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Introduction:
Traditional identity security relying on usernames, passwords, and MFA is no longer sufficient. Attackers in 2026 are actively targeting sessions, tokens, OAuth consent grants, device registrations, workload identities, and even AI agent credentials. This article breaks down the most dangerous identity-centric attacks, the exact tool stack required for defence, and step‑by‑step policies and commands to harden your environment against session hijacking and privilege escalation.
Learning Objectives:
- Identify and mitigate token theft, OAuth consent phishing, and device registration abuse.
- Implement Linux and Windows commands to audit session tokens, workload identities, and conditional access policies.
- Build a defence-in-depth identity stack using SIEM, identity threat detection, and privileged access management (PAM).
You Should Know:
1. Understanding Modern Identity Attacks & Initial Reconnaissance
Attackers no longer crack passwords; they steal what’s already authenticated. Common 2026 identity attacks include:
– Session token hijacking – Extracting cookies or bearer tokens from browser storage or memory.
– OAuth consent phishing – Tricking users into granting permissions to malicious multi‑tenant apps.
– Device registration abuse – Enrolling attacker‑controlled devices into Azure AD/Entra ID to bypass conditional access.
– Workload identity compromise – Stealing service principal secrets or managed identity tokens from compromised CI/CD pipelines.
– AI agent identity exploitation – Abusing API keys or OAuth tokens assigned to automated AI assistants.
Step‑by‑step guide for initial audit (Blue Team perspective):
On Windows (PowerShell as admin), check for suspicious token signing certificates and device registrations:
List all device registration objects in Entra ID (requires AzureAD module)
Connect-AzureAD
Get-AzureADDevice -All $true | Where-Object {$_.ApproximateLastLogonTimeStamp -gt (Get-Date).AddDays(-7)}
Enumerate OAuth applications with high privileges
Get-AzureADServicePrincipal -All $true | Where-Object {$_.AppRoles -match "admin|full_access"}
On Linux (using `jq` and `curl` against Microsoft Graph API):
Extract bearer token from local browser storage (Firefox example)
grep -oP '"access_token":"\K[^"]+' ~/.mozilla/firefox/.default/storage/default/httpslogin.microsoftonline.com
Query Graph API for registered devices
curl -X GET "https://graph.microsoft.com/v1.0/devices" -H "Authorization: Bearer $TOKEN" | jq '.value[] | {deviceId, accountEnabled, trustType}'
What this does: Identifies recently active devices and over‑privileged OAuth apps that could be used for consent phishing. Run weekly to catch rogue registrations.
2. Detecting & Blocking Token Replay Attacks
Token replay occurs when an attacker intercepts a valid token (e.g., via man‑in‑the‑middle or browser extension) and uses it from another IP. Defence requires token binding and continuous access evaluation.
Step‑by‑step guide to enable token protection in Entra ID:
- Enable Token Protection for Conditional Access policies (requires P2 licensing).
- Configure Continuous Access Evaluation (CAE) to revoke tokens within minutes of policy changes.
3. Monitor for token replay using sign‑in logs.
Linux command to analyse sign‑in logs (using Azure CLI):
az login --identity if using managed identity az monitor activity-log list --query "[?contains(operationName,'Sign-in') && properties.status.errorCode=='50074']" --output table Error 50074 = "Strong authentication required" – possible replay attempt
Windows PowerShell to detect token reuse from disparate locations:
Fetch sign-in logs via Graph
$logs = Invoke-MgGraphRequest -Method GET -Uri "https://graph.microsoft.com/v1.0/auditLogs/signIns?`$filter=status/errorCode eq 50074&`$top=100"
$logs.value | Where-Object {$<em>.clientAppUsed -eq "Browser" -and $</em>.ipAddress -ne $_.correlationId} | Format-Table createdDateTime, userPrincipalName, ipAddress
Mitigation: Deploy Primary Refresh Token (PRT) binding and enforce Microsoft Entra Certificate-Based Authentication for high‑privilege accounts.
3. Hardening OAuth Consent & Workload Identities
OAuth consent phishing is rampant – attackers register apps like “Google Drive Sync” that request `Mail.Read` and Files.ReadWrite. Workload identities (service principals, managed identities) are often over‑permissioned.
Step‑by‑step guide to lock down OAuth and workload identities:
Step 1: Restrict user consent
In Entra Admin Center → Enterprise applications → Consent and permissions → Set “Do not allow user consent” and enable admin consent workflow.
Step 2: Validate workload identity permissions using Azure CLI:
List all service principals and their assigned roles
az ad sp list --all --query "[].{DisplayName:displayName, AppId:appId, Roles:appRoles[].value}" --output table
Find over‑permissioned managed identities
az identity list --query "[?contains(principalId, 'system')]"
Then check role assignments
az role assignment list --assignee <principalId> --include-inherited
Step 3: Remove unused credentials
PowerShell: Find service principal credentials older than 90 days
Get-AzureADServicePrincipal -All $true | ForEach-Object {
$creds = Get-AzureADServicePrincipalKeyCredential -ObjectId $<em>.ObjectId
$creds | Where-Object {$</em>.EndDateTime -lt (Get-Date).AddDays(90)} | Remove-AzureADServicePrincipalKeyCredential -KeyId $_.KeyId
}
Windows command to audit OAuth grants (using `oauth2c` tool):
oauth2c.exe list --issuer https://login.microsoftonline.com/common
4. Defending AI Agent Identities & API Keys
AI agents (Copilot, custom bots, LLM plugins) often hold long‑lived API keys with broad permissions. Attackers exfiltrate these from `.env` files, CI logs, or memory dumps.
Step‑by‑step guide to secure AI identities:
Step 1: Rotate keys automatically
Use Azure Key Vault with auto‑rotation:
Create a key rotation policy (7 days) az keyvault secret set-rotation-policy --vault-name myAIvault --name ai-api-key --rotation-policy "daysToExpire=7" --notify-time 2
Step 2: Monitor for AI identity anomalies with Microsoft Sentinel
Query for unusual API call volumes:
AIDiagnosticLogs | where OperationName == "ChatCompletion" | summarize Count = count() by CallerIdentity, bin(TimeGenerated, 1h) | where Count > 1000
Step 3: Linux command to find exposed AI keys in code repos:
Scan for OpenAI, Anthropic, or Azure AI keys
grep -r --include=".env" --include=".json" --include=".yaml" -E "sk-[a-zA-Z0-9]{32,}|xai-[a-zA-Z0-9]+|AZURE_AI_KEY" /path/to/repo
Use truffleHog for deeper scanning
docker run -v $(pwd):/pwd trufflesecurity/trufflehog:latest filesystem /pwd --only-verified
- Policy Governance: Conditional Access & Just-In-Time (JIT) Access
Identity‑centric defence fails without policies that enforce least privilege, session lifetime limits, and risk‑based step‑up.
Step‑by‑step guide to implement critical policies in Entra ID:
- Session lifetime policy – Force reauthentication every 2 hours for privileged roles.
- Sign‑in frequency – Set to “Every time” for access to sensitive apps.
- Risk‑based policies – Require password change and MFA reset on medium/high user risk.
- JIT access for workload identities – Use Azure AD Privileged Identity Management (PIM) for service principals.
PowerShell to enforce sign‑in frequency:
$policy = New-AzureADMSConditionalAccessPolicy -DisplayName "Privileged Session Limit" -State "enabled"
$conditions = New-Object -TypeName Microsoft.Open.MSGraph.Model.ConditionalAccessConditionSet
$conditions.SignInRiskLevels = @("high", "medium")
$sessionControl = New-Object -TypeName Microsoft.Open.MSGraph.Model.ConditionalAccessSessionControl
$sessionControl.SignInFrequency = New-Object -TypeName Microsoft.Open.MSGraph.Model.SignInFrequency
$sessionControl.SignInFrequency.Value = 2
$sessionControl.SignInFrequency.Type = "hours"
$policy.Conditions = $conditions
$policy.GrantControls.SessionControls = $sessionControl
Set-AzureADMSConditionalAccessPolicy -PolicyId $policy.Id
Linux audit of effective policies (using `jq` on exported JSON):
Export policies from Graph API and filter for JIT enforcement
curl -s -X GET "https://graph.microsoft.com/v1.0/identity/conditionalAccess/policies" -H "Authorization: Bearer $TOKEN" | jq '.value[] | select(.displayName | contains("JIT"))'
What Undercode Say:
- Identity is the new perimeter. In 2026, token theft and OAuth abuse are more common than password breaches. You cannot rely on MFA alone – continuous access evaluation and token binding are mandatory.
- Automate detection, don’t just collect logs. Use the commands above to proactively hunt for suspicious device registrations, OAuth grants, and AI key exposures. Manual reviews fail at cloud scale.
- Workload identities are the blind spot. Most organisations audit user accounts weekly but never review service principal permissions. Treat every workload identity as a potential pivot point.
The shift to identity‑centric defence requires tool consolidation: SIEM (Sentinel/Splunk), Identity Threat Detection and Response (ITDR), and PIM. The poster series mentioned by Izzmier Izzuddin Zulkepli correctly highlights that policies must evolve faster than attacks – implement session lifetime limits and risk‑based step‑up today, not after a breach.
Prediction:
By Q4 2026, we will see the first major data breach caused exclusively by compromised AI agent identities – where an LLM’s API key with database access is exfiltrated via a prompt injection attack. Organisations that do not implement workload identity just‑in‑time access and key rotation will face regulatory fines. Simultaneously, Microsoft and Google will standardise token binding across all OAuth flows, making token replay largely obsolete by 2027. The winners will be those who integrate identity detection directly into their CI/CD pipelines, scanning for over‑permissioned service principals before deployment.
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