Use when hunt for Volume Shadow Copy deletion activity that indicates
Scanned 9/8/2026
Install to Claude Code
npx -y skills add oyi77/1ai-skills --skill hunting-for-shadow-copy-deletion --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: hunting-for-shadow-copy-deletion
description: Use when hunt for Volume Shadow Copy deletion activity that indicates
ransomware preparation or anti-forensics by monitoring vssadmin, wmic, and PowerShell
shadow copy commands. Use when hunting for volume shadow copy deletion activity
that indicates ransomware.
domain: cybersecurity
tags:
- threat-hunting
- mitre-attack
- shadow-copy
- ransomware
- anti-forensics
- t1490
- proactive-detection
subdomain: threat-hunting
version: '1.0'
author: oyi77
license: Apache-2.0
d3fend_techniques:
- Platform Hardening
- Restore Object
- Restore Configuration
- Restore Software
- Software Update
nist_csf:
- DE.CM-01
- DE.AE-02
- DE.AE-07
- ID.RA-05
category: cybersecurity
---
# Hunting For Shadow Copy Deletion
## Overview
Cybersecurity skill for hunting for shadow copy deletion. Follows industry best practices and security standards.
## When to Use
**Trigger phrases:**
- "hunting for shadow copy deletion"
- "When proactively hunting for indicators of hunting for shadow copy deletion in t"
- "After threat intelligence indicates active campaigns using these techniques"
- "During incident response to scope compromise related to these techniques"
- When proactively hunting for indicators of hunting for shadow copy deletion 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
## When NOT to Use
- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope
## 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
```python
# Example: IOC detection
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
```
1. **Define Detection Scope** — Identify the specific techniques or indicators to hunt. Map to MITRE ATT&CK tactics/techniques where applicable.
2. **Collect Baseline Data** — Gather historical logs and establish normal behavior patterns for .
3. **Build Detection Queries** — Write shadow copy deletion queries targeting indicators. Use platform-specific query language for optimal performance.
4. **Execute Hunts** — Run queries against the collected data, starting with broad filters and narrowing down.
5. **Triage Results** — Investigate alerts, filter false positives, and validate findings against known-good behavior.
6. **Document Findings** — Record confirmed detections, IOCs, and affected systems. Update detection rules based on findings.
## Tools
- **shadow copy deletion** — Primary tool for this skill
- **SIEM Platform** — Central log aggregation and query execution
- **Sigma Rules** — Vendor-agnostic detection rule format
- **MITRE ATT&CK Navigator** — Technique mapping and coverage analysis
## Process
1. **Reconnaissance** — Gather target information, identify attack surface, enumerate services
1. **Analysis/Exploitation** — Execute the technique, analyze results, document findings
1. **Reporting** — Document IOCs, write findings, provide remediation recommendations
## Verification
- [ ] All procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization
## Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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