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Detecting Pass The Hash Attacks

ASecurity

Detect Pass-the-Hash attacks by analyzing NTLM authentication patterns, identifying Type 3 logons with NTLM where

31,965 stars
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Added 5/29/2026
securitygosecurity

Security Analysis

A100/100

Scanned 5/29/2026

Install to Claude Code

$npx -y skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-pass-the-hash-attacks --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: detecting-pass-the-hash-attacks
description: Detect Pass-the-Hash attacks by analyzing NTLM authentication patterns, identifying Type 3 logons with NTLM where
  Kerberos is expected, and correlating with credential dumping.
domain: cybersecurity
subdomain: threat-hunting
tags:
- threat-hunting
- mitre-attack
- pass-the-hash
- credential-access
- t1550
- proactive-detection
version: '1.0'
author: mahipal
license: Apache-2.0
d3fend_techniques:
- Token Binding
- Execution Isolation
- Restore Access
- Application Protocol Command Analysis
- Process Termination
nist_csf:
- DE.CM-01
- DE.AE-02
- DE.AE-07
- ID.RA-05
---

# Detecting Pass The Hash Attacks

## When to Use

- When proactively hunting for indicators of detecting pass the hash attacks in the environment
- After threat intelligence indicates active campaigns using these techniques
- During incident response to scope compromise related to these techniques
- When EDR or SIEM alerts trigger on related indicators
- During periodic security assessments and purple team exercises

## Prerequisites

- EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)
- SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)
- Sysmon deployed with comprehensive configuration
- Windows Security Event Log forwarding enabled
- Threat intelligence feeds for IOC correlation

## Workflow

1. **Formulate Hypothesis**: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
2. **Identify Data Sources**: Determine which logs and telemetry are needed to validate or refute the hypothesis.
3. **Execute Queries**: Run detection queries against SIEM and EDR platforms to collect relevant events.
4. **Analyze Results**: Examine query results for anomalies, correlating across multiple data sources.
5. **Validate Findings**: Distinguish true positives from false positives through contextual analysis.
6. **Correlate Activity**: Link findings to broader attack chains and threat actor TTPs.
7. **Document and Report**: Record findings, update detection rules, and recommend response actions.

## Key Concepts

| Concept | Description |
|---------|-------------|
| T1550.002 | Pass the Hash |
| T1550.003 | Pass the Ticket |
| T1078 | Valid Accounts |

## Tools & Systems

| Tool | Purpose |
|------|---------|
| CrowdStrike Falcon | EDR telemetry and threat detection |
| Microsoft Defender for Endpoint | Advanced hunting with KQL |
| Splunk Enterprise | SIEM log analysis with SPL queries |
| Elastic Security | Detection rules and investigation timeline |
| Sysmon | Detailed Windows event monitoring |
| Velociraptor | Endpoint artifact collection and hunting |
| Sigma Rules | Cross-platform detection rule format |

## Common Scenarios

1. **Scenario 1**: Mimikatz sekurlsa::pth with stolen NTLM hash
2. **Scenario 2**: Impacket psexec.py remote execution with hash
3. **Scenario 3**: CrackMapExec hash spraying across hosts
4. **Scenario 4**: WMI lateral movement via pass-the-hash

## Output Format

```
Hunt ID: TH-DETECT-[DATE]-[SEQ]
Technique: T1550.002
Host: [Hostname]
User: [Account context]
Evidence: [Log entries, process trees, network data]
Risk Level: [Critical/High/Medium/Low]
Confidence: [High/Medium/Low]
Recommended Action: [Containment, investigation, monitoring]
```

Attribution

mukul975mukul975
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3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

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