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Privado Alternatives
Similar projects and alternatives to privado
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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awesome-threat-modelling
A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.
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iabtcf-es
Official compliant tool suite for implementing the Transparency and Consent Framework (TCF) v2.0. The essential toolkit for CMPs.
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MastodonPrivacyGuide
A guide on data protection obligations, challenges & pitfalls for Mastodon Users & Instance Admins
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lunasec
LunaSec - Dependency Security Scanner that automatically notifies you about vulnerabilities like Log4Shell or node-ipc in your Pull Requests and Builds. Protect yourself in 30 seconds with the LunaTrace GitHub App: https://github.com/marketplace/lunatrace-by-lunasec/
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dastardly-github-action
Runs a scan using Dastardly by Burp Suite against a target site and creates a JUnit XML report for the scan on completion.
privado discussion
privado reviews and mentions
- Policy team rejects app update: "Invalid Data safety form"
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How to fill up Data Safety section correctly?
Try this tool to help you get it right: https://github.com/Privado-Inc/privado
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Issue found: Invalid Data safety form / I did as I was told but kept getting rejection emails?
Just use Privado. It will scan your code and automatically generate the data safety form results.
- App rejected: Issue found: Invalid Data safety form
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Mastodon's Privacy: Who actually holds your data in Mastodon
I love that Mastodon is decentralized. But as a privacy engineer, I was curious about how their app handles our data compared to what they claim in their privacy policy, so I analyzed their open-source app code in my privacy code scanning tool.
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Open Source privacy scanning tool to create data flows from code
u/SZenC great point, our scanning tool detects more than 120 data elements right out of the box. Right from Fitness Data, Health Data, Device Ids, Ratings & Reviews etc. You can see the entire list of data elements we discover here: https://github.com/Privado-Inc/privado/tree/main/rules/sources
Except for a few framework specific things (such as how route handlers are defined - eg. via annotations in Spring) our code analysis platform is framework agnostic. Our system works with major frameworks and we continually improve if we have to add extra support. I can foresee some minor work needed for Vert.x for example. Templating (eg. via JSP) is not supported, but we welcome all contributions!! Please raise an issue on the tracker: https://github.com/Privado-Inc/privado/issues
Tagging data elements as source: Here we are looking for variables with known PII patterns. We have over 150 data elements listed here as rules.
You can check out the tool at https://github.com/Privado-Inc/privado. Would love to hear about your feedback and contributions to the same.
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A note from our sponsor - SaaSHub
www.saashub.com | 6 Dec 2024
Stats
Privado-Inc/privado is an open source project licensed under GNU Lesser General Public License v3.0 only which is an OSI approved license.
The primary programming language of privado is Python.