CVE-2020-14181 Overview
CVE-2020-14181 is an Information Disclosure vulnerability affecting Atlassian Jira Server and Data Center that allows unauthenticated attackers to enumerate valid usernames through the /ViewUserHover.jspa endpoint. This vulnerability enables attackers to gather reconnaissance data about an organization's user base without requiring any authentication, potentially facilitating subsequent attacks such as credential stuffing, password spraying, or targeted phishing campaigns.
Critical Impact
Unauthenticated attackers can enumerate valid usernames from Jira Server and Data Center instances, enabling targeted credential attacks against identified users.
Affected Products
- Atlassian Jira Server versions before 7.13.6
- Atlassian Jira Server and Data Center versions from 8.0.0 before 8.5.7
- Atlassian Jira Server and Data Center versions from 8.6.0 before 8.12.0
Discovery Timeline
- September 17, 2020 - CVE-2020-14181 published to NVD
- November 21, 2024 - Last updated in NVD database
Technical Details for CVE-2020-14181
Vulnerability Analysis
This Information Disclosure vulnerability (CWE-200) exists in the /ViewUserHover.jspa endpoint of Atlassian Jira Server and Data Center. The endpoint is designed to display user information when hovering over usernames within the Jira interface. However, due to improper access controls, the endpoint responds differently depending on whether a queried username exists in the system, allowing unauthenticated users to determine valid usernames.
When an attacker submits requests to the vulnerable endpoint with different username values, the application's response behavior varies based on whether the user exists. This differential response enables username enumeration at scale, which is particularly concerning for organizations with publicly accessible Jira instances.
Root Cause
The root cause of this vulnerability is insufficient access control validation on the /ViewUserHover.jspa endpoint. The endpoint fails to properly authenticate requests before processing username queries, and it does not implement consistent response handling that would prevent enumeration attacks. The application reveals the existence of user accounts through identifiable differences in response content or behavior.
Attack Vector
The attack vector is network-based and requires no authentication or user interaction. An attacker can exploit this vulnerability remotely by sending HTTP requests to the vulnerable endpoint with target usernames as parameters. The attack can be automated to enumerate large numbers of potential usernames rapidly.
The exploitation process involves:
- Identifying a publicly accessible Jira Server or Data Center instance
- Crafting HTTP GET requests to the /ViewUserHover.jspa endpoint with username parameters
- Analyzing response differences to determine which usernames are valid
- Compiling a list of valid usernames for use in subsequent attacks
The vulnerability requires no special privileges and can be exploited from any network location with access to the Jira instance. Successful enumeration provides attackers with valuable intelligence for conducting password spraying attacks, targeted phishing campaigns, or social engineering attempts against identified users.
Detection Methods for CVE-2020-14181
Indicators of Compromise
- Unusual volume of HTTP requests to the /ViewUserHover.jspa endpoint from a single source
- Sequential or scripted requests containing different username parameters
- Access logs showing repeated queries to the vulnerable endpoint with varied username parameters
- Requests originating from known malicious IP addresses or anonymizing networks
Detection Strategies
- Implement web application firewall (WAF) rules to detect and block bulk enumeration attempts targeting /ViewUserHover.jspa
- Configure rate limiting on authentication-related endpoints to slow enumeration attacks
- Deploy anomaly detection to identify unusual patterns of requests to user lookup endpoints
- Monitor for reconnaissance activity that may precede credential-based attacks
Monitoring Recommendations
- Enable detailed access logging for all requests to Jira Server/Data Center instances
- Alert on sudden spikes in requests to the /ViewUserHover.jspa endpoint
- Track and correlate enumeration attempts with subsequent authentication failures
- Review access logs regularly for patterns consistent with automated enumeration tools
How to Mitigate CVE-2020-14181
Immediate Actions Required
- Upgrade Atlassian Jira Server and Data Center to patched versions immediately
- Restrict network access to Jira instances to authorized users and networks where possible
- Implement web application firewall rules to block suspicious enumeration patterns
- Review access logs for evidence of prior exploitation attempts
Patch Information
Atlassian has released security patches to address this vulnerability. Organizations should upgrade to the following versions or later:
- Version 7.13.6 or later for the 7.x branch
- Version 8.5.7 or later for versions 8.0.0 through 8.5.x
- Version 8.12.0 or later for versions 8.6.0 and above
For complete patch details and download links, refer to the Atlassian JIRA Bug Report. Additional technical details about the vulnerability are available in the Packet Storm Security Report.
Workarounds
- Implement network-level access controls to restrict access to Jira instances from untrusted networks
- Configure reverse proxy or WAF rules to block or rate-limit requests to the /ViewUserHover.jspa endpoint
- Consider implementing VPN requirements for accessing Jira instances until patches can be applied
- Enable additional authentication mechanisms such as multi-factor authentication to mitigate the risk of credential attacks following enumeration
# Example: Block enumeration attempts using iptables rate limiting
# Limit connections to Jira port from single IP to 10 per minute
iptables -A INPUT -p tcp --dport 8080 -m recent --name JIRA_ENUM --set
iptables -A INPUT -p tcp --dport 8080 -m recent --name JIRA_ENUM --update --seconds 60 --hitcount 10 -j DROP
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


