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google/rekallArchived

0
View on GitHub↗
www.rekall-forensic.com↗

Rekall

Rekall Memory Forensic Framework

Features

  • Memory Forensics - Framework for advanced memory forensic analysis.

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  • Forensics and Incident Response - Framework for extracting and analyzing digital artifacts.
  • Digital Forensics - Framework for memory analysis and forensic investigation.
  • Forensics and Incident Response - Advanced framework for memory analysis and forensics.
  • Memory Forensics - Framework for advanced memory forensic analysis.
  • 1,998 stars·403 forks·Python·GPL-2.0·35 views

    Star history

    Star history chart for google/rekallStar history chart for google/rekall

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Frequently asked questions

    What does google/rekall do?

    Rekall Memory Forensic Framework

    What are the main features of google/rekall?

    The main features of google/rekall are: Memory Forensics, Forensics and Incident Response, Digital Forensics.

    Which projects share features with google/rekall?

    Projects with overlapping indexed features include: ufrisk/memprocfs — MemProcFS is a volatile memory analysis tool and cross-platform memory acquisition system. It functions as a memory… volatilityfoundation/volatility — Volatility is a memory forensics framework and digital forensics tool designed to extract and analyze evidence from… google/grr — GRR is a distributed incident response platform and asynchronous forensic task orchestrator. It functions as a remote… velocidex/velociraptor — Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and… dfirkuiper/kuiper — Digital Forensics Investigation Platform. forensicartifacts/artifacts — Digital Forensics artifact repository.

    Projects sharing features with Rekall

    These projects share indexed features with Rekall. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • ufrisk/memprocfsufrisk avatar

      ufrisk/MemProcFS

      4,202View on GitHub↗

      MemProcFS is a volatile memory analysis tool and cross-platform memory acquisition system. It functions as a memory forensic virtual file system, mapping physical memory and kernel objects into a virtual directory structure that allows users to analyze system artifacts using standard file system tools. The project distinguishes itself by providing a virtual file system for memory forensics, enabling the browsing and querying of physical memory as read-only files and folders. It also incorporates a Yara-based memory scanner to identify malware signatures and injected code within physical memor

      C
      View on GitHub↗4,202
    • volatilityfoundation/volatilityvolatilityfoundation avatar

      volatilityfoundation/volatility

      7,971View on GitHub↗

      Volatility is a memory forensics framework and digital forensics tool designed to extract and analyze evidence from volatile computer memory dumps. It functions as a memory dump parser and analysis platform used to identify running processes, network connections, and loaded modules from a system RAM capture. The framework enables the reconstruction of system state to uncover malicious activity, such as rootkits and injected code, during malware incident response and threat hunting. It provides capabilities for digital forensic investigations to detect unauthorized access and indicators of com

      Pythonmalwarememorypython
      View on GitHub↗7,971
    • google/grrgoogle avatar

      google/grr

      5,110View on GitHub↗

      GRR is a distributed incident response platform and asynchronous forensic task orchestrator. It functions as a remote forensics framework designed to collect and analyze volatile data, system memory, and digital artifacts from remote hosts during security incident response. The system operates as a remote endpoint triage system, utilizing a coordinated architecture to manage a fleet of agents. It enables the execution of investigative tasks across multiple systems, allowing for the search of files and registries across a large fleet of machines to identify compromised hosts. The platform pro

      Python
      View on GitHub↗5,110
    • velocidex/velociraptorVelocidex avatar

      Velocidex/velociraptor

      4,427View on GitHub↗

      Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and visibility tool. It provides a query engine and remote forensic collector used to hunt for indicators of compromise and perform triage across a fleet of hosts. The system is distinguished by its specialized query language for interrogating host state and parsing binary files. It features a notebook environment that combines markdown documentation with executable query cells to standardize investigative workflows and enable collaborative reporting. The platform covers a wide range o

      Godigital-forensicsendpoint-discoveryendpoint-protection
      View on GitHub↗4,427
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