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performing-adversary-in-the-middle-phishing-detection在中间网络钓鱼检测中执行对手

Agent Skill

performing-adversary-in-the-middle-phishing-detection 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

198

周安装

8

GitHub Stars

5,890

下载量

62
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:performing-adversary-in-the-middle-phishing-detection(在中间网络钓鱼检测中执行对手)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/performing-adversary-in-the-middle-phishing-detection
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill performing-adversary-in-the-middle-phishing-detection
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill performing-adversary-in-the-middle-phishing-detection

简介

用于处理 GitHub 仓库、Issue 和 Pull Request 协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中整理代码变更或协作事项。
  • 可结合来源仓库 README 核验具体用法,建议确认维护状态与权限范围。
  • 安装前需注意是否会触发联网、命令执行或文件读写操作。
  • performing-adversary-in-the-middle-phishing-detection 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Performing Adversary-in-the-Middle Phishing Detection

Overview

Adversary-in-the-Middle (AiTM) phishing attacks use reverse-proxy infrastructure to sit between the victim and the legitimate authentication service, intercepting both credentials and session cookies in real time. This allows attackers to bypass multi-factor authentication (MFA). The most prevalent PhaaS kits in 2025 include Tycoon 2FA, Sneaky 2FA, EvilProxy, and Evilginx. Over 1 million PhaaS attacks were detected in January-February 2025 alone. These attacks have evolved from QR codes to HTML attachments and SVG files for link distribution.

When to Use

  • When conducting security assessments that involve performing adversary in the middle phishing detection
  • 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

  • Azure AD / Entra ID Conditional Access policies
  • SIEM with authentication log ingestion (Azure AD sign-in logs)
  • Web proxy with SSL inspection and URL categorization
  • Endpoint Detection and Response (EDR) solution
  • FIDO2/phishing-resistant MFA capability

Key Concepts

How AiTM Works

  1. Victim receives phishing email with link to attacker-controlled domain
  2. Attacker domain runs reverse proxy that mirrors legitimate login page
  3. Victim enters credentials on proxied page; credentials captured in transit
  4. Reverse proxy forwards credentials to real authentication service
  5. MFA challenge sent to victim; victim completes MFA on proxied page
  6. Attacker captures session cookie returned by legitimate service
  7. Attacker replays session cookie to access victim's account without MFA

Major AiTM Kits (2025)

KitTypePrimary TargetsEvasion
Tycoon 2FAPhaaSMicrosoft 365, GoogleCAPTCHA, Cloudflare turnstile
EvilProxyPhaaSMicrosoft 365, Google, OktaRandom URLs, IP rotation
EvilginxOpen-sourceAny web applicationCustom phishlets
Sneaky 2FAPhaaSMicrosoft 365Anti-bot checks
NakedPagesPhaaSMultipleMinimal infrastructure

Detection Indicators

  • Authentication from unusual IP not matching user profile
  • Session cookie reuse from different IP/device than authentication
  • Login page served from non-Microsoft/non-Google infrastructure
  • CDN requests to legitimate auth providers from phishing domains
  • Impossible travel between authentication and session usage

Workflow

Step 1: Deploy Phishing-Resistant MFA

  • Implement FIDO2 security keys or Windows Hello for Business for high-value accounts
  • Configure Conditional Access to require phishing-resistant MFA for admins
  • Enable certificate-based authentication where possible
  • Disable SMS and voice MFA for privileged accounts
  • AiTM cannot intercept FIDO2 because authentication is bound to origin domain

Step 2: Configure Conditional Access Policies

  • Require compliant/managed device for sensitive application access
  • Block authentication from anonymous proxies and Tor exit nodes
  • Enforce token binding to limit session cookie replay
  • Configure continuous access evaluation (CAE) for real-time token revocation
  • Implement sign-in risk policies that require re-authentication for risky sign-ins

Step 3: Build AiTM Detection Rules

  • Alert on sign-in followed by session from different IP within 10 minutes
  • Detect authentication where proxy IP does not match user's expected location
  • Monitor for impossible travel patterns in session usage
  • Alert on inbox rules created immediately after authentication (common post-compromise)
  • Detect new MFA method registration from suspicious sign-in

Step 4: Monitor Web Proxy for AiTM Infrastructure

  • Log and analyze DNS queries to newly registered domains
  • Detect connections to known PhaaS infrastructure IPs
  • Alert on authentication page backgrounds loaded from legitimate CDNs through proxy domains
  • Monitor for SSL certificates issued to domains mimicking corporate login pages
  • Block access to known EvilProxy/Evilginx infrastructure via threat intelligence

Step 5: Implement Post-Compromise Detection

  • Alert on mailbox forwarding rules created after suspicious authentication
  • Detect OAuth app consent after AiTM sign-in
  • Monitor for email sending patterns indicating BEC follow-up
  • Alert on SharePoint/OneDrive mass download after session hijack
  • Track lateral movement from compromised account

Tools & Resources

  • Microsoft Entra ID Protection: Risk-based Conditional Access
  • Azure AD Sign-in Logs: Authentication event analysis
  • Okta ThreatInsight: AiTM proxy detection at IdP level
  • Sekoia TDR: AiTM campaign tracking and intelligence
  • Evilginx (defensive): Understanding attack mechanics for detection

Validation

  • Phishing-resistant MFA blocks AiTM session capture in test scenario
  • Conditional Access denies session replay from different device/IP
  • SIEM alerts fire on simulated AiTM sign-in patterns
  • Web proxy blocks connections to known PhaaS infrastructure
  • Post-compromise rules detect inbox rule creation after suspicious auth

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.89%
按下载量换算23

Claude

28.94%
按下载量换算18

Cursor

19.4%
按下载量换算12

Gemini CLI

8.28%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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