Individual skill
reverse-eng-firmware
Extract and analyze device firmware to find hardcoded secrets, backdoors, vulnerable services, and the real version behind an appliance. Load when you have a firmware image or can pull one. Signals: a .bin/.img firmware download, a router/IoT/appliance in scope, an OTA update file, a flash dump, "analyze this firmware", SquashFS/JFFS2/CramFS, U-Boot headers, hunting the code behind a CVE on FortiGate/Ivanti/etc.
skills/reverse-engineering/reverse-eng-firmware/SKILL.md
Source commit ee0e0c50d2f6d941a14b73dd85a2b470d0ab976e
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- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
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Repository context
- Repository stars (not skill ratings)
- 27
- Repository last updated
- Oct 14, 2026
- License
- MIT
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- agent-skills Repository topic
- ai-agents Repository topic
- ai-security Repository topic
- application-security Repository topic
- blue-team Repository topic
- bug-bounty Repository topic
- claude-code Repository topic
- codex Repository topic
- detection-engineering Repository topic
- gemini Repository topic
- engineering Derived category
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SKILL.mdcore · 3,784 bytes
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# Firmware analysis
## When it applies
You have a firmware image — a vendor download, an OTA update, or a flash dump — for a router, IoT
device, or network appliance in scope. Offline firmware analysis is the static counterpart to
`network-appliance-attacks`: it explains *why* a device is vulnerable and often yields the exact
version, hardcoded creds, or patched-function diff behind an edge CVE.
## Why it works
Firmware ships the whole system: a packed filesystem, config, keys, and binaries. Vendors routinely
leave hardcoded credentials, private keys, debug/backdoor accounts, and old vulnerable services in
the image — all readable offline, with no traffic to the live device, once you carve the filesystem
out of the container.