Faint PII in LOG smoothly

Aug 6th, 2022
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Have you ever had trouble with modifying your LOG document while on the go? Well, DocHub has an excellent solution for that! Access this online editor from any internet-connected device. It enables users to Faint PII in LOG files rapidly and anytime needed.

DocHub will surprise you with what it provides you with. It has powerful capabilities to make whatever changes you want to your forms. And its interface is so easy-to-use that the whole process from start to finish will take you only a few clicks.

Check out DocHub’s features while you Faint PII in LOG files:

  1. Upload your LOG from your device, an email attachment, cloud storage, or via a URL.
  2. Create new content by clicking on our Text button above, and change its color, size, and fonts as required.
  3. Click on our Strikeout or Whiteout tools to erase details that just don’t seem right any longer.
  4. Make visual changes by drawing or placing pictures, lines, and symbols.
  5. Highlight important details in your documentation.
  6. Click on the Comment option to note your most significant changes.
  7. Turn your LOG file into a fillable form by clicking on the Manage Fields tool.
  8. Place fields for various types of data.
  9. Assign Roles to your fields and set them mandatory or optional to make sure parties fill them out correctly.
  10. Add Signature Fields and click on Sign to approve your paperwork yourself.
  11. Choose how you share your form - via email or using a shareable link.

After you finish adjusting and sharing, you can save your updated LOG file on your device or to the cloud as it is or with an Audit Trail that includes all alterations applied. Also, you can save your paperwork in its original version or turn it into a multi-use template - complete any document management task from anywhere with DocHub. Subscribe today!

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How to Faint PII in LOG

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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

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Personally Identifiable Information (PII)
Personal Identifiable Information (PII) is defined as: Any representation of information that permits the identity of an individual to whom the information applies to be reasonably inferred by either direct or indirect means.
Many events in Auth0 tenant logs can contain personally identifiable information (PII). Authentication events trigger log entries that can include users PII.
Personally Identifiable Information (PII): This includes data like full names, addresses, email address, drivers license number, and phone number.
PII is any information that could be used to identify an individual such as a persons login details, date of birth, or home address. By default, any standard or custom fields for users or customers are flagged as PII.
Keeping PII and PHI Out of Your Logs. Many developers make use of common-sense techniques to keep certain sensitive information out of logs for example, by filtering out passwords or IP addresses. These are no-brainers. But, making sure PII and PHI arent logged is especially important.
For logging PII data fields, we replace all the characters with a hash of the original value keeping the length of the string the same. We also allow the programmer to specify how many characters to show or keep without masking. For example, when we log the social security number, we do show the last 4 digits.
The main concept is that when event log files are created, they capture information that may contain PII.

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