CVE-2007-6465 in ganglia
Summary
by MITRE
Multiple cross-site scripting (XSS) vulnerabilities in ganglia-web in Ganglia before 3.0.6 allow remote attackers to inject arbitrary web script or HTML via the (1) c and (2) h parameters to (a) web/host_gmetrics.php; the (3) G, (4) me, (5) x, (6) n, (7) v, (8) l, (9) vl, and (10) st parameters to (b) web/graph.php; and the (11) c, (12) G, (13) h, (14) r, (15) m, (16) s, (17) cr, (18) hc, (19) sh, (20) p, (21) t, (22) jr, (23) js, (24) gw, (25) z, and (26) gs parameters to (c) web/get_context.php. NOTE: some of these details are obtained from third party information.
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Analysis
by VulDB Data Team • 09/02/2017
The vulnerability described in CVE-2007-6465 represents a critical cross-site scripting weakness affecting the Ganglia monitoring web interface version 3.0.5 and earlier. This issue resides within the ganglia-web component of the Ganglia system, which is widely used for distributed system monitoring and performance tracking across large-scale computing environments. The vulnerability stems from insufficient input validation and sanitization within multiple web scripts that process user-supplied parameters, creating opportunities for malicious actors to inject arbitrary web scripts or HTML content into the application's response. The affected parameters span across three distinct files: web/host_gmetrics.php, web/graph.php, and web/get_context.php, indicating a systemic flaw in the web application's parameter handling mechanisms.
The technical exploitation of this vulnerability occurs through manipulation of specific HTTP parameters that are processed by the affected web scripts. In web/host_gmetrics.php, parameters c and h are susceptible to XSS attacks, while web/graph.php contains eight vulnerable parameters including G, me, x, n, v, l, vl, and st. The web/get_context.php script presents the most extensive attack surface with twenty-six vulnerable parameters covering c, G, h, r, m, s, cr, hc, sh, p, t, jr, js, gw, z, and gs. These parameters are typically used for specifying context information, metric names, host names, time ranges, and various display parameters within the monitoring interface. The vulnerability exists because the application fails to properly escape or validate user input before incorporating it into dynamically generated HTML responses, allowing attackers to inject malicious JavaScript code that executes in the context of authenticated users' browsers.
The operational impact of this vulnerability extends beyond simple data theft or defacement, as it enables attackers to gain persistent access to monitoring interfaces and potentially compromise entire distributed systems. An attacker could leverage this vulnerability to steal session cookies, redirect users to malicious sites, or execute arbitrary commands within the context of the victim's browser session. This poses significant risks to system administrators who rely on Ganglia for critical infrastructure monitoring, as successful exploitation could lead to unauthorized access to system metrics, performance data, and potentially sensitive operational information. The vulnerability is particularly concerning in enterprise environments where Ganglia is used for monitoring production systems, as it could enable attackers to gather intelligence about system configurations, resource utilization patterns, and network topology.
Organizations should implement multiple layers of defense to mitigate this vulnerability, beginning with immediate patching to upgrade to Ganglia version 3.0.6 or later where the XSS issues have been resolved. Input validation and output encoding should be strengthened throughout the application to ensure that all user-supplied parameters are properly sanitized before being rendered in HTML responses. The implementation of Content Security Policy headers can provide additional protection against script injection attacks by restricting the sources from which scripts can be loaded. According to CWE guidelines, this vulnerability maps to CWE-79 which specifically addresses cross-site scripting flaws, while ATT&CK framework classification would place this under T1059.007 for scripting and T1566 for spearphishing with malicious links. Regular security audits of web applications and input validation testing should be conducted to identify similar vulnerabilities in other components of the monitoring infrastructure.