CVE-2021-26723 Overview
CVE-2021-26723 is a Cross-Site Scripting (XSS) vulnerability affecting Jenzabar 9.2.x through 9.2.2, a higher education enterprise resource planning (ERP) software platform. The vulnerability exists in the search functionality at the /ics endpoint, where the query parameter fails to properly sanitize user-supplied input before rendering it in the browser. This allows attackers to inject malicious scripts that execute in the context of authenticated user sessions.
Critical Impact
Attackers can steal session cookies, perform actions on behalf of authenticated users, redirect users to malicious sites, or deface web pages within the Jenzabar portal used by educational institutions.
Affected Products
- Jenzabar 9.2.x through 9.2.2
- Jenzabar ERP systems with the ICS (Internet Campus Solution) module enabled
- Educational institutions using vulnerable Jenzabar deployments
Discovery Timeline
- 2021-02-06 - CVE-2021-26723 published to NVD
- 2024-11-21 - Last updated in NVD database
Technical Details for CVE-2021-26723
Vulnerability Analysis
This reflected XSS vulnerability occurs when the Jenzabar application processes search queries without adequate input validation or output encoding. When a user navigates to a URL containing a malicious payload in the query parameter, the application reflects the unsanitized input directly into the HTML response. The vulnerability requires user interaction—a victim must click on a crafted link or visit a page controlled by the attacker.
The scope is changed (S:C in the CVSS vector), meaning the vulnerable component and impacted component are different. In this case, the Jenzabar web application is vulnerable, but the impact extends to the user's browser session and potentially other resources accessible to the authenticated user.
Root Cause
The root cause is improper input validation (CWE-79) in the search functionality. The application fails to sanitize or encode special characters in the query parameter before incorporating user input into the HTML response. This allows HTML and JavaScript code to be injected and executed in the victim's browser context.
Attack Vector
The attack is network-based and requires no authentication on the part of the attacker. An attacker crafts a malicious URL containing JavaScript payload in the search query parameter at /ics?tool=search&query=. When a victim (typically an authenticated student, faculty member, or administrator) clicks the link, the malicious script executes with their session privileges.
The exploitation scenario typically involves:
- The attacker identifies the vulnerable search endpoint at /ics?tool=search&query=
- A malicious JavaScript payload is crafted and URL-encoded in the query parameter
- The attacker distributes the malicious link via email, social media, or compromised websites
- When victims click the link, the script executes and can steal session tokens, perform unauthorized actions, or redirect users to phishing pages
For detailed exploit code and technical analysis, refer to the GitHub Gist Exploit Code and the Medium Analysis of CVE-2021-26723.
Detection Methods for CVE-2021-26723
Indicators of Compromise
- HTTP requests to /ics endpoint containing tool=search&query= with suspicious characters such as <script>, javascript:, onerror=, or encoded variants
- Unusual JavaScript execution patterns in web application logs originating from search queries
- Session hijacking indicators such as authentication tokens being accessed from unexpected IP addresses
- User reports of unexpected redirects or pop-ups when using the Jenzabar search functionality
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block common XSS patterns in the query parameter
- Enable detailed logging on the Jenzabar application server to capture all requests to the /ics endpoint
- Deploy browser-based security controls like Content Security Policy (CSP) headers to prevent inline script execution
- Use SentinelOne Singularity XDR to detect anomalous web request patterns and potential exploitation attempts
Monitoring Recommendations
- Monitor web server access logs for requests containing script tags or JavaScript event handlers in query strings
- Set up alerts for multiple failed or suspicious requests from single IP addresses targeting the search functionality
- Review authentication logs for session anomalies that may indicate successful XSS-based session theft
- Implement real-time monitoring of outbound network connections from user browsers that may indicate data exfiltration
How to Mitigate CVE-2021-26723
Immediate Actions Required
- Update Jenzabar to the latest patched version beyond 9.2.2 that addresses this vulnerability
- Implement input validation on the /ics endpoint to reject or sanitize special characters in the query parameter
- Deploy Content Security Policy (CSP) headers to restrict script execution to trusted sources
- Consider temporarily disabling the search functionality if patching is not immediately possible
Patch Information
Jenzabar has addressed this vulnerability in versions released after 9.2.2. Organizations running affected versions should contact Jenzabar support or visit the Jenzabar Blog Post for the latest security updates and patching instructions. Prioritize applying the vendor-provided patch as the primary remediation measure.
Additional technical details are available at Packet Storm XSS Vulnerability.
Workarounds
- Implement a reverse proxy or WAF rule to filter XSS payloads from the query parameter before they reach the application
- Add server-side output encoding to ensure all user-supplied data is HTML-encoded before rendering
- Deploy browser security headers including X-XSS-Protection: 1; mode=block and strict CSP policies
- Educate users to avoid clicking on untrusted links, especially those containing long or encoded URL parameters
# Example Apache ModSecurity WAF rule to block XSS in query parameter
SecRule ARGS:query "@detectXSS" \
"id:1001,\
phase:2,\
deny,\
status:403,\
log,\
msg:'Potential XSS attack detected in search query',\
tag:'CVE-2021-26723'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


