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Data Has A Better Idea. Photo by Stefan Steinbauer on Unsplash: https://unsplash.com/photos/1K6IQsQbizI

Vulnerabilities in Deep Learning

Deep Learning for vulnerability disclosure

Currently, data scientists have begun using AI (Artificial Intelligence) algorithms to solve problems from the data perspective. Data scientists have been working on problems related to areas like...



Parsing code. Photo by Markus Spiske on Unsplash: https://unsplash.com/photos/hvSr_CVecVI

Parse and Conquer

Why Asserts uses Parser combinators

As you might have noticed, at Fluid Attacks we like parser combinators, functional programming, and, of course, Python. In the parser article, I showed you the essentials of Pyparsing and we also...



Git On Steroids

Git on steroids

From messy logs to Data Analytics

There is a universal law that anyone in the tech world should know: If you ask a programmer to do something, he/she will do it their way. Even though creativity, abstract thinking, and putting...



Pickled cucumbers

Gherkin on steroids

How to document detailed attack vectors

In the field of information security, finding all vulnerabilities is as important as reporting them as soon as possible. For that, we need an effective means to communicate with all stakeholders....



Cucumber slices

Is your app in a pickle?

Documenting vulnerabilities with gherkin

Gherkin is a simple language that can be used for software documentation and testing. It can be thought of as a tool for communication between stakeholders and developers which helps minimize...



Doll using a magnifying glass while searching through a set of data

Symbolic execution for mortals

What is it and how it works

In 2003 the Defense Advanced Research Projects Agency, DARPA, announced the Cyber Grand Challenge, a two-year competition seeking to create automatic systems for vulnerability detection,...



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