Individual skill
building-automated-malware-submission-pipeline
Builds an automated malware submission and analysis pipeline that collects suspicious files from endpoints and email gateways, submits them to sandbox environments and multi-engine scanners, and generates verdicts with IOCs for SIEM integration. Use when SOC teams need to scale malware analysis beyond manual sandbox submissions for high-volume alert triage.
internal/tools/skills/data/soc-operations/building-automated-malware-submission-pipeline/SKILL.md
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- soc Declared skill tag
- malware-analysis Declared skill tag
- sandbox Declared skill tag
- automation Declared skill tag
- virustotal Declared skill tag
- cuckoo Declared skill tag
- any-run Declared skill tag
- pipeline Declared skill tag
- engineering Derived category
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# Building Automated Malware Submission Pipeline
## When to Use
Use this skill when:
- SOC teams face high volume of suspicious file alerts requiring sandbox analysis
- Manual sandbox submission creates bottlenecks in alert triage workflow
- Endpoint and email security tools quarantine files needing automated verdict determination
- Incident response requires rapid malware family identification and IOC extraction
**Do not use** for analyzing live malware samples in production environments — always use isolated sandbox infrastructure.
## Common Misconfigurations & Verification
- **Sandbox detonates with internet access:** submitting with `route=internet` (or omitting `internet-access: False` on Joe Sandbox) lets the sample reach live C2 and may tip off the adversary or get your egress IP blocklisted. Verify the Cuckoo `options` actually carry `route=none` and confirm no outbound succeeded in the report's network section.