Results for “firmware”
16 skillsfirmware-pentest
End-to-end firmware and IoT penetration testing pipeline following OWASP FSTM methodology. Extracts, emulates, and exploits router, camera, and smart-home firmware using binwalk, EMBA, Firmadyne, and AFL++.
12.8k · bundle
performing-firmware-malware-analysis
Analyzes firmware images for embedded malware, backdoors, and unauthorized modifications targeting routers, IoT devices, UEFI/BIOS, and embedded systems. Covers firmware extraction, filesystem analysis, binary reverse engineering, and bootkit detection.
24.6k · bundle
auditing-uefi-firmware-with-chipsec
Assess platform firmware security using Intel CHIPSEC: verify SPI flash write protection, BIOS lock, SMM/SMRR, Secure Boot variables, dump SPI flash, and triage UEFI variables for firmware-level threats.
24.6k · bundle
performing-plc-firmware-security-analysis
Analyze PLC firmware for security vulnerabilities including hardcoded credentials, insecure updates, backdoors, memory corruption, and undocumented debug interfaces using static and dynamic analysis techniques.
24.6k · bundle
performing-firmware-extraction-with-binwalk
Extracts and analyzes firmware images using binwalk to identify embedded filesystems, compressed archives, bootloaders, kernel images, and cryptographic material. Covers entropy analysis, recursive extraction, filesystem mounting, and string analysis for credential and configuration discovery.
24.6k · bundle
competition-reverse-pwn
Specialized CTF workflow for reverse engineering, malware analysis, DFIR, firmware, pwnable, and native exploit challenges under sandbox assumptions.
12.8k · bundle
More results
performing-iot-security-assessment
Performs comprehensive security assessments of IoT devices and their ecosystems by testing hardware interfaces, firmware, network communications, cloud APIs, and companion mobile applications.
24.6k · bundle
hardware-security
Guides authorized hardware and embedded interface security research including UART/JTAG discovery, debug pad triage, secure boot assessment, and offline firmware extraction support.
12.8k · bundle
analyzing-uefi-bootkit-persistence
Analyzes UEFI bootkit persistence mechanisms including firmware implants, ESP modifications, Secure Boot bypass techniques, and UEFI variable manipulation. Covers detection of known bootkit families, forensic inspection, and integrity verification.
24.6k · bundle
analyzing-bootkit-and-rootkit-samples
Analyzes bootkit and rootkit malware that infects MBR, VBR, or UEFI firmware for pre-OS persistence, covering boot sector analysis, UEFI module inspection, and anti-rootkit detection.
24.6k · bundle
reverse-skill-router
Routes reverse engineering, exploitation, penetration testing, malware, mobile, firmware, browser automation, documentation, and security tasks to the appropriate specialist skill. Use when a task spans modules or the correct reverse-skill entrypoint is unclear.
12.8k · bundle
validating-tpm-measured-boot-attestation
Verify TPM measured boot integrity and remote attestation using tpm2-tools, including PCR reading, event log replay, quote generation and verification, and golden baseline comparison.
24.6k · bundle
ida-reverse
Provides a complete workflow for IDA Pro reverse engineering of binaries (PE, ELF, APK, DLL, SO, firmware) using bundled PowerShell scripts to manage the MCP server and open files, then leverages 72 MCP tools for survey, decompilation, cross-references, data-flow tracing, patching, and reporting.
12.8k · bundle
ot-ics
Authorized OT/ICS security assessment covering Purdue model zoning, PLC/SCADA exposure, industrial protocol discovery, and safe passive-first evaluation.
12.8k · bundle
reverse-engineering
Provides structured reverse engineering techniques for analyzing compiled, obfuscated, packed, or virtualized targets including binaries, APKs, WASM, firmware, and custom VMs using static and dynamic analysis workflows.
12.8k · bundle
detecting-dnp3-protocol-anomalies
Detect anomalies in DNP3 protocol communications used in SCADA systems by monitoring for unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic patterns using deep packet inspection and machine learning approaches.
24.6k · bundle