ridgelinecyberdefence

ridgelinecyberdefence / vanguard

Public

Cross-platform incident response toolkit. 28 pre-built use cases, single binary, zero install. Memory, disk, network, and cloud collection with automated timeline generation.

github.comridgelinecyberdefencevanguard blue-team cybersecurity dfir forensics incident-response-management
71
2
100% credibility
Found May 08, 2026 at 71 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

VanGuard is a portable incident response toolkit that enables quick triage, threat hunting, memory forensics, and reporting from a single cross-platform binary.

How It Works

1
📥 Get the toolkit

You download one simple file and run it on your computer—no setup needed.

2
📋 Start a new case

Name your investigation, like 'Server Alert', and everything gets organized safely.

3
🔍 Gather clues quickly

Click to collect basic info from the suspicious computer, like running programs and connections.

4
🛡️ Hunt for threats

The tool scans everything automatically and flags anything suspicious, like hidden malware.

5
💾 Save deeper evidence

Grab a memory snapshot or key files to dig even further if needed.

📊 Get your report

Review the clear summary with all findings, ready to share with your team.

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Star Growth

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AI-Generated Review

What is vanguard?

Vanguard is a cross-platform incident response toolkit built in Go as a single portable binary—no installs needed. It collects memory dumps, disk artifacts, network data, and cloud logs from Windows and Linux systems, then auto-generates timelines and HTML reports with MITRE ATT&CK mappings. Unlike Riot Vanguard anti-cheat or Vanguard ETF trackers, this GitHub project (ridgelinecyberdefence/vanguard) streamlines DFIR workflows with 28 pre-built use cases for ransomware, lateral movement, and credential theft.

Why is it gaining traction?

It stands out with air-gapped compatibility, Velociraptor integration for agent deployment and hunts, and tamper-evident audit logs—perfect for enterprise IR without juggling tools. The dual TUI/web UI and zero-config remote ops via SSH/WinRM/PSExec make it faster than scripting custom collections, while evidence hashing ensures chain-of-custody integrity.

Who should use this?

DFIR analysts and SOC teams handling live incidents like BEC or rootkit hunts on mixed Windows/Linux fleets. Threat hunters needing quick triage on air-gapped endpoints, or responders deploying Velociraptor offline without full server setup.

Verdict

Grab it if you're evaluating cross-platform GitHub tools for IR—71 stars and 1.0% credibility score signal early maturity, but solid docs and pre-built binaries make it worth testing over fragmented alternatives. Polish the use cases for production scale.

(187 words)

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