performing-firmware-extraction-with-binwalk
Helps your agent extract and analyze firmware content. It finds files, file systems, and important information within them. It's useful for understanding what's inside devices like routers or embedded systems.
What it does
This tool analyzes the internal software (firmware) of electronic devices. It extracts and examines hidden files within this software to find important information, such as passwords, configurations, or system parts.
When to use it
- ✓When investigating firmware from a router or camera downloaded from the internet.
- ✓To look for hidden passwords or security keys within a device's software.
- ✓When analyzing a device's software to understand how it works or find vulnerabilities.
Example of what to ask your AI
“Analyze the firmware of this device and look for passwords or access keys.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool uses a program called 'binwalk' to scan the firmware. It identifies and extracts different types of files hidden inside, like file systems and compressed data, so you can examine them.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-firmware-extraction-with-binwalkOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/performing-firmware-extraction-with-binwalk/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Performing Firmware Extraction with Binwalk
When to Use
- Analyzing IoT device firmware downloaded from vendor sites or extracted from flash chips
- Reverse engineering router, camera, or embedded device firmware for vulnerability research
- Identifying embedded filesystems (SquashFS, CramFS, JFFS2, UBIFS) within firmware blobs
- Detecting encrypted or compressed regions using entropy analysis
- Extracting hardcoded credentials, API keys, certificates, or configuration files from firmware
- Performing security assessments of embedded devices in authorized penetration tests
Do not use for analyzing standard desktop application binaries or malware samples that are not firmware images; use dedicated malware analysis tools instead.
Prerequisites
- binwalk v3.x installed (
pip install binwalk3or from system package manager) - Python 3.8+ with standard libraries (struct, math, hashlib, subprocess)
- SquashFS tools (
unsquashfs) for mounting extracted SquashFS filesystems - Jefferson for JFFS2 filesystem extraction (
pip install jefferson) - Sasquatch for non-standard SquashFS variants used by vendors like TP-Link and D-Link
stringsutility (GNU binutils) for string extraction- Optional: firmware-mod-kit for repacking modified firmware images
Workflow
Step 1: Initial Firmware Reconnaissance
Perform a signature scan to identify embedded file types and their offsets:
# Basic signature scan - identify all recognized file types
binwalk firmware.bin
# Scan with verbose output showing confidence levels
binwalk -v firmware.bin
# Scan for specific file types only
binwalk -y "squashfs" firmware.bin
binwalk -y "gzip\|lzma\|xz" firmware.bin
# Opcode scan to identify CPU architecture
binwalk -A firmware.bin
# Scan for raw strings to find version info, URLs, credentials
binwalk -R "password" firmware.bin
binwalk -R "http://" firmware.bin
Step 2: Entropy Analysis
Analyze entropy to identify encrypted, compressed, and plaintext regions:
# Generate entropy plot
binwalk -E firmware.bin
# Entropy with specific block size for higher resolution
binwalk -E -K 256 firmware.bin
# Combined entropy and signature scan
binwalk -BE firmware.bin
Interpreting entropy values:
- 0.0 - 1.0: Empty or padding regions (null bytes, 0xFF fill)
- 1.0 - 5.0: Plaintext data, code, ASCII strings, configuration
- 5.0 - 7.0: Compressed data (gzip, LZMA, zlib)
- 7.0 - 7.99: Strongly compressed or encrypted data
- ~8.0: Maximum entropy, likely encrypted or random data
Step 3: Extract Embedded Files
Extract all identified components from the firmware image:
# Automatic extraction of known file types
binwalk -e firmware.bin
# Recursive extraction (matryoshka mode) for nested archives
binwalk -Me firmware.bin
# Recursive extraction with depth limit
binwalk -Me -d 5 firmware.bin
# Extract specific file type with custom handler
binwalk -D "squashfs filesystem:squashfs:unsquashfs %e" firmware.bin
# Manual extraction of data at a known offset
dd if=firmware.bin of=extracted.squashfs bs=1 skip=327680 count=4194304
Step 4: Mount and Inspect Extracted Filesystems
Mount extracted filesystems for deep inspection:
# Mount SquashFS filesystem
mkdir /tmp/squashfs_root
unsquashfs -d /tmp/squashfs_root extracted.squashfs
# Mount CramFS filesystem
mkdir /tmp/cramfs_root
mount -t cramfs -o loop extracted.cramfs /tmp/cramfs_root
# Extract JFFS2 filesystem
jefferson extracted.jffs2 -d /tmp/jffs2_root
# Inspect the extracted filesystem
ls -la /tmp/squashfs_root/
find /tmp/squashfs_root -name "*.conf" -o -name "*.cfg" -o -name "*.key"
find /tmp/squashfs_root -name "passwd" -o -name "shadow"
Step 5: String Analysis and Credential Discovery
Search extracted filesystem and raw firmware for sensitive data:
# Extract all printable strings
strings -a firmware.bin > all_strings.txt
strings -n 12 firmware.bin | sort -u > long_strings.txt
# Search for credentials and secrets
grep -rni "password\|passwd\|secret\|api_key\|token" /tmp/squashfs_root/etc/
grep -rni "BEGIN.*PRIVATE KEY" /tmp/squashfs_root/
# Find hardcoded URLs and endpoints
grep -rnoE "https?://[a-zA-Z0-9./?=_-]+" /tmp/squashfs_root/
# Search for certificate files
find /tmp/squashfs_root -name "*.pem" -o -name "*.crt" -o -name "*.key" -o -name "*.p12"
# Identify busybox and service versions
strings /tmp/squashfs_root/bin/busybox | grep "BusyBox v"
…
FAQ
What is firmware?
Firmware is the software that comes pre-installed on electronic devices like routers, TVs, or cameras. It controls the basic functions of the device.
What is entropy analysis?
It's a way to measure how 'random' or 'unpredictable' the data inside the firmware appears. Highly random data usually means it's encrypted or compressed.
What are file systems like SquashFS?
These are ways to organize and compress files within firmware, common on smaller devices. This tool knows how to open and extract their contents.
Details
Original description by the author
Performs firmware image extraction and analysis using binwalk to identify embedded filesystems, compressed archives, bootloaders, kernel images, and cryptographic material. Covers entropy analysis for detecting encrypted or compressed regions, recursive extraction of nested archives, SquashFS/CramFS/JFFS2 filesystem mounting, and string analysis for credential and configuration discovery. Activate
Popularity
- GitHub stars
- 35k
- Ranking position
- #6068
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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