Jira Information Disclosure Scanner
Detects 'Information Disclosure' vulnerability in Jira Unauthenticated Dashboards, which can expose potentially sensitive information through publicly shared dashboards and filters.
Short Info
Level
Informational
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
15 days 22 hours
Scan only one
URL
Toolbox
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Jira is widely used by software development and IT teams as a comprehensive tool for tracking project tasks, bugs, and progress. It is an integral part of the software development lifecycle, enabling teams to organize workflows, manage releases, and ensure quality. Jira is used by organizations ranging from small start-ups to large enterprises for its robust functionality in agile project management. It offers customizable dashboards, boards, and reports to suit various project needs. Users benefit from its integration with numerous other tools and functionalities, enabling a streamlined workflow across development environments. Additionally, its accessible user interface and powerful API support further extend its adaptability in diverse working environments.
The vulnerability identified allows unauthorized users to access shared dashboards and filters within Jira, which can lead to sensitive data exposure. Any shared data could be accessed without authentication if the feature for public sharing is enabled. This issue arises from Jira's flexibility in allowing dashboards to be shared broadly, potentially with unauthenticated users. Such exposure can be especially dangerous if confidential project information, user data, or other privacies are inadvertently shared. This may include internal project notes, user comments, and historical project data that are not meant for public viewing. Misconfigured sharing settings increase the potential risk of data leakage and unintended information dissemination to outside entities.
Technically, the vulnerability is manifest in the Jira instance's endpoint accessible via "/rest/api/2/dashboard" without authentication checks. Parameters such as 'maxResults', 'startAt', and 'dashboards' can inadvertently return details about the shared dashboards if not properly controlled. Moreover, it resembles a scenario where the backend does not sufficiently ensure that an authenticated session is present before divulging these dashboard details. Such weak points within Jira's API could be exploited programmatically by accessing configuration metadata meant for authorized users only, paving the way for data harvesting.
The potential consequences of exploiting this vulnerability include unauthorized data harvesting and a breach of confidentiality that could harm an organization's competitive edge or client privacy. Sensitive project plans or analytics visible through shared dashboards might be revealed to competitors or malicious actors, leading to reputational damage or financial loss. Additionally, users might inadvertently infringe upon data protection laws by allowing unauthorized access to sensitive personal or corporate information, resulting in legal repercussions. Such risks necessitate stringent access controls to mitigate exposure.
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