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lure — Local Linux binary analysis tool. Zero cloud. Zero root. See exactly what a binary does before you run it. | Kitploit
Tools/GitHubGitHub/0xusmanismail/lure
Static AnalysisDynamic Analysis (Sandboxing)Reverse EngineeringForensicsMalware AnalysisCTFBinary Analysis
GitHub0xusmanismail/lure

lure

Local Linux binary analysis tool. Zero cloud. Zero root. See exactly what a binary does before you run it.

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lure

Local Linux binary analysis. Zero cloud. Zero root. Zero cost.

Lure demo

⚠️ Early development (v0.5.0). Core features (inspect, run, diff) work end to end on x86_64 Linux. This is a young project — expect rough edges, limited error handling on unusual inputs, and missing features. Bug reports, feedback, and contributions are very welcome. Network and filesystem isolation are enforced by default; if mount namespace setup fails on your system, Lure falls back to network-only isolation and says so clearly in the report.

Lure dangerous verdict

What it does

Lure runs an untrusted Linux binary in an isolated environment (user, network, mount, and PID namespaces + strace) and tells you exactly what it did — which files it touched, what network connections it tried, what processes it spawned — then gives you a plain verdict: CLEAN, SUSPICIOUS, or DANGEROUS.

Everything happens on your machine. Nothing is uploaded anywhere.

Why

  • Privacy — sensitive or client samples never leave your machine
  • Zero setup — no VM, no Docker, no Cuckoo install process
  • Readable — structured reports instead of raw strace noise
  • Free — MIT licensed, runs on tools already on Kali Linux

Isolation model

Lure uses Linux user, network, mount, and PID namespaces. The binary runs in an isolated filesystem root with read-only access to system libraries. It cannot modify the host filesystem. Network connections are blocked by default. Lure is primarily a behavioral observation tool, not a hardened sandbox — for stronger isolation (seccomp, cgroups), run Lure inside a VM or container.

Install

From PyPI (recommended)

root@kitploit:~
pip install lure-analyze --break-system-packages
lure --version

From source

root@kitploit:~
git clone https://github.com/0xusmanismail/lure.git
cd lure
pip install -e . --break-system-packages

Note: the PyPI package is named lure-analyze because "lure" was already taken. The command is still lure.

The --break-system-packages flag is required on Arch Linux and on recent Debian/Ubuntu releases, which restrict installing into the system Python environment by default (PEP 668).

Requires strace and unshare installed.

Tested on

  • Arch Linux (primary development platform)
  • Kali Linux
  • Debian / Ubuntu

Usage

Inspect a binary

root@kitploit:~
lure inspect /bin/ls

Reads ELF headers, architecture, security mitigations, linked libraries, and file hashes — without executing a single byte of code.

inspect

Run a binary in the sandbox

root@kitploit:~
lure run ./suspicious_binary

Live feed of file access, network attempts, and spawned processes, followed by a full behavioral report.

run live feed

run report

Catch suspicious behavior

root@kitploit:~
lure run ./demo_dangerous

Sensitive file access combined with network activity trips a DANGEROUS verdict, with the exact triggers listed.

Lure catching dangerous behavior

Compare two runs with lure diff

root@kitploit:~
lure run --save /bin/ls
lure run --save /bin/echo
lure diff report1.json report2.json

Shows new/removed files, new connections, verdict changes, and syscall count differences between two saved runs.

diff output

Save a report

root@kitploit:~
lure run --save ./binary

Saves the full report to ~/.lure/reports/ as both a plain-text .txt file and a structured .json file.

Status & Roadmap

Working now:

  • ELF inspection with security mitigation detection
  • UPX packer detection in inspect
  • Sandboxed execution via unshare + strace
  • Mount + PID namespace isolation with a minimal read-only chroot
  • Live event feed during execution
  • Full behavioral report with CLEAN/SUSPICIOUS/DANGEROUS verdict
  • Verdict shows exact triggering files and IPs
  • Report saving (plain text + JSON)
  • Report comparison via lure diff
  • Non-ELF file detection with clean error messages
  • Works on Arch Linux, Kali, Debian, Ubuntu
  • Available on PyPI as lure-analyze
  • Demo GIF in README

Planned:

  • Automated test suite
  • seccomp syscall filtering
  • ARM64 binary support
  • Windows PE analysis (via Wine)

License

MIT — see LICENSE

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