protocol-fuzzer
Expert skill for protocol fuzzing, vulnerability discovery, and security testing
Best use case
protocol-fuzzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert skill for protocol fuzzing, vulnerability discovery, and security testing
Teams using protocol-fuzzer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/protocol-fuzzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How protocol-fuzzer Compares
| Feature / Agent | protocol-fuzzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert skill for protocol fuzzing, vulnerability discovery, and security testing
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Protocol Fuzzer Skill
Expert skill for protocol fuzzing, vulnerability discovery, and security testing of network protocols.
## Capabilities
- **Fuzzer Configuration**: Configure AFL++, libFuzzer, boofuzz, and Peach Fuzzer
- **Mutation Strategy Design**: Generate effective mutation strategies for different protocols
- **Coverage Analysis**: Analyze code coverage and crash reports
- **Grammar Definition**: Create protocol grammar definitions for structured fuzzing
- **Vulnerability Detection**: Detect crash patterns, memory corruption, and security vulnerabilities
- **Test Case Generation**: Generate reproducible test cases from fuzzing results
- **Crash Triage**: Analyze and deduplicate crash reports
- **Security Reporting**: Generate security vulnerability reports
## Tools and Dependencies
- `AFL++` - American Fuzzy Lop Plus Plus
- `libFuzzer` - LLVM-based in-process fuzzer
- `boofuzz` - Network protocol fuzzer (Sulley successor)
- `Peach Fuzzer` - Smart fuzzing framework
- `radamsa` - General-purpose fuzzer
- `honggfuzz` - Security-oriented fuzzer
## Target Processes
- protocol-fuzzer.js
- binary-protocol-parser.js
- network-testing-framework.js
## Usage Examples
### Boofuzz Protocol Fuzzing
```python
from boofuzz import *
session = Session(target=Target(connection=TCPSocketConnection("127.0.0.1", 8080)))
s_initialize("HTTP Request")
s_string("GET", fuzzable=False)
s_delim(" ", fuzzable=False)
s_string("/", name="path")
s_static("\r\n\r\n")
session.connect(s_get("HTTP Request"))
session.fuzz()
```
### AFL++ Instrumented Fuzzing
```bash
afl-fuzz -i input_corpus -o findings -M main -- ./target @@
afl-cov -d findings --coverage-cmd "./target AFL_FILE" --code-dir src/
```
### Crash Analysis
```bash
afl-analyze -i crash_file -- ./target @@
```
## Quality Gates
- Coverage threshold achieved
- No critical vulnerabilities found
- All crashes triaged
- Reproducible test cases generated
- Security report completedRelated Skills
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