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Security: shataragh/LinkedIn-Automation

Security

SECURITY.md

Security Policy

πŸ“¬ Reporting Security Vulnerabilities

We take security seriously. If you discover a vulnerability in this project, please report it responsibly. Public issue creation for sensitive flaws is discouraged.

πŸ“Œ Disclosure Channels

  • Preferred: GitHub Security Advisories
  • Alternative: [Insert secure email or contact method]
  • Response Time: Typically within 5 working days

Disclosures will be reviewed in confidence and addressed promptly. Your input helps improve operational safety for all users.


🚷 Responsible Use Reminder

This tool is intended for privacy-preserving, ethical automation only. Any form of illegal penetration testing, unauthorized data scraping, or black hat hacking using this tool is strictly forbidden.

🚫 DO NOT USE THIS TOOL TO HACK LINKEDIN
Attempting to exploit or bypass LinkedIn’s systems violates their User Agreement, and can trigger criminal or civil prosecution under laws like CFAA (USA) and GDPR (EU).


πŸ”» Consequences of Misuse

Misusing this tool to hack LinkedIn β€” or any platform β€” may result in:

Enforcement Level Outcome
🚨 GitHub Policy Violation Repository takedown, account suspension, and reporting to authorities
πŸ”’ Platform Response Permanent LinkedIn bans, IP blocks, internal audits
βš–οΈ Legal Prosecution CFAA/GDPR violations, cybercrime charges, civil lawsuits
🧭 Ethics Blacklisting Rejection from open-source, academic, and cybersecurity communities

This project does not condone any activity that undermines user privacy, platform integrity, or ethical standards.


🀝 Join Us in Responsible Engineering

This repository supports secure, censorship-resistant tooling for lawful users β€” especially those in adversarial environments. Contributions are welcome from developers committed to transparency, reproducibility, and ethical automation.

There aren't any published security advisories