There are numerous document editing solutions on the market, but only some are compatible with all file formats. Some tools are, on the contrary, versatile yet burdensome to work with. DocHub provides the solution to these hassles with its cloud-based editor. It offers powerful capabilities that allow you to accomplish your document management tasks effectively. If you need to promptly Tack PII in LOG, DocHub is the perfect option for you!
Our process is incredibly easy: you upload your LOG file to our editor → it automatically transforms it to an editable format → you make all required changes and professionally update it. You only need a few minutes to get your work ready.
As soon as all adjustments are applied, you can turn your paperwork into a reusable template. You simply need to go to our editor’s left-side Menu and click on Actions → Convert to Template. You’ll locate your paperwork stored in a separate folder in your Dashboard, saving you time the next time you need the same template. Try out DocHub today!
Hi - my name is Luke Cartey and Im 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, well be looking at a open source e-commerce platform called Shopizer. It s written in Java and well be trying to see whether we can find any of any PII vulnerabilities in Shopizer. Now in order to do that were going to need to find a way to identify personal identifiable information in the source code. Unfortunately, Shopizer as with many applications doesnt have any sort of semantic markers in the code that tell you what is PII. So what going to do is were 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 wildcard character. Basically were saying here were l