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Staff
Staff
🔍 Identifying Employees & Technologies via Social Media:
- Platforms like LinkedIn and Xing are valuable for discovering:
- Employee roles and skills
- Technologies and frameworks they work with
- Software used within the organization
- Current areas of focus (from posts, likes, shares)
- Employee profiles may reveal:
- Programming languages and tools they specialize in
- Team structure and organization
- Security focus and certifications
📄 Job Post Analysis:
- Job ads can reveal a company’s tech stack, e.g.:
- Languages: Java, C#, C++, Python, Ruby, PHP, Perl
- Databases: PostgreSQL, MySQL, Oracle, SQL Server
- Frameworks: Flask, Django, ASP.NET, Spring
- ORMs: SQLAlchemy, Hibernate, Entity Framework
- Testing: Pytest, JUnit, xUnit
- Tools: Git, SVN, Mercurial, Perforce
- DevOps: Docker, Kubernetes, CI/CD tools
- Security: CompTIA Security+, software security best practices
- Other: Atlassian suite (Jira, Confluence), Redis, NumPy
🧠 Inferred Insights:
- Job listings and employee profiles often suggest:
- Development methodologies (e.g., Agile, CI/CD)
- Type of architecture (e.g., microservices, RESTful APIs)
- Possible open-source resources or internal misconfigurations
🔗 Open Source Threat Surface:
- Github projects from employees may include:
- Hardcoded sensitive data (e.g., JWT tokens, emails)
- Misconfigurations (especially if projects follow insecure templates)
- Real-world usage of frameworks like Django (linked to OWASP Top 10 risks)
🎯 Targeting Strategy:
- Focus on technical employees in development and security roles to:
- Understand infrastructure and threat landscape
- Predict security posture and potential gaps
- Use advanced search filters on LinkedIn for precise targeting (role, company, tools, location)