Scanner Results Are a Starting Point. Here’s What Comes Next. – Federico Kirschbaum – ASW #386
Scanner Results Are a Starting Point. Here’s What Comes Next. – Federico Kirschbaum – ASW #386
Publish Date: 2026-06-09 05:00:00
Source Domain: www.scmagazine.com
Deep Dive into Vuln Discovery and Code Quality
The article explores the intricacies of discovering vulnerabilities (vulns) in protocols and their implementations, arguing that these findings highlight the importance of precision in specifications and meticulous attention to detail in code quality. The discourse shifts from traditional methods of vulnerability discovery by humans and tools to the burgeoning role of agents and language models (LLMs), which are often framed as revealing insights that previous human scrutiny had overlooked. However, the author contends that while it’s true these agents and LLMs have unearthed vulnerabilities, humans have also identified longstanding and newly surfaced issues in well-reviewed code. Consequently, the primary focus should not merely be on vulnerability discovery but rather on the overarching quality and design considerations embedded within the code from conception to implementation. The major leap forward needed would involve prioritizing and enhancing these foundational aspects of code quality and design.
Key Points:
- Attention to precision and detail in specifications significantly affects code quality and vulnerability discovery.
- Both tools and experienced security researchers can and have found long-standing vulnerabilities, indicating that agents and LLMs uncovering existing vulnerabilities are not fundamentally novel but complementary.
- The article underscores the importance of focusing on design and code quality to proactively prevent vulnerabilities, rather than solely relying on post-hoc discovery methods.
- While vulnerability discovery is crucial, the real breakthrough lies in embedding quality and thorough design into the very fabric of code development.
- There’s a need to frame the discovery of existing vulnerabilities by agents and LLMs in the context of continuous human oversight and enhancement of code quality.
