Jira Default Login Scanner

Jira is a popular project management tool developed by Atlassian, used widely by development teams to plan, track, and release software projects. Self-hosted Jira instances are commonly deployed within organizations seeking control over their data and infrastructure. Jira supports agile project management methodologies and is known for its powerful features, including customizable workflows, bug tracking, and integration with various developer tools. Typically, it is used by teams to manage tasks, collaborate, and streamline project progress. Due to its robust functionalities, Jira has become a valuable asset for managing software development cycles, tracking issues, and ensuring efficient project delivery. The login functionality allows team members to access project dashboards, user assignments, and project updates.

This vulnerability involves detecting valid login attempts on self-hosted Jira instances, highlighting potential credential stuffing attacks. Credential stuffing is a type of brute-force attack where attackers use stolen usernames and passwords to gain unauthorized access to accounts. Detecting login attempts on Jira helps identify potential misconfigurations or security weaknesses that may allow unauthorized access. This detection template checks if valid login attempts are possible, which can expose the Jira instance to unauthorized access. The aim is to identify configurations that may allow attackers to test multiple credential combinations to compromise user accounts.

In technical terms, this vulnerability involves testing Jira’s login endpoint to see if it allows valid credentials to access the instance. The scanner sends a POST request to the `/rest/gadget/1.0/login` endpoint with various username-password combinations. If the response contains `"loginSucceeded":true`, it confirms a valid login attempt, indicating the presence of accessible login functionality. This detection method checks for misconfigurations that may lack proper login protections, making the instance susceptible to credential-based attacks. By simulating login attempts, the scanner identifies potentially vulnerable endpoints that may allow brute-force access to Jira accounts.

Exploitation of this vulnerability can result in unauthorized access to Jira instances, exposing sensitive project information, user assignments, and potentially confidential development tasks. If attackers successfully perform credential stuffing, they may gain access to user accounts, enabling them to view, modify, or delete project data. Such unauthorized access could disrupt project workflows, expose intellectual property, and result in data leakage. Misconfigured login protections increase the risk of unauthorized entry, making it essential to secure the login endpoint against credential-based attacks.

REFERENCES

• https://owasp.org/www-community/attacks/Credential_stuffing