Qu1cksc0pe
All-in-One malware analysis tool.
No outside reports on file
Using malware analysis tools safely requires proper system isolation, strong understanding of the tool's limitations, and careful handling of actual malicious samples.
Based on public adoption and transparency signals as of Oct 21, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (CYB3RMX/Qu1cksc0pe)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/CYB3RMX/Qu1cksc0pe ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-21.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Qu1cksc0pe
Qu1cksc0pe is a malware analysis tool that scans files and suspicious code to identify threats. It appears designed to run locally and analyze suspicious samples without needing to send them to external services.
Who it’s for
Security researchers and IT professionals who need to examine potentially dangerous files on their own systems. It may be used by teams that want to analyze malware in a controlled environment.
Alternatives
- VirusTotal (web-based, free file submission service for scanning with many antivirus engines)
- Cuckoo Sandbox (open-source automated malware analysis system)
- Any.run (interactive online sandbox for dynamic malware analysis)
- YARA (pattern-matching engine for malware research and detection rules)
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README. This tool is not an npm package; it appears to be a standalone application distributed via GitHub. Check the repository for installation instructions specific to your operating system.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 2.1k
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- File access: The tool reads files from your system and may need broad permissions to scan directories for threats.
- Malware exposure: Analyzing actual malware samples carries inherent risk if samples are not properly isolated; misconfiguration could spread threats.
- Code execution: Some analysis methods may execute or partially run suspicious code to observe behavior, which could be dangerous.
- Data in analysis results: Reports or logs from scanning could accidentally contain sensitive information from scanned files.
- Evasion tricks: Malware samples may use techniques designed to fool analysis tools, causing false negatives or unexpected behavior.
How to lower the risk
Least-privilege permissions
- Run the tool on a dedicated analysis machine or virtual machine, not your main computer.
- Use a user account with minimal permissions; never run as administrator unless absolutely required.
Network isolation
- Keep the analysis machine offline or on an isolated network segment.
- Disable network access during analysis to prevent samples from communicating with attackers.
Monitoring
- Log all analysis activity and review results carefully for unexpected behavior.
- Keep backups of suspicious samples in case you need to re-examine them later.
Red flags to watch for
- Unexpected network activity or file modifications during scans.
- Tool crashes, hangs, or unusual resource consumption that may indicate exploitation.
Questions
How do I install Qu1cksc0pe?
Qu1cksc0pe does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/CYB3RMX/Qu1cksc0pe.
Are there security reports about Qu1cksc0pe?
No reports found for this package in our research (last checked 2026-10-30). Qu1cksc0pe currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include file access, malware exposure, code execution.
Is Qu1cksc0pe actively maintained?
Qu1cksc0pe has 2.1k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/CYB3RMX/Qu1cksc0pe before pinning it in production.
What are alternatives to Qu1cksc0pe?
Notable alternatives to Qu1cksc0pe include VirusTotal, Cuckoo Sandbox, Any.run, YARA. You can also compare Qu1cksc0pe side by side with other MCP servers in the Related tools section on this page.
Key facts
- Type
- App connector
- Publisher
- CYB3RMX
- Source code
- github.com/CYB3RMX/Qu1cksc0pe
- Est. context load
- ~1k tokens / turn (~6 tool schemas, 0.5% of 200k context)
- Popularity
- 2.1k GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-21
Community
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