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Overview

The jira listusers command enumerates all Atlassian users accessible in a Jira instance, providing email addresses, display names, account IDs, and account status. This reconnaissance command is critical for user enumeration, building target lists for phishing campaigns, obtaining user IDs for @mentions in issues and comments, and mapping organizational structure.

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Syntax

.\AtlasReaper.exe jira listusers [options]

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Required Parameters

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--url
string
required
The base URL of the target Jira instance (e.g., https://company.atlassian.net)

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Optional Parameters

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--cookie
string
Authentication cookie (cloud.session.token or tenant.session.token). Required for accessing user information in most instances
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--full
boolean
default:"false"
Return comprehensive user information including display name, user ID, and active status. When false, only displays email addresses
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--output
string
Save command output to a specified file

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Examples

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Basic User Enumeration

List all users with email addresses only: 
.\AtlasReaper.exe jira listusers \
  --url https://company.atlassian.net \
  --cookie $cookie

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Comprehensive User Information

List all users with full details: 
.\AtlasReaper.exe jira listusers \
  --url https://company.atlassian.net \
  --full \
  --cookie $cookie

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Save User List to File

Export user listing for offline analysis: 
.\AtlasReaper.exe jira listusers \
  --url https://company.atlassian.net \
  --full \
  --output jira_users.txt \
  --cookie $cookie

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Build Phishing Target List

Extract email addresses for phishing campaign: 
.\AtlasReaper.exe jira listusers \
  --url https://company.atlassian.net \
  --output phishing_targets.txt \
  --cookie $cookie

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Use Cases

  • Red Team
  • Blue Team

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Offensive Security Applications

  • Phishing Target Lists: Build email lists for phishing and social engineering campaigns
  • User ID Collection: Obtain account IDs for @mentions in createissue and addcomment attacks
  • Organizational Mapping: Understand company structure through email domains and naming conventions
  • Password Spraying: Generate username lists for password spraying attacks
  • Social Engineering: Identify high-value targets based on email patterns (executives, admins)
  • Credential Validation: Verify compromised credentials against known user list
  • Active User Detection: Identify active users for targeted attacks (using --full)
  • Email Pattern Discovery: Learn organizational email format for generating additional targets

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Output

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Default Output (Email Only)

When --full is not specified, returns sorted email addresses: 
User Email: admin@company.com

User Email: alice.smith@company.com

User Email: bob.jones@company.com

User Email: charlie.wilson@company.com

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Full Output (With —full Flag)

When --full is specified, returns comprehensive user information: 
User Name : Alice Smith
User Id   : 5d9e8c7f2a3b1c0d4e5f6789
Active    : True
User Email: alice.smith@company.com

User Name : Bob Jones
User Id   : 6e0f9d8g3b4c2d1e5f6g7890
Active    : True
User Email: bob.jones@company.com

User Name : Charlie Wilson (Deactivated)
User Id   : 7f1g0e9h4c5d3e2f6g7h8901
Active    : False
User Email: charlie.wilson@company.com

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Output Information

Basic mode:
  • User Email: Email address of each user (sorted alphabetically)
Full mode (--full):
  • User Name: Display name of the user
  • User Id: Atlassian account ID (use this for @mentions with --at parameter)
  • Active: Whether the account is currently active (True/False)
  • User Email: Email address

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Detection Considerations

Detection IndicatorsSecurity teams should monitor for:
  • User enumeration requests to /rest/api/3/users/search
  • Large numbers of paginated user listing requests (200 users per page)
  • User enumeration from unusual IP addresses or geographic locations
  • User listing outside normal business hours
  • Enumeration from accounts that don’t typically access Jira
  • Anonymous user enumeration attempts
  • Correlation with subsequent phishing campaigns targeting listed users
  • Correlation with password spraying attacks
  • User listing shortly after credential compromise
  • Repeated user listing requests (reconnaissance activity)

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Jira Audit Log Entries

This command generates the following audit log events:
  • User search/enumeration operations may be logged
  • API access to user endpoints
  • Includes: User ID (requester), timestamp, IP address, user agent

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Network Indicators

  • HTTP GET requests to /rest/api/3/users/search?maxResults=200&startAt={offset}
  • Multiple sequential requests (increments of 200) until all users are retrieved
  • Pattern: startAt=0, startAt=200, startAt=400, etc.
  • Large response sizes containing user data

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OPSEC Considerations

Operational Security TipsTo reduce detection risk when using this command:
  1. Timing: Execute during business hours when legitimate Jira access is common
  2. Single Execution: Only enumerate users once and save results (use --output)
  3. Account Context: Use cookies from accounts that may legitimately need user information
  4. Rate Limiting: The tool automatically paginates; be aware this generates multiple requests
  5. Delayed Use: Don’t immediately use enumerated data (space out phishing/spraying attacks)
  6. IP Considerations: Be aware of geographic IP inconsistencies
  7. Correlation Prevention: Avoid enumerating users immediately before phishing campaigns
  8. Anonymous Restrictions: Anonymous user enumeration typically disabled or very limited
  9. Data Handling: Securely handle exported user lists containing PII
  10. Operational Use: Use enumerated data judiciously to avoid pattern detection

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Enumeration Behavior

  • The tool automatically paginates through all users in batches of 200
  • Enumeration continues until fewer than 200 users are returned (indicating the last page)
  • Output is sorted alphabetically by email address for easier analysis
  • Users without email addresses are excluded from results

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User ID Usage

User IDs obtained with --full can be used with:
  • jira createissue --at {userId} - Mention user in new issues
  • jira addcomment --at {userId} - Mention user in comments
Example user ID: 5d9e8c7f2a3b1c0d4e5f6789
  • jira createissue - Create issues with user mentions (use --at with user IDs from this command)
  • jira addcomment - Add comments with user mentions (use --at with user IDs)
  • jira listprojects - List projects to understand organizational structure
  • jira listissues - List issues showing creator and assignee information