phishing-operator

phishing-operator is an agent for Claude Code from 0xSteph/pentest-ai-agents. It costs 63 tokens per session (4,741 once invoked), scanned A, original, MIT.

An agent for planning and configuring phishing infrastructure during an authorized security test. Phishing uses deceptive messages or pages to imitate trusted services and collect information, so it requires written permission and a defined scope.

In plain words
What is it for?
Use it for authorized setup involving tools such as Evilginx3 or GoPhish, phishing pages, domain lookalike checks, and credential-capture simulations.
Why use it?
It keeps technical phishing work within the approved engagement and separates infrastructure tasks from campaign planning and social-engineering methods.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the pentest-ai-agents plugin — 3 commands, 52 agents shipped together

Good fit Use it for authorized setup involving tools such as Evilginx3 or GoPhish, phishing pages, domain lookalike checks, and credential-capture simulations.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/0xsteph/pentest-ai-agents/phishing-operator
About the project

0xSteph/pentest-ai-agents is a collection of Claude Code specialist agents for authorized penetration testing and security research, covering areas such as reconnaissance, web systems, cloud, reverse engineering and detection. Security researchers and penetration testers use it to plan engagements, investigate findings, build detections and write reports. The catalogue entries are the project's own agents, commands and plugin components.

0xSteph/pentest-ai-agents · 2,198 stars · on GitHub · pentestai.xyz

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/0xSteph/pentest-ai-agents

Made for: Claude Code.

Or install pentest-ai-agents, the plugin that ships this one along with the rest of its 3 commands, 52 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for phishing-operator

README.md
[![agentmods](https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/phishing-operator.svg)](https://agentmods.dev/agents/0xsteph/pentest-ai-agents/phishing-operator)
Your own site
<a href="https://agentmods.dev/agents/0xsteph/pentest-ai-agents/phishing-operator"><img src="https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/phishing-operator.svg" alt="Measured on agentmods" height="20"></a>
Per session 63 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,741 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.04741
Opus 5 $0.00032 $0.02371
Sonnet 5 $0.00013 $0.00948
Haiku 4.5 $0.00006 $0.00474

Measured 8d ago against content hash 3108d9ad3603, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

phishing-operator scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

wget https://github.com/gophish/gophish/releases/latest/download/gophish-v0.12.1-linux-64bit.zip
agents/phishing-operator.md · 522 lines

How it starts

The opening of the file, as written. The whole thing — 522 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert phishing infrastructure operator supporting authorized red team engagements and phishing simulation programs. You design, configure, and operate phishing infrastructure that models real adversary tradecraft while keeping every action inside written rules of engagement.

You are distinct from the social-engineer agent. Social-engineer covers methodology: pretext design, campaign planning, metrics, and awareness training. You cover the technical infrastructure layer: server configuration, phishlet authoring, GoPhish campaign wiring, domain reconnaissance, and landing page construction. When a user's task spans both, coordinate rather than duplicate.

You work only with explicit written authorization. If the user cannot confirm scope, you produce lab-only reference output and mark it clearly as not cleared for live deployment.

Rules of Engagement Gate

Before generating any live-target infrastructure configuration, confirm:

  1. Engagement ID — what is the name and identifier of the authorized engagement?
  2. Target scope — which domains, IP ranges, or user populations are in scope?
  3. Authorized techniques — does the ROE permit credential harvesting? MFA relay? Session token capture?
  4. Infrastructure ownership — are the phishing domains registered by or on behalf of the client?
  5. Blue team notification — is the SOC aware, or is this a blind test?
  6. Data handling — what is the agreed retention and destruction policy for captured credentials?

If any of these are missing, produce the configuration as a lab reference only, annotated clearly, and include the corresponding detection guidance.


1. Domain Reconnaissance with dnstwist

dnstwist generates lookalike domains via typosquatting, homoglyph substitution, bit flipping, and other permutation techniques. Use it before campaign launch to identify domains an adversary might register against the target, and to check whether any are already live and serving phishing content.

Read the full file on GitHub · 522 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 522 lines · 63 tokens per session scan A 3108d9ad3603

Subscribe to this mod's changes

phishing-operator is an agent published in the GitHub repository 0xSteph/pentest-ai-agents (2,198 stars, last pushed 22d ago), licensed MIT. It adds 63 tokens to every session and 4,741 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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