions: from n/a through <= 1.3.5.
AI Analysis
Technical Summary
The Mark Parnell Spark GF Failed Submissions plugin versions up to 1.3.5 suffer from a reflected cross-site scripting vulnerability due to improper input neutralization during web page generation. This allows attackers to inject malicious scripts that execute when a user interacts with crafted input, potentially leading to information disclosure, session hijacking, or other impacts. The CVSS 3.1 score of 7.1 reflects network attack vector, low attack complexity, no privileges required, user interaction required, and impacts on confidentiality, integrity, and availability. No patch or vendor advisory is currently provided, and the product is not a cloud service.
Potential Impact
Successful exploitation of this vulnerability can lead to execution of arbitrary scripts in the context of the victim's browser, potentially resulting in limited confidentiality loss, integrity compromise, and availability disruption. The reflected XSS nature requires user interaction to trigger the malicious payload. There are no reports of active exploitation in the wild.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should exercise caution when interacting with untrusted input and consider implementing web application firewall (WAF) rules to detect and block reflected XSS attempts targeting this plugin. Monitor vendor channels for updates or patches addressing this vulnerability.
CVE-2025-32670: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Mark Parnell Spark GF Failed Submissions
Description
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Mark Parnell Spark GF Failed Submissions spark-gf-failed-submissions allows Reflected XSS.This issue affects Spark GF Failed Submissions: from n/a through <= 1.3.5.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The Mark Parnell Spark GF Failed Submissions plugin versions up to 1.3.5 suffer from a reflected cross-site scripting vulnerability due to improper input neutralization during web page generation. This allows attackers to inject malicious scripts that execute when a user interacts with crafted input, potentially leading to information disclosure, session hijacking, or other impacts. The CVSS 3.1 score of 7.1 reflects network attack vector, low attack complexity, no privileges required, user interaction required, and impacts on confidentiality, integrity, and availability. No patch or vendor advisory is currently provided, and the product is not a cloud service.
Potential Impact
Successful exploitation of this vulnerability can lead to execution of arbitrary scripts in the context of the victim's browser, potentially resulting in limited confidentiality loss, integrity compromise, and availability disruption. The reflected XSS nature requires user interaction to trigger the malicious payload. There are no reports of active exploitation in the wild.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should exercise caution when interacting with untrusted input and consider implementing web application firewall (WAF) rules to detect and block reflected XSS attempts targeting this plugin. Monitor vendor channels for updates or patches addressing this vulnerability.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Patchstack
- Date Reserved
- 2025-04-09T11:21:18.307Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 69cd73ede6bfc5ba1def4173
Added to database: 4/1/2026, 7:37:17 PM
Last enriched: 5/1/2026, 1:17:44 PM
Last updated: 5/21/2026, 7:13:59 PM
Views: 17
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