1 pointby l1ttps19 days ago1 comment
  • csp_dev19 days ago
    Congrats on the launch. Open-source ASM is desperately needed.

    Looking at this, I'm thinking about the evolution of the external attack surface. It's not just about finding assets anymore, but understanding their security posture in depth with minimal intrusion.

    This connects to work I'm doing on "zero-knowledge" security protocols. Imagine your platform discovers a web app, and a next-generation, privacy-aware scanner could then check for credential exposure (using a protocol that doesn't expose the creds) or misconfigurations without collecting sensitive payloads.

    A technical question/thought: For asset discovery and fingerprinting at scale, how do you handle the privacy/data minimization aspect? For instance, when your scanner encounters a login page, is there a consideration for what signals are collected and stored? As we build more autonomous security scanners (and later, AI agents), baking in privacy-by-design from the start seems critical.

    Tools like Open-ASM that map the territory will be the foundation for a new wave of respectful, efficient security testing. Excited to see this.

    • l1ttps18 days ago
      In practice, we aim to identify as many real risks as possible across the external attack surface, since expanding visibility is what most improves an administrator’s understanding of their system. From our perspective, broad and accurate risk discovery is a prerequisite for effective security management, and it should be balanced with intentional choices around how deeply we inspect and what data we persist.
      • csp_dev16 days ago
        Fully agree that broad, accurate discovery is the crucial first step. My point is about how we achieve the depth. The goal is deeper inspection through privacy-aware protocols like a scanner proving a login page is vulnerable without ever seeing credentials—so administrators get comprehensive risk understanding without the data liability.