Aurora-Incident-Response VS pdfalyzer

Compare Aurora-Incident-Response vs pdfalyzer and see what are their differences.

Aurora-Incident-Response

Incident Response Documentation made easy. Developed by Incident Responders for Incident Responders (by cyb3rfox)
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Aurora-Incident-Response pdfalyzer
6 8
726 221
- -
0.0 8.3
7 months ago 29 days ago
JavaScript Python
Apache License 2.0 GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Aurora-Incident-Response

Posts with mentions or reviews of Aurora-Incident-Response. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-21.

pdfalyzer

Posts with mentions or reviews of pdfalyzer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-10.

What are some alternatives?

When comparing Aurora-Incident-Response and pdfalyzer you can also consider the following projects:

TheHive - TheHive: a Scalable, Open Source and Free Security Incident Response Platform

peepdf - Powerful Python tool to analyze PDF documents

response - Monzo's real-time incident response and reporting tool ⚡️

pypdfium2 - Python bindings to PDFium

iris-web - Collaborative Incident Response platform

Malware-IOCs

dfirtrack - DFIRTrack - The Incident Response Tracking Application

DidierStevensSuite - Please no pull requests for this repository. Thanks!

FIR - Fast Incident Response

SysmonForLinux

mediator - a medium inspired jekyll theme

CyberPipe - An easy to use PowerShell script to collect memory and disk forensics for DFIR investigations.