detecting-azure-service-principal-abuse▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Detect and investigate Azure service principal abuse including privilege escalation, credential compromise, admin consent bypass, and unauthorized enumeration in Microsoft Entra ID environments.
| name | detecting-azure-service-principal-abuse |
| description | Detect and investigate Azure service principal abuse including privilege escalation, credential compromise, admin consent bypass, and unauthorized enumeration in Microsoft Entra ID environments. |
| domain | cybersecurity |
| subdomain | cloud-security |
| tags | - azure - entra-id - service-principal - privilege-escalation - credential-abuse - detection - splunk - sentinel |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| d3fend_techniques | - Token Binding - Restore Access - Application Protocol Command Analysis - Reissue Credential - Network Isolation |
| nist_csf | - PR.IR-01 - ID.AM-08 - GV.SC-06 - DE.CM-01 |
Detecting Azure Service Principal Abuse
Overview
Azure service principals are identity objects used by applications, services, and automation tools to access Azure resources. Attackers exploit service principals for privilege escalation, lateral movement, and persistent access. Key abuse patterns include: adding credentials to existing principals, assigning privileged roles, bypassing admin consent, and enumerating service principals for attack paths. Application ownership grants the ability to manage credentials and configure permissions, creating hidden privilege escalation paths.
When to Use
- When investigating security incidents that require detecting azure service principal abuse
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Azure subscription with Microsoft Entra ID P2 license
- Access to Azure AD Audit Logs and Sign-in Logs
- Microsoft Sentinel or Splunk for SIEM-based detection
- Microsoft Graph API permissions for investigation
- Global Reader or Security Reader role minimum
Key Abuse Patterns
1. New Credentials Added to Service Principal
Attackers add new client secrets or certificates to gain persistent access:
Detection Query (KQL - Sentinel):
AuditLogs
| where OperationName has "Add service principal credentials"
or OperationName has "Update application - Certificates and secrets management"
| extend InitiatedBy = tostring(InitiatedBy.user.userPrincipalName)
| extend TargetSP = tostring(TargetResources[0].displayName)
| extend TargetSPId = tostring(TargetResources[0].id)
| project TimeGenerated, InitiatedBy, OperationName, TargetSP, TargetSPId
| sort by TimeGenerated desc
Detection Query (SPL - Splunk):
index=azure sourcetype="azure:aad:audit"
operationName="Add service principal credentials"
OR operationName="Update application*Certificates and secrets*"
| stats count by initiatedBy.user.userPrincipalName, targetResources{}.displayName, _time
| sort -_time
2. Privileged Role Assignment to Service Principal
AuditLogs
| where OperationName == "Add member to role"
| extend RoleName = tostring(TargetResources[0].modifiedProperties[1].newValue)
| where RoleName has_any ("Global Administrator", "Application Administrator",
"Privileged Role Administrator", "Cloud Application Administrator")
| extend TargetSP = tostring(TargetResources[0].displayName)
| extend InitiatedBy = tostring(InitiatedBy.user.userPrincipalName)
| project TimeGenerated, InitiatedBy, TargetSP, RoleName, OperationName
3. Service Principal Enumeration Detection
MicrosoftGraphActivityLogs
| where RequestMethod == "GET"
| where RequestUri has "/servicePrincipals"
| summarize RequestCount = count() by UserAgent, IPAddress, bin(TimeGenerated, 1h)
| where RequestCount > 10
| sort by RequestCount desc
4. Admin Consent Bypass
AuditLogs
| where OperationName == "Consent to application"
| extend ConsentType = tostring(TargetResources[0].modifiedProperties[4].newValue)
| where ConsentType has "AllPrincipals"
| extend AppName = tostring(TargetResources[0].displayName)
| extend InitiatedBy = tostring(InitiatedBy.user.userPrincipalName)
| project TimeGenerated, InitiatedBy, AppName, ConsentType
5. OAuth App Permissions Escalation
AuditLogs
| where OperationName == "Add app role assignment to service principal"
| extend AppRoleValue = tostring(TargetResources[0].modifiedProperties[1].newValue)
| where AppRoleValue has_any ("RoleManagement.ReadWrite.Directory",
"Application.ReadWrite.All", "AppRoleAssignment.ReadWrite.All",
"Directory.ReadWrite.All", "Mail.ReadWrite")
| extend TargetApp = tostring(TargetResources[0].displayName)
| project TimeGenerated, TargetApp, AppRoleValue, CorrelationId
Investigation Procedures
Step 1: Identify compromised service principal
# List service principals with recently added credentials
Connect-MgGraph -Scopes "Application.Read.All"
$suspiciousSPs = Get-MgServicePrincipal -All | ForEach-Object {
$sp = $_
$creds = Get-MgServicePrincipalPasswordCredential -ServicePrincipalId $sp.Id
$recentCreds = $creds | Where-Object { $_.StartDateTime -gt (Get-Date).AddDays(-7) }
if ($recentCreds) {
[PSCustomObject]@{
DisplayName = $sp.DisplayName
AppId = $sp.AppId
ObjectId = $sp.Id
NewCredsCount = $recentCreds.Count
LatestCredAdded = ($recentCreds | Sort-Object StartDateTime -Descending | Select-Object -First 1).StartDateTime
}
}
}
$suspiciousSPs | Sort-Object LatestCredAdded -Descending
Step 2: Review service principal role assignments
# Check role assignments for a specific service principal
$spId = "<service-principal-object-id>"
Get-MgServicePrincipalAppRoleAssignment -ServicePrincipalId $spId | ForEach-Object {
$resource = Get-MgServicePrincipal -ServicePrincipalId $_.ResourceId
[PSCustomObject]@{
AppRoleId = $_.AppRoleId
ResourceDisplayName = $resource.DisplayName
CreatedDateTime = $_.CreatedDateTime
}
}
Step 3: Check application ownership
# List owners of all applications (ownership = credential control)
Get-MgApplication -All | ForEach-Object {
$app = $_
$owners = Get-MgApplicationOwner -ApplicationId $app.Id
foreach ($owner in $owners) {
[PSCustomObject]@{
AppName = $app.DisplayName
AppId = $app.AppId
OwnerUPN = $owner.AdditionalProperties.userPrincipalName
OwnerType = $owner.AdditionalProperties.'@odata.type'
}
}
} | Where-Object { $_.OwnerUPN -ne $null }
Step 4: Review sign-in activity
AADServicePrincipalSignInLogs
| where ServicePrincipalId == "<target-sp-id>"
| project TimeGenerated, ServicePrincipalName, IPAddress, Location,
ResourceDisplayName, Status.errorCode
| sort by TimeGenerated desc
Preventive Controls
Restrict application registration
# Disable user ability to register applications
Update-MgPolicyAuthorizationPolicy -DefaultUserRolePermissions @{
AllowedToCreateApps = $false
}
Configure app consent policies
# Require admin approval for all app consent requests
New-MgPolicyPermissionGrantPolicy -Id "admin-only-consent" `
-DisplayName "Admin Only Consent" `
-Description "Only admins can consent to applications"
Monitor with Microsoft Sentinel Analytics Rules
Create analytics rules for:
- New service principal credential additions
- Privileged role assignments to service principals
- Bulk service principal enumeration
- Admin consent grants to unknown applications
- Service principal sign-ins from unusual locations
MITRE ATT&CK Mapping
| Technique | ID | Description |
|---|---|---|
| Account Manipulation: Additional Cloud Credentials | T1098.001 | Adding credentials to service principal |
| Valid Accounts: Cloud Accounts | T1078.004 | Using compromised service principal |
| Account Discovery: Cloud Account | T1087.004 | Enumerating service principals |
| Steal Application Access Token | T1528 | OAuth token theft via service principal |
References
- Splunk Detection: Azure AD Service Principal Abuse
- Semperis: Service Principal Ownership Abuse in Entra ID
- MITRE ATT&CK Cloud Matrix
- Microsoft: Securing service principals in Entra ID
How to use detecting-azure-service-principal-abuse on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add detecting-azure-service-principal-abuse
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches detecting-azure-service-principal-abuse from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate detecting-azure-service-principal-abuse. Access the skill through slash commands (e.g., /detecting-azure-service-principal-abuse) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★60 reviews- ★★★★★Chaitanya Patil· Dec 28, 2024
Solid pick for teams standardizing on skills: detecting-azure-service-principal-abuse is focused, and the summary matches what you get after install.
- ★★★★★Tariq Sanchez· Dec 28, 2024
I recommend detecting-azure-service-principal-abuse for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anaya Kim· Dec 20, 2024
We added detecting-azure-service-principal-abuse from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Jin Kim· Dec 16, 2024
detecting-azure-service-principal-abuse has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kabir Brown· Dec 12, 2024
Useful defaults in detecting-azure-service-principal-abuse — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kabir Li· Dec 8, 2024
detecting-azure-service-principal-abuse reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Piyush G· Nov 19, 2024
We added detecting-azure-service-principal-abuse from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Anaya Huang· Nov 15, 2024
Keeps context tight: detecting-azure-service-principal-abuse is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Isabella Khanna· Nov 11, 2024
Registry listing for detecting-azure-service-principal-abuse matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Jin Park· Nov 11, 2024
Solid pick for teams standardizing on skills: detecting-azure-service-principal-abuse is focused, and the summary matches what you get after install.
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