Jose Selvi

In the following blog post, we explore how overfitting can affect Large Language Models (LLMs) in particular, since this technology is used in the most promising AI technologies we see today (chatGPT, LLaMa, Bard, etc). Furthermore, by exploring the likelihood of inferring data from the dataset, we will determine how…

If you frequently deliver source code review assessments of products, including machine learning components, I’m sure you are used to reviewing Jupyter Notebook files (usually python). Although I spend most of my time reviewing the source code manually, I also use static analysis tools such as semgrep, using both public…

Written by Jose Selvi and Thomas Atkinson If you are a Machine Learning (ML) enthusiast like us, you may recall our blogpost series from 2019 regarding Project Ava, which documented our experiments in using ML techniques to automate web application security testing tasks. In February 2020 we set out to…

Have you ever heard about Prompt Injection Attacks[1]? Prompt Injection is a new vulnerability that is affecting some AI/ML models and, in particular, certain types of language models using prompt-based learning.  This vulnerability was initially reported to OpenAI by Jon Cefalu (May 2022)[2] but it was kept in a responsible…

In this post we show how to import WStalker output into Burp Suite and the Logger++ extension to build a sitemap from a recorded session for use in Intruder and Repeater.

Have you ever faced a situation where you have a number of web services to test but no one is able to provide full working examples of each API call? WStalker is a work aid to help developers / functional testers record API traffic to help facilitate security assessments by…