CVE-2022-30278 Overview
A cross-site scripting (XSS) vulnerability exists in Black Duck Hub's embedded MadCap Flare documentation files. The vulnerability stems from improper validation of user-supplied input to MadCap Flare's framework embedded within Black Duck Hub's Help Documentation system. An unauthenticated remote attacker could exploit this vulnerability by convincing a user to click a malicious link designed to pass crafted input to the interface. Successful exploitation could allow attackers to execute arbitrary scripts in the context of the victim's browser session, potentially gaining access to sensitive browser-based information including session tokens and authentication credentials.
Critical Impact
Successful exploitation allows attackers to conduct cross-site scripting attacks and gain access to sensitive browser-based information, potentially compromising user sessions and confidential data within the Black Duck Hub environment.
Affected Products
- Synopsys Black Duck Hub (all versions prior to patched release)
Discovery Timeline
- May 10, 2022 - CVE CVE-2022-30278 published to NVD
- November 21, 2024 - Last updated in NVD database
Technical Details for CVE-2022-30278
Vulnerability Analysis
This vulnerability is classified as CWE-79 (Improper Neutralization of Input During Web Page Generation), commonly known as Cross-Site Scripting (XSS). The root issue lies in the MadCap Flare documentation framework embedded within Black Duck Hub's Help Documentation feature. The framework fails to properly sanitize user-supplied input before rendering it in the browser, creating an injection point for malicious scripts.
The attack requires user interaction—specifically, the victim must click a crafted link containing malicious JavaScript payload. When the vulnerable documentation page processes this input, the malicious script executes within the user's browser session under the security context of the Black Duck Hub application. This network-accessible vulnerability requires no authentication to exploit, though user interaction is necessary for successful attacks.
Root Cause
The vulnerability originates from insufficient input validation and output encoding within MadCap Flare's documentation framework as integrated into Black Duck Hub. User-controllable data passed to the Help Documentation interface is not properly sanitized before being reflected back to the browser, allowing injection of arbitrary JavaScript code. The lack of proper HTML entity encoding and Content Security Policy enforcement enables the reflected XSS attack pattern.
Attack Vector
The attack follows a reflected XSS pattern where an attacker constructs a malicious URL containing JavaScript payload targeting the vulnerable documentation endpoint. The attacker must then use social engineering techniques to convince a victim user to click the crafted link—typically via phishing emails, malicious websites, or compromised forums. When the victim clicks the link while authenticated to Black Duck Hub, the malicious script executes with the victim's session privileges.
The attacker could leverage this access to steal session cookies, capture keystrokes, redirect users to phishing pages, or perform actions within Black Duck Hub on behalf of the victim. Given that Black Duck Hub is a software composition analysis platform often used in enterprise environments, compromised sessions could expose sensitive information about an organization's software supply chain and security posture.
Detection Methods for CVE-2022-30278
Indicators of Compromise
- Unusual URL patterns in Black Duck Hub Help Documentation containing encoded JavaScript or HTML tags
- Browser console errors indicating blocked or executed inline scripts on documentation pages
- Anomalous network requests originating from documentation pages to external domains
- User reports of unexpected browser behavior when accessing Help Documentation
Detection Strategies
- Monitor web application firewall (WAF) logs for XSS attack signatures targeting Black Duck Hub documentation endpoints
- Implement Content Security Policy (CSP) violation reporting to detect script injection attempts
- Review HTTP access logs for documentation URLs containing suspicious parameters or encoded payloads
- Deploy browser-based security extensions that alert on potential XSS execution
Monitoring Recommendations
- Enable detailed logging for the Black Duck Hub Help Documentation module
- Configure SIEM alerts for patterns matching reflected XSS payloads in URL parameters
- Monitor for abnormal user session activity following documentation page access
- Track CSP violation reports to identify attempted exploitation
How to Mitigate CVE-2022-30278
Immediate Actions Required
- Review the Synopsys Security Advisory for specific patch information
- Implement web application firewall rules to filter XSS payloads targeting documentation endpoints
- Educate users about the risks of clicking untrusted links, particularly those pointing to documentation pages
- Consider temporarily restricting access to the Help Documentation feature if patching is delayed
Patch Information
Synopsys has released security updates to address this vulnerability. Organizations running Black Duck Hub should review the official advisory for detailed patch information and upgrade instructions. The vendor advisory is available at the Synopsys Software Security Blog.
Workarounds
- Deploy a Content Security Policy (CSP) header that restricts inline script execution and limits script sources
- Configure WAF rules to sanitize or block requests containing script tags and JavaScript event handlers
- Restrict access to the Help Documentation feature to trusted internal networks only
- Implement browser security headers including X-XSS-Protection and X-Content-Type-Options
Organizations should prioritize applying the vendor patch as the permanent solution, using these workarounds only as temporary mitigation measures until updates can be deployed.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


