Written by: Beleswar Prasad Padhi, Tina Johnson, Michael Bailey, Elliot Chernofsky, Blas Kojusner
FakeNet-NG is a dynamic network analysis tool that captures network requests and simulates network services to aid in malware research. The FLARE team is committed to maintaining and updating the tool to improve its capabilities and usability. FakeNet is compatible across platforms and extensively customizable; however, we recognized a need to present captured network data in a more intuitive and user-friendly way to help you quickly identify relevant Network-Based Indicators (NBIs). To address this challenge and further enhance the usability, we extended FakeNet-NG to generate HTML-based output that enables you to view, explore, and share captured network data.
This feature was implemented by Beleswar Prasad Padhi as part of a Google Summer of Code (GSoC) project that the Mandiant FLARE team mentored in 2023. To learn more about the program and our open-source contributors, check out the introductory post.
Interactive HTML-Based Output
FakeNet-NG\'s new interactive output is backed by an HTML page coupled with inline CSS and Javascript. Figure 1 shows the new HTML-based output and Figure 2 shows FakeNet-NG\'s existing text-based output.
Figure 1: FakeNet-NG\'s new HTML-based output
Figure 2: FakeNet-NG\'s text-based output
FakeNet-NG generates each report using a
Notes
★★
Envoyé
Oui
Condensat
2023
Tags
Malware
Tool
Cloud
Stories
Move
L'article ne semble pas avoir été repris aprés sa publication.
L'article ne semble pas avoir été repris sur un précédent.