A collection of operational incident response cheat sheets covering multiple security incident scenarios for CERT teams.
IRM-2022 (Incident Response Methodologies 2022) is a collection of operational incident response cheat sheets developed by CERT Société Générale. It provides easy-to-use best practices for handling various security incidents that CERT teams commonly encounter, with dedicated methodologies for each incident type.
CERT (Computer Emergency Response Team) professionals, security operations teams, and incident responders who need practical, actionable guidance for handling security incidents.
Developers choose IRM-2022 because it offers field-tested, operational incident response methodologies in an accessible cheat sheet format, created through collaboration between experienced CERT organizations and available under an open license.
Incident Response Methodologies 2022
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Provides dedicated methodologies for various security incidents CERT teams regularly encounter, covering multiple fields as stated in the README.
Offers practical, actionable best practices designed for real-world incident response scenarios, inspired by established sources like SANS and Lenny Zeltser.
Developed through partnership between CERT Société Générale and CERT aDvens, leveraging insights from multiple experienced CERT teams.
Includes French translations alongside English content, making it accessible to a wider audience, as mentioned in the collaborative work thanks.
Available under Creative Commons Attribution 3.0 Unported License, allowing free use, adaptation, and distribution without restrictive terms.
Based on the 2022 methodologies, it may lack updates for newer threats or incident types that have emerged since, as the README does not indicate ongoing development.
Consists solely of documentation cheat sheets without interactive elements, simulations, or automated tools for hands-on incident response practice.
Focused primarily on CERT team operations, which might not fully align with the structures or needs of smaller security teams or non-CERT organizations.
Heavily inspired by SANS and Lenny Zeltser, so it may not offer unique methodologies beyond these established references, as admitted in the README.