Break the Black Box Myth: Code Analysis Done Right
In modern security programs, code analysis is often outsourced to tools: static scanners, automated platforms, and proprietary engines. The industry calls this "shift left", but too often, it becomes "shift responsibility."
At NotLan, we break the myth: Vulnerabilities don’t care what your scanner missed. Attackers don’t either.
✅ Companies over-rely on proprietary scanners to reduce costs and scale faster.
✅ Most reviews consist of validating tool output, nothing more.
✅ Creative attack paths, logic flaws, multi-step chains, and design weaknesses go entirely unchecked.
✅ Testing becomes an exercise in proving that the scanner works, not in finding real vulnerabilities.
✅ The false sense of security sets in:
"If the tool didn’t flag it, it doesn’t exist."
We go beyond tool outputs:
• Manual deep-dive code reviews led by experienced offensive security engineers
• Identification of logic flaws, privilege escalations, and business rule abuses
• Attack surface expansion analysis: how internal code flows can lead to external exploitation
• Chained vulnerability simulation: combining multiple minor flaws into high-impact attack paths
• Secure design review: validating whether security controls are implemented correctly, not just present
Of course, tools have their place — but they are starting points, not substitutes for expert analysis.
Our code reviews align with established secure development and application security standards:
• OWASP Application Security Verification Standard (ASVS)
• OWASP Secure Coding Practices
• OWASP Top 10 (Web, API, Cloud, LLMs)
• CWE Top 25 Most Dangerous Software Errors
• NIST Secure Software Development Framework (SSDF)
• PTES alignment for organizations requiring full-scope offensive validation
• Custom threat modeling for business-critical, proprietary, and financial-grade systems
We tailor every review based on your stack, language, business model, and threat profile.
✅ We analyze how your code can be abused, not just how it violates policies.
✅ We identify attack chains that scanners miss entirely.
✅ We assess business logic flaws where the highest risks hide.
✅ We collaborate directly with your engineers, ensuring not just findings, but understanding.
• Web & Backend: Python, Java, Golang, Node.js, PHP, Ruby, .NET, Rust, C/C++
• Blockchain & Smart Contracts: Solidity, Vyper, Rust, Golang
• AI & LLM Systems: Python (RAG pipelines, orchestration, model serving APIs)
• API & Microservices: REST, GraphQL, gRPC, WebSockets
Tools find patterns.
Attackers exploit logic.
We test like the attacker, not like the scanner.
Secure your code before attackers reverse-engineer your logic.