Fill in PII in LOG

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Aug 6th, 2022
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How to fill in PII in LOG

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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

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Using Log Masking Libraries: There are third-party libraries and tools specifically designed for log masking, such as Logback Masking Layout or Slf4j Masking Layout. These libraries provide configurable masking strategies and make it easier to mask sensitive information in log messages.
When using REST Assured, whats the best method of keeping sensitive data out of the log? Use a blacklist to prevent sensitive data from appearing in the log.
CloudWatch Logs data protection can find the following types of personally identifiable information (PII). If you set a data protection policy, CloudWatch Logs scans for the data identifiers that you specify no matter what geolocation the log group is located in.
Examples of personally identifiable information (PII) include : Social security number (SSN), passport number, drivers license number, taxpayer identification number, patient identification number, and financial account or credit card number. Personal address and phone number.
Keep PII Out of URLs To avoid this, you should replace the use of sensitive user identifiers in URLs like names and emails with an arbitrary ID. This could be the row ID of the user, or if you need different URLs to map to different field values you could utilize ization here as well.
The following are considered examples of PII: Full name/usernames. Home address/mailing address. Email address.
ization is another effective technique for concealing sensitive information in logs. Unlike masking, which removes sensitive data completely, ization generates random representations (s) of the original data. These s are then logged instead of the actual sensitive information.
Encrypt sensitive files. Encryption is a process that renders data unreadable to anyone except those who have the appropriate password or key. By encrypting sensitive files (by using file passwords, for example), you can protect them from being read or used by those who are not entitled to do either.

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