CVE-2020-4016 in FishEye
Summary
by MITRE
The /plugins/servlet/jira-blockers/ resource in the crucible-jira-ril plugin in Atlassian Fisheye and Crucible before version 4.8.1 allows remote attackers to get the ID of configured Jira application links via an information disclosure vulnerability.
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Analysis
by VulDB Data Team • 06/02/2020
The vulnerability identified as CVE-2020-4016 represents a critical information disclosure flaw within Atlassian Fisheye and Crucible platforms. This security weakness exists in the crucible-jira-ril plugin and specifically affects versions prior to 4.8.1. The affected resource path /plugins/servlet/jira-blockers/ exposes sensitive configuration data to unauthorized remote attackers who can access the system without authentication. This vulnerability falls under the category of information disclosure as defined by CWE-200, which encompasses weaknesses that allow attackers to gain access to information that should remain hidden or protected.
The technical implementation of this vulnerability stems from improper access controls within the plugin's servlet implementation. When an attacker makes a request to the designated resource path, the system inadvertently returns the identifier of configured Jira application links without requiring proper authentication or authorization checks. This occurs because the servlet does not validate whether the requesting entity has appropriate privileges to access the application link information, creating an unauthorized information disclosure channel. The flaw essentially bypasses normal access control mechanisms that should prevent unauthenticated access to internal system configuration data.
The operational impact of this vulnerability extends beyond simple information disclosure, as it provides attackers with crucial system metadata that can be leveraged for further exploitation. By obtaining the Jira application link IDs, adversaries can gain insights into the integration points between Fisheye/Crucible and Jira systems, potentially enabling them to craft more sophisticated attacks against the connected Jira instances. This information disclosure creates opportunities for attackers to perform reconnaissance activities, map the integration architecture, and possibly exploit other vulnerabilities within the Jira ecosystem that share similar configuration data. The vulnerability aligns with ATT&CK technique T1213.002 for data from information repositories, as it enables extraction of stored application configuration data.
Organizations running affected versions of Atlassian Fisheye and Crucible face significant security risks from this vulnerability. Attackers can use the disclosed information to understand the integration architecture and potentially escalate their attacks against connected systems. The vulnerability demonstrates poor input validation and access control implementation, which are fundamental security principles that should be enforced throughout application development. The information disclosure could lead to additional compromise scenarios where attackers use the exposed application link IDs to target related systems or exploit other integration points. This vulnerability also represents a failure in the principle of least privilege, as the servlet exposes sensitive configuration data without proper authorization checks.
The recommended mitigation strategy involves upgrading to Atlassian Fisheye and Crucible version 4.8.1 or later, which includes patches addressing this information disclosure vulnerability. Organizations should also implement network-level controls such as firewalls and access control lists to restrict access to the affected servlet endpoints. Security teams should conduct thorough audits of their integration configurations to identify and remediate similar access control weaknesses in other components. The vulnerability highlights the importance of regular security updates and continuous monitoring of application components, as well as the need for comprehensive security testing including penetration testing and vulnerability scanning to identify unauthorized information disclosure channels. Organizations should also consider implementing web application firewalls to detect and block malicious requests targeting known vulnerable endpoints, as this type of vulnerability can be exploited through automated scanning tools that specifically look for information disclosure patterns.