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low·Product Based Web Vulnerabilities·Updated Oct 8, 2024

Atlassian Jira Unauthenticated Project Categories Information Disclosure Scanner

Detects 'Information Disclosure' vulnerability in Jira Unauthenticated Project Categories.

Est. Time~10 seconds
Scan TypeSingle Scan
Targetsurl
CostFree
2.1k
Times Used
continuous scan runs
3.4k
Continuously Checked
assets under CS
0
Vulnerabilities Found
confirmed findings
References
Detail

Atlassian Jira is widely used in corporate settings for project and issue tracking. It is leveraged by project managers, developers, and other professionals needing to track the progress of various projects and issues. The platform offers a range of integrations with other tools, making it highly adaptable to different organizational needs. It supports Agile methodologies and offers reporting features for stakeholders. Jira is commonly hosted on company servers or on cloud platforms, offering versatile deployment options. Its intuitive interface and robust tracking capabilities make it a popular choice for teams aiming to improve project visibility and control.

The Information Disclosure vulnerability in Atlassian Jira allows unauthorized users to access sensitive project category information via the Jira API. This can lead to exposure of project classifications that are meant to be internal. The vulnerability arises when certain API endpoints are accessed without proper authentication checks. Attackers can exploit this to gather insights into the structure and categorization of projects within an organization. This type of vulnerability highlights the importance of securing API endpoints to prevent unauthorized data exposure. Proper mitigation strategies are essential to safeguard sensitive information from exposure through these endpoints.

Technical exploration of the vulnerability reveals that the Jira API's project category endpoint is susceptible to unauthorized access. The vulnerable endpoint can be accessed via a simple HTTP GET request, retrieving information such as project category names and descriptions. The primary issue is the lack of authentication checks for this API call, which allows anyone with the URL to gain access. Furthermore, the response headers often include tokens like "atlassian.xsrf.token" that can potentially be used for deeper attacks. Only certain API versions might be affected, so pinpointing these is crucial in the analysis. Remediation should focus on enforcing strict authentication and validation for API endpoints to prevent further exploitation.

If exploited, this vulnerability can allow attackers to map out an organization's project management structure. This mapping can assist in further, more targeted cyber-attacks. Exposing project categories can also lead to potential leaks of sensitive project information, affecting business operations and competitiveness. Furthermore, it may erode trust in Jira as a secure project management tool, prompting concerns in clients and users. Such data leaks can also lead to regulatory penalties if sensitive data becomes public. Organizations utilizing Jira must ensure data integrity by adequately applying security patches and using hardened security configurations.

Solution Advice
  • Ensure that all Jira API endpoints are properly authenticated to prevent unauthorized access.
  • Regularly update Jira to the latest version to patch known vulnerabilities.
  • Implement access control measures to restrict who can reach internal endpoints.
  • Conduct routine security audits to identify and address potential security weaknesses.
  • Consider using WAF or other security tools to monitor and control API requests.

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Atlassian Jira Unauthenticated Project Categories Information Disclosure Scanner | S4E