collecting-volatile-evidence-from-compromised-host

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/collecting-volatile-evidence-from-compromised-host
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summary

Collect volatile forensic evidence from a compromised system following order of volatility, preserving memory, network connections, processes, and system state before they are lost.

skill.md
name
collecting-volatile-evidence-from-compromised-host
description
Collect volatile forensic evidence from a compromised system following order of volatility, preserving memory, network connections, processes, and system state before they are lost.
domain
cybersecurity
subdomain
incident-response
tags
- incident-response - dfir - forensics - volatile-evidence - memory-forensics - chain-of-custody
mitre_attack
- T1003 - T1055 - T1059 - T1547
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- RS.MA-01 - RS.MA-02 - RS.AN-03 - RC.RP-01

Collecting Volatile Evidence from Compromised Hosts

When to Use

  • Security incident confirmed and compromised host identified
  • Before system isolation, shutdown, or remediation begins
  • Memory-resident malware suspected (fileless attacks)
  • Need to capture network connections, running processes, and system state
  • Legal proceedings may require forensic evidence preservation
  • Incident requires root cause analysis with volatile data

Prerequisites

  • Forensic collection toolkit on USB or network share (trusted tools)
  • WinPmem/LiME for memory acquisition
  • Write-blocker or forensic workstation for disk imaging
  • Chain of custody documentation forms
  • Secure evidence storage with integrity verification
  • Authorization to collect evidence (legal/HR approval for insider cases)

Workflow

Step 1: Prepare Collection Environment

# Mount forensic USB toolkit (do NOT install tools on compromised system)
# Verify toolkit integrity
sha256sum /mnt/forensic_usb/tools/* > /tmp/toolkit_hashes.txt
diff /mnt/forensic_usb/tools/known_good_hashes.txt /tmp/toolkit_hashes.txt

# Create evidence output directory with timestamps
EVIDENCE_DIR="/mnt/evidence/$(hostname)_$(date +%Y%m%d_%H%M%S)"
mkdir -p "$EVIDENCE_DIR"
echo "Collection started: $(date -u)" > "$EVIDENCE_DIR/collection_log.txt"
echo "Collector: $(whoami)" >> "$EVIDENCE_DIR/collection_log.txt"
echo "System: $(hostname)" >> "$EVIDENCE_DIR/collection_log.txt"

Step 2: Capture System Memory (Highest Volatility)

# Windows - WinPmem memory acquisition
winpmem_mini_x64.exe "$EVIDENCE_DIR\memdump_$(hostname).raw"

# Linux - LiME kernel module for memory acquisition
insmod /mnt/forensic_usb/lime.ko "path=$EVIDENCE_DIR/memdump_$(hostname).lime format=lime"

# Linux - Alternative using /proc/kcore
dd if=/proc/kcore of="$EVIDENCE_DIR/kcore_dump.raw" bs=1M

# macOS - osxpmem
osxpmem -o "$EVIDENCE_DIR/memdump_$(hostname).aff4"

# Hash the memory dump immediately
sha256sum "$EVIDENCE_DIR/memdump_"* > "$EVIDENCE_DIR/memory_hash.sha256"

Step 3: Capture Network State

# Active network connections
# Windows
netstat -anob > "$EVIDENCE_DIR/netstat_connections.txt" 2>&1
Get-NetTCPConnection | Export-Csv "$EVIDENCE_DIR/tcp_connections.csv" -NoTypeInformation
Get-NetUDPEndpoint | Export-Csv "$EVIDENCE_DIR/udp_endpoints.csv" -NoTypeInformation

# Linux
ss -tulnp > "$EVIDENCE_DIR/socket_stats.txt"
netstat -anp > "$EVIDENCE_DIR/netstat_all.txt" 2>/dev/null
cat /proc/net/tcp > "$EVIDENCE_DIR/proc_net_tcp.txt"
cat /proc/net/udp > "$EVIDENCE_DIR/proc_net_udp.txt"

# ARP cache
arp -a > "$EVIDENCE_DIR/arp_cache.txt"

# Routing table
route print > "$EVIDENCE_DIR/routing_table.txt"  # Windows
ip route show > "$EVIDENCE_DIR/routing_table.txt"  # Linux

# DNS cache
ipconfig /displaydns > "$EVIDENCE_DIR/dns_cache.txt"  # Windows
# Linux: varies by resolver, check systemd-resolve or nscd
systemd-resolve --statistics > "$EVIDENCE_DIR/dns_stats.txt" 2>/dev/null

# Active firewall rules
netsh advfirewall show allprofiles > "$EVIDENCE_DIR/firewall_rules.txt"  # Windows
iptables -L -n -v > "$EVIDENCE_DIR/iptables_rules.txt"  # Linux

Step 4: Capture Running Processes

# Windows - Detailed process list
tasklist /V /FO CSV > "$EVIDENCE_DIR/process_list_verbose.csv"
wmic process list full > "$EVIDENCE_DIR/wmic_process_full.txt"
Get-Process | Select-Object Id,ProcessName,Path,StartTime,CPU,WorkingSet |
  Export-Csv "$EVIDENCE_DIR/ps_processes.csv" -NoTypeInformation

# Windows - Process with command line and parent
wmic process get ProcessId,Name,CommandLine,ParentProcessId,ExecutablePath /FORMAT:CSV > \
  "$EVIDENCE_DIR/process_commandlines.csv"

# Linux - Full process tree
ps auxwwf > "$EVIDENCE_DIR/process_tree.txt"
ps -eo pid,ppid,user,args --forest > "$EVIDENCE_DIR/process_forest.txt"
cat /proc/*/cmdline 2>/dev/null | tr '\0' ' ' > "$EVIDENCE_DIR/proc_cmdline_all.txt"

# Process modules/DLLs loaded
# Windows
listdlls.exe -accepteula > "$EVIDENCE_DIR/loaded_dlls.txt"
# Linux
for pid in $(ls /proc/ | grep -E '^[0-9]+$'); do
  echo "=== PID $pid ===" >> "$EVIDENCE_DIR/proc_maps.txt"
  cat "/proc/$pid/maps" 2>/dev/null >> "$EVIDENCE_DIR/proc_maps.txt"
done

# Open file handles
handle.exe -accepteula > "$EVIDENCE_DIR/open_handles.txt"  # Windows (Sysinternals)
lsof > "$EVIDENCE_DIR/open_files.txt"  # Linux

Step 5: Capture Logged-in Users and Sessions

# Windows
query user > "$EVIDENCE_DIR/logged_in_users.txt"
query session > "$EVIDENCE_DIR/active_sessions.txt"
net session > "$EVIDENCE_DIR/net_sessions.txt" 2>&1
net use > "$EVIDENCE_DIR/mapped_drives.txt" 2>&1

# Linux
who > "$EVIDENCE_DIR/who_output.txt"
w > "$EVIDENCE_DIR/w_output.txt"
last -50 > "$EVIDENCE_DIR/last_logins.txt"
lastlog > "$EVIDENCE_DIR/lastlog.txt"
cat /var/log/auth.log | tail -200 > "$EVIDENCE_DIR/recent_auth.txt" 2>/dev/null

Step 6: Capture System Configuration State

# System time (critical for timeline)
date -u > "$EVIDENCE_DIR/system_time_utc.txt"
w32tm /query /status > "$EVIDENCE_DIR/ntp_status.txt"  # Windows
ntpq -p > "$EVIDENCE_DIR/ntp_status.txt"  # Linux

# Environment variables
set > "$EVIDENCE_DIR/environment_vars.txt"  # Windows
env > "$EVIDENCE_DIR/environment_vars.txt"  # Linux

# Scheduled tasks / Cron jobs
schtasks /query /fo CSV /v > "$EVIDENCE_DIR/scheduled_tasks.csv"  # Windows
crontab -l > "$EVIDENCE_DIR/crontab_current.txt" 2>/dev/null  # Linux
ls -la /etc/cron.* > "$EVIDENCE_DIR/cron_dirs.txt" 2>/dev/null

# Services
sc queryex type=service state=all > "$EVIDENCE_DIR/services_all.txt"  # Windows
systemctl list-units --type=service --all > "$EVIDENCE_DIR/systemd_services.txt"  # Linux

# Windows Registry - key autostart locations
reg export "HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Run" "$EVIDENCE_DIR/reg_run_hklm.reg" /y
reg export "HKCU\SOFTWARE\Microsoft\Windows\CurrentVersion\Run" "$EVIDENCE_DIR/reg_run_hkcu.reg" /y
reg export "HKLM\SYSTEM\CurrentControlSet\Services" "$EVIDENCE_DIR/reg_services.reg" /y

Step 7: Hash All Evidence and Document Chain of Custody

# Generate SHA256 hashes for all collected evidence
cd "$EVIDENCE_DIR"
sha256sum * > evidence_manifest.sha256

# Create chain of custody record
cat > "$EVIDENCE_DIR/chain_of_custody.txt" << EOF
CHAIN OF CUSTODY RECORD
========================
Case ID: IR-YYYY-NNN
Collection Date: $(date -u)
Collected By: $(whoami)
System: $(hostname)
System IP: $(hostname -I 2>/dev/null || ipconfig | grep IPv4)
Collection Method: Live forensic collection via trusted USB toolkit

Evidence Items:
$(ls -la "$EVIDENCE_DIR/" | grep -v chain_of_custody)

SHA256 Manifest: evidence_manifest.sha256
Transfer: [TO BE COMPLETED]
Storage Location: [TO BE COMPLETED]
EOF

Key Concepts

ConceptDescription
Order of VolatilityRFC 3227 - Collect most volatile data first: registers > cache > memory > disk
Live ForensicsCollecting evidence from a running system before shutdown
Chain of CustodyDocumentation tracking evidence handling from collection to court
Forensic SoundnessEnsuring evidence collection doesn't alter the original evidence
Trusted ToolsUsing verified tools from external media, not from the compromised system
Evidence IntegritySHA256 hashing of all evidence immediately after collection
Locard's Exchange PrincipleEvery contact leaves a trace - minimize investigator artifacts

Tools & Systems

ToolPurpose
WinPmemWindows memory acquisition
LiME (Linux Memory Extractor)Linux kernel memory acquisition
Sysinternals SuiteProcess, handle, and DLL analysis (Windows)
VelociraptorRemote forensic collection at scale
KAPE (Kroll Artifact Parser)Automated artifact collection on Windows
CyLRCross-platform live response collection
GRR Rapid ResponseRemote live forensics framework

Common Scenarios

  1. Fileless Malware Attack: PowerShell-based attack with no files on disk. Memory dump is critical evidence containing the malicious scripts.
  2. Active C2 Session: Attacker has live connection. Network connections and process data reveal C2 infrastructure.
  3. Insider Data Theft: Employee copying files. Process list, mapped drives, and network connections show exfiltration activity.
  4. Compromised Web Server: Web shell detected. Memory may contain additional backdoors not yet written to disk.
  5. Lateral Movement in Progress: Attacker moving between systems. Authentication tokens and network sessions in memory reveal scope.

Output Format

  • Memory dump file (.raw or .lime format) with SHA256 hash
  • Network state captures (connections, ARP, DNS, routes)
  • Process listings with command lines and parent processes
  • User session and authentication data
  • System configuration snapshots
  • Evidence manifest with SHA256 checksums
  • Chain of custody documentation
how to use collecting-volatile-evidence-from-compromised-host

How to use collecting-volatile-evidence-from-compromised-host on Cursor

AI-first code editor with Composer

1

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 collecting-volatile-evidence-from-compromised-host
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/collecting-volatile-evidence-from-compromised-host

The skills CLI fetches collecting-volatile-evidence-from-compromised-host from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/collecting-volatile-evidence-from-compromised-host

Reload or restart Cursor to activate collecting-volatile-evidence-from-compromised-host. Access the skill through slash commands (e.g., /collecting-volatile-evidence-from-compromised-host) 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.

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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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.752 reviews
  • Diego Jackson· Dec 20, 2024

    collecting-volatile-evidence-from-compromised-host reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zaid Park· Dec 12, 2024

    Registry listing for collecting-volatile-evidence-from-compromised-host matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Henry Farah· Dec 8, 2024

    Useful defaults in collecting-volatile-evidence-from-compromised-host — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Diego Robinson· Nov 27, 2024

    Registry listing for collecting-volatile-evidence-from-compromised-host matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Olivia Dixit· Nov 11, 2024

    I recommend collecting-volatile-evidence-from-compromised-host for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Chen Martin· Nov 7, 2024

    We added collecting-volatile-evidence-from-compromised-host from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Zaid Brown· Nov 3, 2024

    Useful defaults in collecting-volatile-evidence-from-compromised-host — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Diego Gupta· Oct 26, 2024

    collecting-volatile-evidence-from-compromised-host fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Fatima Sanchez· Oct 22, 2024

    I recommend collecting-volatile-evidence-from-compromised-host for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Diego White· Oct 18, 2024

    collecting-volatile-evidence-from-compromised-host reduced setup friction for our internal harness; good balance of opinion and flexibility.

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