PolySwarm: A Crowdsourced Threat Intelligence Marketplace

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PolySwarm is a crowdsourced threat intelligence platform that enables researchers and defenders to identify malicious files more effectively. It offers a marketplace for threat detection, analysis, and response, with rewards for contributors.

Key Features:

  • Crowdsourced Threat Detection – Leverages a global network of security experts.
  • Rewards for Contributors – Earn NCT tokens for submitting accurate threat intelligence.
  • Actionable IOCs – Free threat bulletins with immediate-use Indicators of Compromise.
  • Vendor Integrations – Works with ThreatQuotient, Anomali, Cyware, ThreatConnect, Silobreaker, and Splunk SOAR.

Useful Links:

You Should Know:

1. How to Submit Threat Intelligence to PolySwarm

 Install the PolySwarm CLI (Linux) 
curl -L https://github.com/polyswarm/polyswarm-cli/releases/latest/download/polyswarm-linux -o polyswarm 
chmod +x polyswarm 
sudo mv polyswarm /usr/local/bin/

Submit a suspicious file for analysis 
polyswarm submit -k YOUR_API_KEY malicious_sample.exe

2. Automating IOC Extraction

 Use Python to parse PolySwarm's threat bulletin (JSON) 
import requests 
response = requests.get("https://api.polyswarm.io/v1/iocs") 
iocs = response.json() 
for indicator in iocs['data']: 
print(f"Type: {indicator['type']}, Value: {indicator['value']}")

3. Integrating with Splunk SOAR

 Example Phantom playbook to ingest PolySwarm IOCs 
def polyswarm_ingest_iocs(): 
url = "https://api.polyswarm.io/v1/iocs" 
response = requests.get(url, headers={"Authorization": "Bearer YOUR_API_KEY"}) 
return response.json()

4. Detecting SpyPress Malware (Fancy Bear TTPs)

 Windows Defender custom rule to detect SpyPress artifacts 
Add-MpPreference -AttackSurfaceReductionRules_Ids "5BEB7EFE-FD9A-4556-801D-275E5FFC04CC" -AttackSurfaceReductionRules_Actions Enabled

5. Querying Threat Intelligence Platforms

 Using MISP to cross-check PolySwarm IOCs 
misp-search --type sha256 --value "HASH_FROM_POLYSWARM"

What Undercode Say:

PolySwarm bridges the gap between independent researchers and enterprise security teams. By crowdsourcing threat detection, it reduces false negatives and accelerates incident response. Security professionals should integrate PolySwarm’s IOCs into SIEMs, EDRs, and threat-hunting workflows. Future enhancements may include AI-driven malware classification and deeper automation with SOAR platforms.

Expected Output:

  • A structured threat intelligence pipeline using PolySwarm’s crowdsourced data.
  • Automated ingestion of IOCs into security tools (Splunk, MISP, Defender).
  • Improved detection of emerging threats like SpyPress and Fancy Bear campaigns.

Prediction:

As cyber threats evolve, PolySwarm’s model will likely expand into decentralized AI-based threat scoring, making real-time malware analysis more accessible. Expect deeper integrations with major SOC platforms and blockchain-based verification for threat submissions.

References:

Reported By: Mthomasson Cti – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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