AppSec Village — DEF CON 2026

Compression Dictionary Transport (RFC 9842) shipped in Chrome 130+ in 2025. Any JavaScript asset designated as a dictionary becomes a set of gadgets an attacker can chain into responses that bypass signature-based WAFs and IDSes. gadget-scanner is the a tool to evaluate that surface: drop in a candidate dictionary and a payload, and it reports how much of the payload hides inside backreferences and how much leaks as literal bytes on the wire. At the table you will score real-world JS libraries as attack primitives, generate the DCB blob with brotli -D, and watch the side-by-side: the raw bytes a WAF would see vs. the payload a browser would execute

ResearchersLenin Alevski MX

Most vulnerabilities aren't found because teams lack tools they persist because the cost of fixing them is too high. A finding without a concrete, context-aware fix is just noise developers learn to ignore. This talk walks through three real-world attack scenarios a secret leaked into git history, a compromised dependency in a supply chain attack, and an injection vulnerability introduced in a PR and shows how each is detected, mapped to OWASP Top 10:2025, and automatically remediated using AI running entirely on local infrastructure. No source code leaves the machine. The AI receives the vulnerable code block, CWE identifier, CVSS score, and OWASP category and returns a fix that is specific, correct, and ready to apply. Attendees leave with a working open-source tool and a new mental model for what AppSec remediation can look like.

ResearchersFilipi Pires BR

Let's talk about some critical infrastructure that millions of people use every day: Public transportation. In this talk, I'll present some findings that I discovered in the public transportation ecosystem of one of the largest cities in Argentina, impacting more than 1.5 million people daily. Reading code, chaining vulnerabilities, weak access controls, and flawed internal designs, I got full access to core mobility systems, from buses to taxis, including DVRs, transport cards, user data, real-time tracking and administrative panels. We'll walk through the technical exploitation path, the real-world impact and the lessons learned.

ResearchersIgnacio Navarro AR

Drogonsec is an open-source, high-performance security scanner built for developers and CI/CD pipelines. In a single run, it combines four analysis engines: SAST for 20+ languages, SCA for dependency CVEs, secret detection with 50+ patterns (AWS, GCP, GitHub, JWTs, SSH keys), and IaC misconfiguration analysis for Terraform and Kubernetes, all mapped to OWASP Top 10:2025 and CWE, with CVSS 3.1 scoring and SARIF output for GitHub and Azure DevOps integration.

This Arsenal session will demo Drogonsec scanning real-world repositories live, showing findings across all four engines, explaining rule design decisions, and showcasing how teams can extend it with custom YAML rules. Attendees leave with a running tool they can drop into their pipelines the same day.

ResearchersFilipi Pires BR