conducting-malware-incident-response
Respond to malware infections across enterprise endpoints by identifying the malware family, determining infection vectors, assessing spread, and executing…
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
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 5
api.crowdstrike.com· found in codecodeload.github.com· found in install commandmb-api.abuse.ch· found in codethreatfox-api.abuse.ch· found in codevirustotal.com· found in code
Files it touches
~/.claude/skills/conducting-malware-incident-response
What's inside
- Skill name
conducting-malware-incident-response- Description
- Respond to malware infections across enterprise endpoints by identifying the malware family, determining infection vectors, assessing spread, and executing containment, analysis, eradication, and recovery procedures aligned to MITRE ATT&CK. Use when responding to a confirmed or suspected malware infection, including trojan/worm/ransomware outbreaks, malware triage, or infected endpoint remediation.
- License
- Apache-2.0
- Instructions
- 191 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- body: contains an absolute path from the author's machine
Files (4)
- LICENSE
- SKILL.md
- api-reference.md · references/
- agent.py · scripts/
SKILL.md (first lines)
# Conducting Malware Incident Response
## When to Use
- EDR or antivirus detects malware execution on one or more endpoints
- A user reports suspicious system behavior indicative of malware infection
- Threat intelligence indicates a malware campaign targeting the organization's industry
- Network monitoring detects beaconing traffic consistent with known malware C2 patterns
- A file detonation in a sandbox returns a malicious verdict
**Do not use** for analyzing malware samples in a research context; use dedicated malware analysis procedures for reverse engineering.
## Prerequisites
- EDR platform with process tree visibility and host isolation capability
- Malware sandbox environment (Cuckoo, ANY.RUN, Joe Sandbox, Hybrid Analysis)
- Access to threat intelligence platforms for malware family identification (VirusTotal, MalwareBazaar)
- Forensic imaging tools for evidence preservation (FTK Imager, KAPE)
- Clean system images or gold images for endpoint rebuild
- MITRE ATT&CK framework reference for technique mapping
## Workflow
### Step 1: Detect and Confirm Malware Presence
Validate the malware alert and gather initial indicators:
- Review EDR alert details: detection name, file path, hash (SHA-256), process tree
- Check if the detection is a known malware family or generic heuristic detection
- Query the file hash against VirusTotal, MalwareBazaar, and internal threat intelligence
- Examine the process execution chain to determine how the malware was delivered
```
Detection Summary:
File: C:\Users\jsmith\AppData\Local\Temp\update.exe
SHA-256: a1b2c3d4e5f6...
Detection: CrowdStrike: Malware/Qakbot | VirusTotal: 58/72 engines
Parent: WINWORD.EXE → cmd.exe → powershell.exe → update.exe
Delivery: Email attachment (Invoice-Nov2025.docm)
Network: HTTPS POST to 185.220.101[.]42:443 every 60s
Persistence: Scheduled Task "WindowsUpdate" → update.exe
```
### Step 2: Scope the Infection
Determine how many systems are affected and the malware's propagation method:
- Use EDR to search for the malware hash, filename, and behavioral indicators across all endpoints
- Check for network-based spreading (SMB, WMI, PsExec, exploitation)
- Query email gateway logs for all recipients of the delivery email
- Search for C2 communications to the identified infrastructure from other internal hosts
- Check for persistence mechanisms on all identified infected hosts
### Step 3: Contain Infected Systems
Execute containment per the active breach containment procedures:
- Network-isolate infected endpoints via EDR containment
- Block malware C2 infrastructure at firewall and DNS
- Block the malware hash in EDR prevention policy organization-wide
- Quarantine the delivery email from all mailboxes (if email-delivered)
- Disable compromised user accounts if credential theft is suspected
### Step 4: Analyze the Malware
Perform sufficient analysis to support complete eradication:
- Submit the sample to a sandbox for dynamic analysis (behavioral report, dropped files, network IOCs)
- Identify all persistence mechanisms: registry keys, scheduled tasks, services, WMI subscriptions, startup folders
- Document all file system artifacts: dropped files, modified files, created directories
- Extract network IOCs: C2 domains, IPs, URLs, user agents, JA3/JA3S hashes
- Map observed behaviors to MITRE ATT&CK techniques
```
Malware Analysis Summary - Qakbot Variant
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Initial Access: T1566.001 - Spearphishing Attachment (.docm)
Execution: T1059.001 - PowerShell (encoded downloader)
Persistence: T1053.005 - Scheduled Task
Defense Evasion: T1055.012 - Process Hollowing (explorer.exe)
C2: T1071.001 - HTTPS with custom headers
Collection: T1005 - Data from Local System (browser credentials)
Exfiltration: T1041 - Exfiltration Over C2 Channel
Artifacts:
- C:\Users\*\AppData\Local\Temp\update.exe (dropper)
- C:\ProgramData\Microsoft\{GUID}\config.dll (payload)
- HKCU\Software\Microsoft\Windows\CurrentVersion\Run\{random} (backup persistence)
- Scheduled Task: "WindowsUpdate" (primary persistence)
```
### Step 5: Eradicate the Malware
Remove all malware artifacts from every infected system:
- Terminate malicious processes and injected threads
- Delete malware files from all identified paths
- Remove persistence mechanisms (scheduled tasks, registry keys, services, WMI subscriptions)
- Clear browser credential stores if credential harvesting was confirmed
- Run a full EDR scan to verify no artifacts remain
- If eradication confidence is low, reimage the system from a known-clean gold image
### Step 6: Recover and Validate
Restore systems to production and verify clean status:
- Reconnect contained systems to the network in stages
- Monitor for 72 hours for any recurrence of malware indicators
- Force password resets for all users on infected endpoints
- Verify that C2 traffic has completely ceased across the environment
- Update detection rules based on newly discovered IOCs from the investigation
- Distribute IOCs to threat intelligence sharing partners (ISAC, MISP)
## Key Concepts
| Term | Definition |
|------|------------|
| **Malware Family** | Classification of malware variants sharing code, infrastructure, or behavior patterns (e.g., Qakbot, Emotet, Cobalt Strike) |
| **Process Hollowing** | Technique where malware creates a legitimate process in a suspended state, replaces its memory with malicious code, then resumes execution |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 (3 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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conducting-malware-incident-response skill. Agent Mart. https://agentmart.dev/skills/mukul975-conducting-malware-incident-response (last updated 2026-10-24)