detecting-oauth-token-theft
Detect and respond to OAuth token theft and replay in Microsoft Entra ID (Azure AD), covering access token theft, refresh token replay, Primary Refresh Token…
Skill by mukul975
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: cloud, security, marketing
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
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- Install scripts
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- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/detecting-oauth-token-theft
What's inside
- Skill name
detecting-oauth-token-theft- Description
- Detect and respond to OAuth token theft and replay in Microsoft Entra ID (Azure AD), covering access token theft, refresh token replay, Primary Refresh Token (PRT) abuse, pass-the-cookie attacks, and Token Protection conditional access policies. Use for impossible-travel or anomalous token-usage alerts, suspected session hijacking, sign-in log analysis, or configuring token-binding defenses in Azure/M365.
- License
- Apache-2.0
- Instructions
- 250 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- LICENSE
- SKILL.md
- api-reference.md · references/
- agent.py · scripts/
SKILL.md (first lines)
# Detecting OAuth Token Theft
## When to Use
- Investigating alerts for impossible travel or anomalous token usage in Microsoft Entra ID
- Responding to a suspected session hijacking or pass-the-cookie attack
- Configuring proactive defenses against OAuth token theft in an Azure/M365 environment
- Detecting OAuth device code phishing campaigns that bypass MFA
- Analyzing sign-in logs for token replay indicators
- Implementing Token Protection conditional access policies to bind tokens to devices
**Do not use** for on-premises Kerberos ticket attacks (pass-the-ticket, golden ticket); use Active Directory-specific investigation techniques for those scenarios.
## Prerequisites
- Microsoft Entra ID P2 license (required for Identity Protection risk detections and conditional access)
- Global Administrator or Security Administrator role in the Entra admin center
- Microsoft Defender for Cloud Apps (MDCA) license for session anomaly detection
- Access to Entra ID Sign-in Logs and Audit Logs (requires Diagnostic Settings configured to Log Analytics or Sentinel)
- Familiarity with OAuth 2.0 authorization flows (authorization code, device code, client credentials)
- Microsoft Sentinel or equivalent SIEM ingesting Entra ID sign-in and audit logs
## Workflow
### Step 1: Understand the Token Theft Attack Surface
Identify which token types are at risk and how they are stolen:
```
Token Type | Lifetime | Theft Vector | Impact
----------------------|-------------|----------------------------------|------------------
Access Token | 60-90 min | Memory dump, proxy interception | API access for token lifetime
Refresh Token | Up to 90 days| Browser cookie theft, malware | Persistent access, new access tokens
Primary Refresh Token | Session-based| Mimikatz, AADInternals, malware | Full SSO to all M365/Azure apps
Session Cookie | Varies | XSS, browser exploit, AitM proxy | Full session hijacking
Device Code Token | 15 min auth | Phishing (device code flow abuse)| Attacker gets refresh token via social engineering
```
Common attack techniques:
- **AitM Phishing (Adversary-in-the-Middle)**: Attacker proxies the legitimate login page via tools like Evilginx2, capturing session cookies and tokens after the user completes MFA
- **Device Code Phishing**: Attacker generates a device code, sends it to the victim via email/Teams, victim authenticates, attacker receives the token
- **PRT Extraction**: Attacker with local admin on a device extracts the Primary Refresh Token using Mimikatz (`sekurlsa::cloudap`) or AADInternals
- **Browser Cookie Theft**: Malware or infostealer exfiltrates browser cookies containing session tokens
### Step 2: Configure Entra ID Sign-in Risk Detection
Enable Identity Protection to flag anomalous token usage:
```
Entra Admin Center > Protection > Identity Protection > Risk Detections
Key risk detections for token theft:
- Anomalous Token : Token has unusual characteristics (claim anomalies)
- Token Issuer Anomaly : Token issued by an unusual token issuer
- Unfamiliar Sign-in : Sign-in from a location not seen before for the user
- Impossible Travel : Sign-ins from geographically distant locations in impossible time
- Malicious IP Address : Sign-in from a known malicious IP
- Suspicious Browser : Sign-in from a suspicious or attacker-controlled browser
```
Configure risk-based conditional access:
```
Entra Admin Center > Protection > Conditional Access > New Policy
Policy Name: "Block High-Risk Sign-ins - Token Theft Protection"
Assignments:
Users: All users (exclude break-glass accounts)
Cloud Apps: All cloud apps
Conditions:
Sign-in Risk: High
Grant:
Block access
Policy Name: "Require MFA for Medium-Risk Sign-ins"
Assignments:
Users: All users
Cloud Apps: All cloud apps
Conditions:
Sign-in Risk: Medium
Grant:
Require multifactor authentication
Require password change
```
### Step 3: Enable Token Protection (Preview)
Configure Token Protection to bind sign-in session tokens to the device:
```
Entra Admin Center > Protection > Conditional Access > New Policy
Policy Name: "Enforce Token Protection for Desktop Sessions"
Assignments:
Users: All users (start with a pilot group)
Cloud Apps: Office 365 Exchange Online, Office 365 SharePoint Online
Conditions:
Device Platforms: Windows
Session:
Require token protection for sign-in sessions (Preview): Enabled
Grant:
Require device to be marked as compliant
OR Require Hybrid Azure AD joined device
```
Token Protection ensures that access tokens are cryptographically bound to the device's Trusted Platform Module (TPM). If an attacker steals a token and replays it from a different device, the token is rejected because the proof-of-possession key does not match.
### Step 4: Detect Token Replay in Sign-in Logs
Query Entra sign-in logs for indicators of token theft:
```kusto
// KQL query for Microsoft Sentinel or Log Analytics
// Detect sign-ins where the token was issued in one location and used in another
SigninLogs
| where TimeGenerated > ago(7d)
| where RiskDetail contains "token" or RiskEventTypes_V2 has "anomalousToken"
| project TimeGenerated, UserPrincipalName, IPAddress, Location,
RiskDetail, RiskLevelDuringSignIn, AppDisplayName,From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.
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Signals
- Stars
- 34,941
- Forks
- 4,256
- Open issues
- 24
- Last commit (this folder)
- Aug 2, 2026 (2 months ago)
- Last release
- Jun 22, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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detecting-oauth-token-theft skill. Agent Mart. https://agentmart.dev/skills/mukul975-detecting-oauth-token-theft (last updated 2026-10-24)