Phishforge

pip install cognis-phishforge
phishforge scan .            # → prioritized findings in seconds

🔎 Example output

Real, reproducible output from the tool — runs offline:

$ phishforge-emit --version
phishforge 0.1.0

$ phishforge-emit --help
usage: phishforge [-h] [--version] [--format {table,json}]
                  {render,token,report,score} ...

PHISHFORGE - phishing simulation for security-awareness training (authorized
internal use only).

positional arguments:
  {render,token,report,score}
    render              render the template for every recipient
    token               print the tracking token for every recipient
    report              funnel + risk-band report for a campaign
    score               per-recipient susceptibility scores

options:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  --format {table,json}
                        output format (default: table)

Blocks above are real phishforge output — reproduce them from a clone.

Sample result format (illustrative values — run on your own data for real findings):

{
"phishforge": {
"platform": "stix",
"findings": [
{
"id": "1234567890abcdef",
"title": "Suspicious Email",
"description": "Email from unknown sender with suspicious attachment",
"created_by": "John Doe",
"created_at": "2023-02-15T14:30:00Z"
},
{
"id": "2345678901cdefg",
"title": "Malware Detection",
"description": "Malware detected on compromised system",
"created_by": "Jane Smith",
"created_at": "2023-02-16T10:45:00Z"
}
]
}
}

Usage — step by step

phishforge runs phishing-simulation campaigns for security-awareness training (authorized internal use only). All output is local; no email is sent.

1. Install (from a clone, editable):

   pip install -e .
   phishforge --version
   

2. Render the template for every recipient (needs a template JSON and a recipients CSV with an email column):

   phishforge render --template template.json --recipients recipients.csv \
       --campaign q3-awareness --base-url https://sim.example.com
   

3. Record outcomes and build a campaign report. Events are passed as email=event (e.g. opened, clicked, submitted, reported):

   phishforge report --template template.json --recipients recipients.csv \
       --campaign q3-awareness --event [email protected]=clicked
   

4. Read the output — use --format json for machine-readable counts, rates, and per-user risk bands:

   phishforge --format json score --template template.json \
       --recipients recipients.csv --event [email protected]=submitted
   

5. Automate in CI — generate stable tracking tokens and a JSON report for an awareness dashboard:

   phishforge --format json report --template template.json \
       --recipients recipients.csv --campaign nightly > report.json
   

Contents

• Why phishforge? · Features · Quick start · Example · Architecture · AI stack · How it compares · Integrations · Install anywhere · Related · Contributing

Why phishforge?

Open-source phishing simulation — campaigns, templates, training — without standing up heavyweight infrastructure.

phishforge is single-purpose, scriptable, and self-hostable: point it at a target, get prioritized results in the format your workflow already speaks (table · JSON · SARIF), gate CI on it, and let agents drive it over MCP.

Features

• ✅ Make Token
• ✅ Render Template
• ✅ Record Event
• ✅ Risk Band
• ✅ User Scores
• ✅ Campaign Report
• ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
• ✅ Ports in Python, JavaScript, Go, and Rust (ports/)

Quick start

pip install cognis-phishforge
phishforge --version
phishforge scan .                       # scan current project
phishforge scan . --format json         # machine-readable
phishforge scan . --fail-on high        # CI gate (non-zero exit)

Example

$ phishforge scan .
  [HIGH    ] PHI-001  example finding             (./src/app.py)
  [MEDIUM  ] PHI-002  another signal              (./config.yaml)

  2 findings · risk score 5 · 38ms

Architecture

flowchart LR
  IN[message / domain] --> P[phishforge<br/>analyze posture]
  P --> OUT[verdict + report]

Use it from any AI stack

phishforge is interoperable with every popular way of using AI:

• MCP server — phishforge mcp (Claude Desktop, Cursor, Cognis.Studio, uncensored-fleet)
• OpenAI-compatible / JSON — pipe phishforge scan . --format json into any agent or LLM
• LangChain · CrewAI · AutoGen · LlamaIndex — wrap the CLI/JSON as a tool in one line
• CI / scripts — exit codes + SARIF for non-AI pipelines

How it compares

	Cognis phishforge	gophish
Self-hostable, no account	✅	varies
Single command, zero config	✅	⚠️
JSON + SARIF for CI	✅	varies
MCP-native (AI agents)	✅	❌
Polyglot ports (JS/Go/Rust)	✅	❌
Open license	✅ COCL	varies

Built in the spirit of gophish/gophish, re-framed the Cognis way. Missing a credit? Open a PR.

Integrations

Pipes into your stack: SARIF for code-scanning, JSON for anything, an MCP server (phishforge mcp) for AI agents, and a webhook forwarder for SIEM/Slack/Jira. See docs/INTEGRATIONS.md.

Install — every way, every platform

pip install "git+https://github.com/cognis-digital/phishforge.git"    # pip (works today)
pipx install "git+https://github.com/cognis-digital/phishforge.git"   # isolated CLI
uv tool install "git+https://github.com/cognis-digital/phishforge.git" # uv
pip install cognis-phishforge                                          # PyPI (when published)
docker run --rm ghcr.io/cognis-digital/phishforge:latest --help        # Docker
brew install cognis-digital/tap/phishforge                             # Homebrew tap
curl -fsSL https://raw.githubusercontent.com/cognis-digital/phishforge/main/install.sh | sh

Linux	macOS	Windows	Docker	Cloud
scripts/setup-linux.sh	scripts/setup-macos.sh	scripts/setup-windows.ps1	docker run ghcr.io/cognis-digital/phishforge	DEPLOY.md (AWS/Azure/GCP/k8s)

Related Cognis tools

• sentrylog — Single-file SIEM for small teams — Sigma rules + multi-source ingest
• edrgap — EDR coverage & bypass detector — reconciles MDM + EDR + AD inventories
• canarynet — Self-hosted canary token network — AWS keys, DNS, docs, web URLs
• sbomgate — Continuous SBOM diff & vulnerability watch with maintainer-change tracking
• honeytrace — Active-decoy network lure system — SSH, RDP, SMB, web honeypots

Explore the suite → 🗂️ all 170+ tools · ⭐ awesome-cognis · 🔗 cognis-sources · 🤖 uncensored-fleet · 🧠 engram

Contributing

PRs, new rules, and demo scenarios are welcome under the collaboration-pull model — see CONTRIBUTING.md and SECURITY.md.

⭐ If phishforge saved you time, star it — it genuinely helps others find it.

Interoperability

{} composes with the 300+ tool Cognis suite — JSON in/out and a shared OpenAI-compatible /v1 backbone. See INTEROP.md for the suite map, composition patterns, and reference stacks.

License

Source-available under the Cognis Open Collaboration License (COCL) v1.0 — free for personal, internal-evaluation, research, and educational use; commercial / production use requires a license ([email protected]). See LICENSE.

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