Many people find the process to modify PII in text rather challenging, particularly if they don't regularly work with documents. Nonetheless, nowadays, you no longer have to suffer through long tutorials or wait hours for the editing software to install. DocHub lets you modify documents on their web browser without setting up new applications. What's more, our powerful service offers a full set of tools for professional document management, unlike so many other online solutions. That’s right. You no longer have to donwload and re-upload your templates so frequently - you can do it all in one go!
No matter what type of document you need to adjust, the process is easy. Make the most of our professional online service with DocHub!
Hi - my name is Luke Cartey and Iamp;#39;m a member of the field engineering team here at Semmle. This video is about writing a QL query to find sensitive or personally identifiable information, so called PII, that gets written to log files and application runtime. Today, weamp;#39;ll be looking at a open source e-commerce platform called Shopizer. Itamp;#39; s written in Java and weamp;#39;ll be trying to see whether we can find any of any PII vulnerabilities in Shopizer. Now in order to do that weamp;#39;re going to need to find a way to identify personal identifiable information in the source code. Unfortunately, Shopizer as with many applications doesnamp;#39;t have any sort of semantic markers in the code that tell you what is PII. So what going to do is weamp;#39;re going to start off by writing a heuristic query that selects all fields in the program whose name matches either email percentage credit card percentage or percentage phone percentage. This percentage here is a