'Reverse engineers malware written in less-common compiled languages (Nim, Crystal,
Scanned 9/11/2026
Install to Claude Code
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---
name: reverse-engineering-nim-and-other-exotic-binaries
description: 'Reverse engineers malware written in less-common compiled languages (Nim, Crystal,
V, Zig, D) by detecting language-specific runtime signatures, name-mangling, and runtime strings
to orient analysis. Activates for requests to reverse Nim malware, identify the source language of
an exotic binary, or analyze Crystal/V/Zig/D compiled samples.'
domain: cybersecurity
subdomain: reverse-engineering
tags:
- reverse-engineering
- nim
- exotic-languages
- language-detection
- runtime
version: 1.0.0
author: analyst-ai-pack
license: Apache-2.0
mitre_attack:
- T1027
- T1587.001
- T1059
d3fend:
- D3-SDA
- D3-DA
references:
- 'Nim language manual (name mangling, runtime) — https://nim-lang.org/docs/manual.html'
- 'MITRE ATT&CK T1027 Obfuscated Files or Information — https://attack.mitre.org/techniques/T1027/'
---
# Reverse Engineering Nim and Other Exotic Binaries
## When to Use
- You have a compiled binary that is not C/C++/Go/Rust/.NET and need to identify its source
language (Nim, Crystal, V, Zig, D) to orient analysis.
- Symbol/runtime patterns are unfamiliar and you want language-specific landmarks.
**Do not use** this for already-supported languages (Go/Rust have dedicated skills). This skill
reads the binary statically and executes nothing.
## Prerequisites
- The binary (read inertly).
## Safety & Handling
- Read bytes statically; treat strings as untrusted.
## Workflow
### Step 1: Detect the source language
```bash
python scripts/analyst.py detect sample.bin
```
Scans for language runtime signatures: Nim (`@m..nim`, `nimrtl`, `fatal.nim`, `stack trace`,
`@ /nim`), Crystal (`Crystal::`, `crystal-lang`), V (`vlib/`, `_vinit`), Zig (`zig`, `panic: `,
`std.builtin`), and D (`_Dmain`, `core.runtime`, `TypeInfo_`).
### Step 2: Locate runtime landmarks
Use the detected language's panic/exception and module strings to find `main`/init and error paths.
### Step 3: Handle name mangling
Apply the language's mangling convention (e.g., Nim's `proc__module_NNN`) to recover readable
names.
### Step 4: Proceed with analysis
With the language identified, analyze logic; many exotic-language samples wrap the same C2/loader
behavior.
## Validation
- Language detection is based on multiple corroborating runtime strings, not one weak hit.
- Identified landmarks (panic/init) are consistent with the language.
- Name demangling matches the language's documented scheme.
## Pitfalls
- Statically linked C runtime strings causing misclassification — weight language-specific markers.
- Stripped binaries with few runtime strings.
- Stagers in exotic languages that quickly hand off to shellcode.
## References
- See [`references/api-reference.md`](references/api-reference.md) for the detector.
- Nim manual and ATT&CK T1027 references (linked in frontmatter).
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