Taint Analysis: Closing the Gaps Before Attackers Find Them
How Taint Analysis Helps Secure Applications: Data flow tracking explained with CWE examples
Insecure data handling is one of the most common root causes of software vulnerabilities—from code injections to the accidental leakage of sensitive information. If left undetected, it can have major consequences like avoidable extra costs from recalls or leading to dangerous circumstances.
Taint analysis is a static code analysis technique that helps detect these issues early by tracking how untrusted data flows through an application.
In this webinar, Dr. Sebastian Krings and Martin Mory explore the power and versatility of taint analysis through real-world examples, using well-known CWE (Common Weakness Enumeration) categories to demonstrate where and how it applies.
You’ll learn how taint tracking can identify risky data paths, enforce security properties, and reveal vulnerabilities that are easy to miss with manual inspection. Our experts will cover common implementation challenges—like over-tainting, under-tainting, and handling sanitization—and you'll see how modern tools can overcome these hurdles. You'll leave with a clear understanding of how taint analysis supports more secure, reliable software.
Oh, here is more
Webinar: The Cyber Resilience Act: What Waiting is Costing US Software Teams
Starting September 11, 2026, the EU Cyber Resilience Act (CRA) requires companies to report actively...
Watch VideoWebinar: Architecture-Guided Migration to Rust
Rust promises memory safety and modern tooling — but migrating a large, safety-critical C or C++ cod...
Watch VideoOn-Demand Webinar: CI/CD and Continuous Compliance of Embedded Software for Aerospace and Defense
Today, CI/CD for pure software products is well understood. But hardware dependencies and embedded d...
Watch VideoDe-Risking AI Playbooks: How to Build Visual UI Tests That Remain 100% Deterministic
Pixel-by-pixel UI testing is too brittle for modern release cycles, yet LLMs introduce a dangerous l...
Watch Video