Winfunc is an AI-powered application security platform that performs autonomous codebase audits to identify and prove exploitable vulnerabilities. It combines tree-sitter queries, language servers, and LLM analysis to build a semantic map of business logic, generating executable proof-of-concept exploits for every finding while guaranteeing zero false positives.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional security scanners rely on regex or shallow AST matching, producing high volumes of noisy findings that overwhelm security teams. These tools miss complex, context-dependent vulnerabilities such as race conditions, memory safety issues, and business logic flaws that require deep understanding of an application's specific architecture and workflows.
Solution
Winfunc provides an autonomous security audit platform that connects to GitHub repositories and performs deep-dive codebase analysis. The platform uses on-the-fly generated tree-sitter queries, plug-and-play language servers, and LLM-powered analysis to ingest codebase context with high accuracy, supporting all major programming languages. A formal verification engine mathematically proves the existence of vulnerabilities and generates executable Proof-of-Concept scripts that reproduce exploits in the customer's specific environment. Winfunc builds a semantic map of the application's business flow, understanding roles, permissions, and financial transactions to identify logical flaws like unauthorized fund transfers, price manipulation, and TOCTOU race conditions. The platform continuously scans every commit and automatically generates patches via pull requests, keeping applications protected against zero-day threats.
Target Audience
Primary customers are security teams and engineering organizations at software companies that need deep, context-aware vulnerability detection beyond what traditional SAST tools provide, particularly those with complex business logic or memory-sensitive codebases.
Features
- Formal verification engine that mathematically proves vulnerability existence and guarantees zero false positives
- Executable Proof-of-Concept scripts for every finding, reproducing exploits in the customer's specific environment
- Semantic mapping of business flow to identify logical flaws, including unauthorized fund transfers, price manipulation, and TOCTOU race conditions
- Support for all major programming languages including Haskell, Elixir, Clojure, and Lua through tree-sitter queries and LSP integration
- Automated patch generation via pull requests with continuous scanning of every commit
- SOC 2 certified with a public Trust Center for compliance verification