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d3fend-deceive

d3fend-deceive

Guides cybersecurity deception operations using MITRE D3FEND—honeynets, decoy objects, decoy personas, and decoy credentials. Covers honeypot deployment, decoy file planting, credential baiting, and deception environment design. Use when deploying honeypots, planting decoy data, baiting credentials, or designing deception programs—not for detection (d3fend-…

Independent GitHub snapshot · Automated classification · Original documentation governs

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GitHub

name: d3fend-deceive description: | Guides cybersecurity deception operations using MITRE D3FEND—honeynets, decoy objects, decoy personas, and decoy credentials. Covers honeypot deployment, decoy file planting, credential baiting, and deception environment design. Use when deploying honeypots, planting decoy data, baiting credentials, or designing deception programs—not for detection (d3fend-detect), hardening (d3fend-harden), or isolation (d3fend-isolate).

D3FEND — Deceive

When to Use

  • Deploying honeynets (connected, integrated, standalone)
  • Planting decoy objects (files, network resources, personas)
  • Distributing decoy credentials and session tokens
  • Publishing decoy information (fake releases, personas)
  • Designing deception programs and adversary engagement
  • Monitoring deception environment for adversary interaction

When NOT to Use

  • Building detection rules or SIEM content → d3fend-detect
  • System hardening or secure config → d3fend-harden
  • Network segmentation → d3fend-isolate
  • Active defense / threat intel → cybersecurity
  • Adversarial testing (red team) → ai-redteam / offensive-security-analyst

Core Workflows

1. Decoy Environments (Honeynets)

TypeDeploymentUse Case
StandaloneIsolated network segmentResearch, early warning
IntegratedBlended with productionInsider threat, lateral movement
ConnectedLinked to real systemsAPT detection, TTP collection

See references/honeynets.md

2. Decoy Objects

  • Decoy files: Fake documents with tracking (canary tokens)
  • Decoy network resources: Fake shares, databases, services
  • Decoy personas: Fake user accounts with believable data
  • Decoy public releases: Fake credentials on dark web/pastebin
  • Decoy session tokens: Bait cookies/API keys with monitoring

See references/decoy_objects.md

3. Deception Program Design

  1. Define objectives (detection, delay, intelligence)
  2. Select deception layers (environment, object, persona)
  3. Ensure believability and consistency
  4. Monitor and collect adversary TTPs
  5. Analyze and feed into threat intelligence

See references/deception_program.md

When to load references

  • Honeynets → references/honeynets.md
  • Decoy objects → references/decoy_objects.md
  • Deception program → references/deception_program.md
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