Files
Anthropic-Cybersecurity-Skills/skills/performing-red-team-phishing-with-gophish/SKILL.md
T
mukul975 886658219f Add MITRE Fight Fraud Framework (F3 v1.1) mappings to fraud-relevant skills
- Add mitre_f3 frontmatter block to 94 fraud-relevant skills (phishing,
  account takeover, banking malware, BEC, identity/KYC, payment/card fraud,
  money-mule/cash-out, ransomware extortion, DFIR, threat intel)
- Map each skill to F3 v1.1 tactics + precise technique IDs, including the
  two F3-specific tactics ATT&CK lacks: Positioning (FA0001) and
  Monetization (FA0002)
- All 123 F3 v1.1 technique IDs validated against the upstream STIX bundle
  (github.com/center-for-threat-informed-defense/fight-fraud-framework):
  0 invalid IDs, 0 invalid tactics, 0 name mismatches, no placeholder IDs
- mitre_f3 kept as a separate block from mitre_attack (F3 redefines several
  ATT&CK tactics for the fraud context)
- Add docs/mitre-f3-mapping.md schema reference
- Update README: F3 as the 6th framework, dedicated F3 section + badge
2026-06-20 16:06:04 +02:00

3.0 KiB

name, description, domain, subdomain, tags, version, author, license, nist_csf, mitre_attack, mitre_f3
name description domain subdomain tags version author license nist_csf mitre_attack mitre_f3
performing-red-team-phishing-with-gophish Automate GoPhish phishing simulation campaigns using the Python gophish library. Creates email templates with tracking pixels, configures SMTP sending profiles, builds target groups from CSV, launches campaigns, and analyzes results including open rates, click rates, and credential submission statistics for security awareness assessment. cybersecurity security-operations
red-teaming
phishing-simulation
gophish
social-engineering
campaign-automation
security-awareness
1.0 mahipal Apache-2.0
DE.CM-01
RS.MA-01
GV.OV-01
DE.AE-02
T1078
T1190
T1059
T1003
T1110
version tactics techniques
1.1
resource-development
reconnaissance
initial-access
id name tactic source
T1598 Phishing for Information reconnaissance attack
id name tactic source
T1660 Phishing initial-access attack
id name tactic source
F1020.002 Create Fake Materials: Fake Website resource-development f3
id name tactic source
T1583.001 Acquire Infrastructure: Domains resource-development attack
id name tactic source
F1006.002 Account Takeover: Exposed Login Credential initial-access f3

When to Use

  • When conducting security assessments that involve performing red team phishing with gophish
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Familiarity with security operations concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Instructions

  1. Install dependencies: pip install gophish requests
  2. Deploy GoPhish server and obtain an API key from Settings.
  3. Use the Python gophish library to automate campaign setup:
    • Create email templates with HTML body and tracking
    • Configure SMTP sending profiles
    • Import target groups from CSV
    • Create landing pages for credential capture
    • Launch and monitor campaigns
  4. Analyze campaign results: opens, clicks, submitted data, reported.
# For authorized penetration testing and lab environments only
python scripts/agent.py --gophish-url https://localhost:3333 --api-key <key> --campaign-name "Q1 Awareness" --output phishing_report.json

Examples

Create Campaign via API

from gophish import Gophish
from gophish.models import Campaign, Template, Group, SMTP, Page
api = Gophish("api_key", host="https://localhost:3333", verify=False)  # Self-signed cert on localhost lab
campaign = Campaign(name="Q1 Test", groups=[Group(name="Sales Team")],
    template=Template(name="IT Password Reset"), smtp=SMTP(name="Internal SMTP"),
    page=Page(name="Credential Page"))
api.campaigns.post(campaign)