CVE-2025-1647 Overview
CVE-2025-1647 is a Cross-Site Scripting (XSS) vulnerability affecting Bootstrap, one of the most widely used front-end frameworks for web development. This vulnerability stems from improper neutralization of input during web page generation (CWE-79), which allows attackers to inject malicious scripts into web pages viewed by other users. The vulnerability affects Bootstrap versions from 3.4.1 up to (but not including) 4.0.0.
Critical Impact
Successful exploitation could allow attackers to execute arbitrary JavaScript in users' browsers, potentially leading to session hijacking, credential theft, defacement, or malware distribution through affected web applications.
Affected Products
- Bootstrap versions 3.4.1 through versions prior to 4.0.0
- Web applications utilizing vulnerable Bootstrap versions
- Websites and platforms dependent on Bootstrap 3.x components
Discovery Timeline
- 2025-05-15 - CVE-2025-1647 published to NVD
- 2025-06-01 - Last updated in NVD database
Technical Details for CVE-2025-1647
Vulnerability Analysis
This XSS vulnerability exists due to insufficient input sanitization within Bootstrap's handling of user-supplied data during web page generation. When user input is improperly processed and rendered without adequate encoding or escaping, attackers can inject malicious script code that executes in the context of the victim's browser session.
The network-accessible attack vector means exploitation can occur remotely without requiring physical access to the target system. While exploitation requires certain conditions to be met, successful attacks do not require any user privileges or direct user interaction, making this vulnerability particularly concerning for public-facing web applications.
Root Cause
The root cause of CVE-2025-1647 lies in Bootstrap's improper handling of input data during the web page generation process. Specifically, the framework fails to adequately neutralize special characters and script elements in user-controlled input before incorporating that data into rendered HTML content. This lack of proper input validation and output encoding creates an injection point for malicious scripts.
Attack Vector
The attack leverages the network attack vector, allowing remote exploitation of vulnerable Bootstrap implementations. An attacker can craft specially formed input containing malicious JavaScript code that, when processed by the vulnerable Bootstrap component, gets injected into the page content. When other users view the affected page, the injected script executes in their browser context.
The exploitation typically follows this pattern: the attacker identifies an input field or parameter processed by the vulnerable Bootstrap functionality, crafts a payload containing malicious JavaScript, submits this payload through the vulnerable entry point, and the malicious script then executes when other users load the affected page content.
For detailed technical analysis and exploitation scenarios, refer to the HeroDevs CVE-2025-1647 Report.
Detection Methods for CVE-2025-1647
Indicators of Compromise
- Presence of unexpected <script> tags or JavaScript event handlers in web application logs
- Unusual URL parameters containing encoded special characters such as %3Cscript%3E or HTML entities
- User reports of unexpected browser behavior or pop-ups when interacting with Bootstrap-powered forms
- Log entries showing attempts to inject HTML content through input fields
Detection Strategies
- Implement web application firewall (WAF) rules to detect and block common XSS payloads targeting Bootstrap components
- Deploy content security policy (CSP) monitoring to identify unauthorized script execution attempts
- Utilize SentinelOne's application vulnerability scanning to identify Bootstrap versions 3.4.1 through versions before 4.0.0 in your software inventory
- Conduct regular code reviews focusing on Bootstrap component integration and input handling
Monitoring Recommendations
- Enable verbose logging for web server input processing and review for suspicious encoded content
- Monitor client-side JavaScript errors that may indicate blocked XSS attempts via CSP
- Implement real-time alerting on detected XSS patterns in application traffic
- Track Bootstrap version usage across all web properties to maintain vulnerability awareness
How to Mitigate CVE-2025-1647
Immediate Actions Required
- Inventory all web applications using Bootstrap and identify instances running versions 3.4.1 through versions before 4.0.0
- Upgrade affected Bootstrap installations to version 4.0.0 or later where the vulnerability has been addressed
- Implement Content Security Policy (CSP) headers to restrict script execution sources as a defense-in-depth measure
- Deploy web application firewall rules to filter common XSS attack patterns
Patch Information
Organizations should upgrade Bootstrap to version 4.0.0 or later to remediate this vulnerability. For applications that cannot immediately upgrade, applying server-side input validation and output encoding provides a temporary mitigation layer. Review the Debian LTS Security Notification for distribution-specific patch information.
Workarounds
- Implement strict Content Security Policy (CSP) headers to prevent inline script execution and restrict script sources
- Apply server-side input validation to sanitize all user-supplied data before processing with Bootstrap components
- Utilize output encoding libraries to escape special characters in dynamic content before rendering
- Consider using HeroDevs' Never-Ending Support (NES) for extended security support if upgrading Bootstrap is not immediately feasible
# Example CSP header configuration for Apache
# Add to .htaccess or httpd.conf
Header set Content-Security-Policy "default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'; object-src 'none'"
# Example CSP header configuration for Nginx
# Add to server block in nginx.conf
add_header Content-Security-Policy "default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'; object-src 'none'" always;
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


