ProjectDiscovery

Your code editor extensions auto-update and run with your privileges on the machine that holds your source code, your SSH keys, and your publishing credentials, but they rarely show up in a software bill of materials. Using Neo we audited one of the most

What closed and open models actually do when you tell them to hack a website Summary The cybersecurity capability of a model is currently measured by a solve rate, a percentage, and that number tells you almost nothing worth knowing. It doesn't tell you h

Yesterday, Hugging Face came out saying they'd detected an AI autonomous-agent-powered cyberattack and that they had to use open-source models to actually investigate and remediate it. Later we heard from OpenAI that their agent was responsible; it happen

Most breaches don't begin with a zero-day but with something ordinary like a forgotten server, an unmanaged network device, a service reachable across a segment that was supposed to be isolated. Internal scanning was supposed to catch exactly that but mos

"Open source isn't about perfection; it's about putting an idea forward and improving it together as a community." Rishi (@rxerium) If you've spent any time in the Nuclei Templates repository, you've almost certainly run something Rishi engineered. With o

How CVE volume, known-exploited counts and time-to-exploit all changed shape across the LLM build-out and why defenders are now on the wrong side of the clock. In 2018 the world published about 18,000 CVEs and the average vulnerability took roughly two mo

The security findings that end up in incident post-mortems rarely looked dangerous in the PR that introduced them. Not because anyone was careless but because there's nothing in the change that looks wrong. The code does exactly what it says but the probl

Our first engineering post covered prompt caching, the infrastructure change that made long-running agentic tasks economically viable. That post assumed a multi-step, multi-agent system already existed. It did not exist on day one. When we started buildin

Most AI security tooling shipped over the last year focuses on one of two workflows, code review at PR time or zero-day research in open-source software. Models in PR pipelines now flag insecure patterns at every commit and autonomous research runs have p