LLMs Generate Vulnerable C/C++ Code: Self-Review...

Introduction Large Language Models (LLMs) exhibit a systemic propensity to generate C/C++ code that, while syntactically valid, is inherently insecure. A rigorous analysis employing formal verification via the Z3 SMT solver exposes a critical failure mode: 55.8% of LLM-generated C/C++ code harbors verifiable security vulnerabilities. Compounding this issue, 97.8% of these flaws evade detection by industry-standard static analysis tools such as CodeQL, Semgrep, and Cppcheck. Paradoxically, LLMs d