- #REDACTED IMAGE PDF#
- #REDACTED IMAGE CODE#
Normally you will have a section of clear text (where the font and font size is fairly simple to ascertain) alongside a section which has been redacted through pixelation.Īs he describes it, Petro's tool sees through the pixelation letter by letter - cycling through the possible letters until the most likely solution is found: "Basically, we guess the letter “a”, pixelate that letter, and see how well it matches up to our redacted image.
That the contents of the redaction is actually textįrankly, those aren't hard to ascertain - because redacted text is rarely shown in isolation. What size of font is being used in the redacted text. What font the redacted text is written in. In order to do its work, all Unredacter needs to know is: Petro is the author of a tool called Unredacter that can take "redacted documents" and retrieve the original words from pixelated text. or indeed blurring it, or even applying a "swirl" filter.Īs Dan Petro, a researcher at Bishop Fox explains, you should "never, ever, ever use pixelation for redacting text." Well, a new tool makes crystal clear that it's a big mistake to redact text by pixelating it. What should you do? You should redact the offending part of the image. Maybe part of the image is somebody's phone number, or email address, or another piece of personal data that would be inappropriate to share publicly. Get the codeĬlone this github repository go to the root of the repository.Imagine you want to publish online an image of a document, but there are parts of it which you want to remain confidential. 
Create a project and enable billingįollow the steps in this guide. The following steps should be executed in Cloud Shell in the Google Cloud Console.
BigQuery dataset and table where findings will be written. You can modify the dlp.tf file to specify your own INFO_TYPES and Rule Sets (refer to terraform documentation for dlp templates) .1.jpg "redacted image")
DLP template where InfoTypes and rules are specified. Output Bucket - bucket where the redacted file is stored. Working Bucket - a working bucket in which all temp files will be stored as throughout the different workflow stages. Input Bucket - bucket where the original file is stored. findings-writer - Writes findings into BigQuery. #REDACTED IMAGE PDF#
pdf-merger - Assembles back the pages into a single PDF. dlp-runner - Runs each page file through DLP to redact sensitive information. pdf-spliter - Split PDF into single-page image files. CloudRun services for each component with its service accounts and permissions. #REDACTED IMAGE CODE#
The terraform folder contains the code needed to deploy the PDF Redaction application.
Write redacted quotes (findings) to BigQuery. Assemble back the PDF file from the list of redacted images and store it on GCS (output bucket). Redact each image using DLP Image Redact API. 
Split the PDF into single pages, convert pages into images, and store them in a working bucket.The workflow consists of the following steps: The Function starts a Workflow to orchestrate the PDF file redaction.The user uploads a PDF file to a GCS bucket.The image below describes the solution architecture of the pdf redaction process. This solution provides an automated, serverless way to redact sensitive data from PDF files using Google Cloud Services like Data Loss Prevention (DLP), Cloud Workflows, and Cloud Run.
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