CVE-2008-5809 in Access Analyzer CGI
Summary
by MITRE
futomi CGI Cafe Access Analyzer CGI Standard 4.0.1 and earlier and Access Analyzer CGI Professional 4.11.3 and earlier use a predictable session id, which makes it easier for remote attackers to hijack sessions, and obtain sensitive information about analysis results, via a modified id.
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Analysis
by VulDB Data Team • 11/27/2017
The vulnerability identified as CVE-2008-5809 affects futomi CGI Cafe Access Analyzer versions 4.0.1 and earlier, as well as Access Analyzer CGI Professional versions 4.11.3 and earlier. This security flaw resides in the session management implementation of these web applications designed for analyzing website access data. The core issue stems from the predictable nature of session identifiers generated by the software, creating a significant security risk for users of these analytics tools.
The technical flaw manifests through the use of weak random number generation or deterministic algorithms in session ID creation. When session identifiers are predictable, attackers can easily guess valid session tokens and impersonate legitimate users within the application. This vulnerability falls under the CWE-330 weakness category, specifically addressing the use of insufficiently random values in security-critical contexts. The predictable session IDs allow remote attackers to construct valid session tokens and gain unauthorized access to the analysis results and sensitive information stored within the application's session state.
The operational impact of this vulnerability extends beyond simple session hijacking, as it provides attackers with access to detailed website traffic analysis data, user behavior patterns, and potentially sensitive business intelligence. Attackers can exploit this weakness to monitor access patterns, identify vulnerable pages, and gather information about website visitors. This access could enable further attacks against the underlying website or compromise the privacy of users whose data is being analyzed by the system. The vulnerability is particularly concerning for organizations using these tools to analyze sensitive or confidential website traffic data.
Mitigation strategies for this vulnerability require immediate implementation of strong session management practices. Organizations should upgrade to patched versions of the affected software where available, or implement custom solutions using cryptographically secure random number generators for session ID creation. The recommended approach aligns with the ATT&CK framework's mitigation guidance for session management weaknesses, emphasizing the importance of using unpredictable session identifiers and implementing proper session lifecycle management. Additional protective measures include implementing session timeout mechanisms, using secure HTTP-only cookies, and monitoring for suspicious session activity patterns that may indicate unauthorized access attempts.