dandye/ai-runbooks/triage-malware
Claude Code and agent skill by dandye/ai-runbooks
- community
Checking that the SKILL.md file is still in the repository.
Triage a suspected malicious file hash. Use when investigating malware alerts or suspicious files. Analyzes GTI file report, behavioral indicators, identifies affected hosts, enriches network IOCs, and recommends containment actions.
Install
npx vskill@latest install dandye/ai-runbooks/triage-malwareSKILL.md
Malware Triage Skill
Perform initial analysis and context gathering for a suspected malicious file hash identified during an investigation or alert.
Inputs
FILE_HASH- MD5, SHA1, or SHA256 hash of the suspected fileCASE_ID- SOAR case ID for documentationALERT_GROUP_IDENTIFIERS- Alert group identifiers from the case- (Optional)
TIME_FRAME_HOURS- Lookback period (default: 72)
Workflow
Step 1: Get Case Context
Step 2: GTI File Report
Record:
- Detection ratio (e.g., 45/70 engines)
- Malware family classification
- First/last seen dates
- Associated threat actors or campaigns
Step 3: GTI Behavior Summary
Extract behavioral indicators:
- Network: Contacted IPs/domains →
NETWORK_IOCs_GTI - File system: Dropped files, modified files
- Registry: Modified keys
- MITRE TTPs: Observed techniques from sandbox
Step 4: SIEM Execution Check
Search for file execution events:
Look for: PROCESS_LAUNCH, FILE_CREATION, FILE_MODIFICATION
Identify:
AFFECTED_HOSTS- Machines where file was seenAFFECTED_USERS- Users who executed/accessed the file
Step 5: SIEM Network Activity
Search for network connections from processes with this hash:
Extract: NETWORK_IOCs_SIEM (contacted IPs/domains)
Step 6: Enrich Network IOCs
Combine NETWORK_IOCs_GTI + NETWORK_IOCs_SIEM → ALL_NETWORK_IOCs
For each network IOC, use /enrich-ioc:
- Check GTI reputation
- Check SIEM presence
- Check IOC match status
Step 7: Check Related Cases
Use /find-relevant-case with:
Step 8: Synthesize & Document
Use /document-in-case with assessment:
Required Outputs
After completing this skill, you MUST report these outputs:
| Output | Description | |
|---|---|---|
MALWARE_CLASSIFICATION | GTI verdict and malware family (e.g., "Emotet - Banking Trojan") | |
BEHAVIORAL_IOCS | Network IOCs from sandbox analysis (contacted IPs/domains) | |
AFFECTED_HOSTS | Hosts where this malware was executed or detected | |
AFFECTED_USERS | Users who executed or accessed the malware | |
TRIAGE_VERDICT | Overall verdict: malicious, suspicious, or clean |
Severity Assessment Matrix
| Factor | Low | Medium | High | Critical | |
|---|---|---|---|---|---|
| GTI Detection | < 5 engines | 5-20 engines | 20-50 engines | > 50 engines | |
| Execution | Not executed | Downloaded only | Executed | Active C2 | |
| Spread | Single host | 2-5 hosts | 5-20 hosts | > 20 hosts | |
| Network IOCs | None observed | Benign | Suspicious | Known malicious | |
| Data at Risk | None | Low value | PII/credentials | Critical systems |
Recommended Actions by Severity
Critical/High:
- Immediately isolate affected hosts
- Block network IOCs at firewall
- Escalate to Incident Response
- Preserve forensic evidence
Medium:
- Monitor affected hosts closely
- Block known malicious IOCs
- Schedule endpoint scan
- Escalate to Tier 2
Low:
- Document findings
- Monitor for recurrence
- Close with detailed notes
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/triage-malware/SKILL.md
Popularity
- Repository stars
- 90
- Repository forks
- 25
- 7-day trend score
- 23
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 24 Mar 2026, 7 months ago.
Works with
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