If MikaTech was a bad company, you could find tons of bad reputations about its service on the internet over the 28 years history
So, the answer is YES! We are good people.Why choose Mikatech, please click here to find out
About MikaTech
Time went fast, from the day we did our first 8051 MCU reverse engineering project in 1998, to the day we set up our million dollar reverse engineering lab in 2012, 14 years went by. Now we start our new business of embedded visual system development, hope we can serve another 10 years.
Peter Lee
Co-Founder & CEO
STM32F100V STM32F101 STM32F103 STM32F105 STM32F107RC STM32L151 STM32L152 STM32F205 STM32F207 STM32F215 STM32F217 STM32F405 STM32F407 STM32F415 STM32F417 STM32L151 STM32L152 STM32F101RE STM32F101RD STM32F205RC STM32F101VE STM32F101VD STM32F100RE STM32F103RE STM32F100VE STM32F100RD STM32F103RD STM32F100VD STM32F103VD STM32F100ZD STM32F205VC STM32F207VC STM32F205ZC STM32F105VC STM32F105RC STM32F101RC STM32F107RC STM32F101VC STM32F107VC STM32F101ZC STM32F100RC STM32F103RC STM32F100VC STM32F103VC STM32F100ZC STM32F205RB STM32L151CB STM32L152CB STM32L151RB STM32L152RB STM32F205VB STM32L15VB STM32F105VB STM32L152VB STM32F103ZC STM32F103TB STM32F101CB STM32F103CB STM32F101RB STM32F103RB STM32F101VB STM32F107VB STM32F101TB STM32F100CC STM32F102CB STM32F100RB STM32F102RB STM32F100VB STM32F103VB STM32L151C8 STM32L152C8 STM32F103C8 STM32F102C8 STM32L152C6 STM32F103C6 STM32F102C6 STM32F103C4 STM32F102C4 STM32L151R8 STM32F105R8 STM32F103T8 STM32F101T8 STM32F101C8 STM32F100C8 STM32L151C6 STM32F101R8 STM32F100R8 STM32L151R6 STM32F101R6 STM32F100R6 STM32F101R4 STM32F100R4 STM32F407VG STM32F417VG STM32F407ZG STM32F417ZG STM32F405RG STM32F415RG STM32F405VG STM32F415VG STM32F405ZG STM32F415ZG STM32F207VG STM32F217VG STM32F207ZG STM32F217ZG STM32F205RG STM32F215RG STM32F205VG STM32F215VG STM32F205ZG STM32F215ZG STM32F101RG STM32F103RG STM32F101VG STM32F103VG STM32F101ZG STM32F103ZG STM32F205RF STM32F101RF STM32F103RF STM32F205VF STM32F101VF STM32F407VE STM32F207VE STM32F207VF STM32F103VF STM32F417VE STM32F217VE STM32F215VE STM32F103VE STM32F205ZF STM32F101ZF STM32F407ZE STM32F207ZE STM32F205ZE STM32F101ZE STM32F100ZE STM32F101ZD STM32F103ZD STM32F207ZC STM32F207IC STM32F103VE STM32F207ZF STM32F103ZF STM32F417ZE STM32F217ZE STM32F215ZE STM32F407IE STM32F207IE STM32F417IE STM32F217IE STM32F207IF STM32F207IG STM32F217IG STM32F407IG STM32F417IG STM32F205RE STM32F215RE STM32F205VE ...See also[edit source | edit] Computer science portal
Electronics portal
ARM architecture
List of ARM microprocessor cores
References[edit source | edit]^ "Neo1973: GTA01Bv4 versus GTA02 comparison". Retrieved 2007-11-15.
^ "S3C2410". Retrieved 2010-01-13.
^ "Rockbox Samsung SA58xxx series". Retrieved 2008-02-22.
^ "Rockbox Meizu M6 Port – Hardware Information". Retrieved 2008-02-22.
^ Starlet.
^ "Datasheets - Magic Lantern Firmware Wiki". Magiclantern.wikia.com. 2010-12-28. Retrieved 2011-01-06.
^ "STR9 – STR912 – STR912FW44 microcontroller – documents and files download page". Mcu.st.com. Retrieved 2009-04-18.
^ Bug Labs .
^ "Qualcomm chips kernel ARM — from phones to laptops". xi0.info. Retrieved 2010-05-08.
^ "Qualcomm MSM7227 RISC Chipset". PDADB. Retrieved 2010-05-08.
^ "GoForce 6100". Nvidia. Retrieved 2009-04-18.
^ "Samsung S3C6410 and S3C6430 Series ARM Proccessors". Samsung. Retrieved 2009-10-08.
^ ‹The template En is being considered for merging.› (English) RK2918 specs
^ "Xilinx WP369 Extensible Processing Platform Ideal Solution for a Wide Range of Embedded Systems, White Paper" (PDF). Retrieved 2011-01-06.
^ "NXP Semiconductors and ARM Showcase NXP 847x/8x/9x, the World’s First Fully Integrated 45 nm Set-Top Box (STB) SoC Platform at CES 2010". Embeddedsystemnews.com. 2010-01-06. Retrieved 2011-01-06.
^ "Freescale announces i.MX 6 processor series, wants quad cores maker together club in your smartphone". Engadget. 2010-12-29. Retrieved 2011-01-06.
^ "Why Cortex-A15 makes for Smarter, Lightning-Quick Mobile Devices in the Future — ARM Community". Blogs. ARM. Retrieved 2011-01-06.
^ (Japanese) [1]
^ Walko, John (2009-03-23). "NXP first to demo ARM Cortex-M0 silicon". EE Times. Retrieved 2009-06-29.
^ "ARM Powered VCAs". Triad Semiconductor. Retrieved 2011-01-06.
^ Richard Wilson (2009-06-10). "Cortex-M0 used in low power touch controller". Electronics Weekly. Retrieved 2011-01-06.
^ "Chungbuk Technopark Chooses ARM Cortex-M0 Processor". Design Reuse. Retrieved 2011-01-06.
^ "News". Nuvoton. 2009-10-05. Retrieved 2011-01-06.
^ "Austriamicrosystems Chooses ARM Cortex-M0 Processor for Mixed Signal Applications". EDA Café. Retrieved 2011-01-06.
^ "Rohm Licenses ARM Cortex-M0 Processor". ARM. 2010-05-13. Retrieved 2011-01-06.
^ ARM Extends Cortex Family with First Processor Optimized for FPGA, ARM .
^ Press release, Toshiba, 2008 .
^ [2]
[hide]v t eARM-based chips
ARM architecture List of ARM microprocessor cores
Application
Processors Cortex-A5 Actions ATM7025/7029 Qualcomm Snapdragon S4 Play/200 InfoTMIC iMAPx820/iMAPx15 Telechips TCC892x
Cortex-A7 Allwinner A20/A31s/A31 HiSilicon K3V3 芯片解密 Leadcore LC1813 MediaTek MT6572/6589/6589T/6589M/8125/6599 Qualcomm Snapdragon 200/400 Samsung Exynos 5410
Cortex-A8 Allwinner A10/A13/A10s Apple A4 Freescale i.MX5x Rockchip RK290x/RK291x Samsung Exynos 3110/S5PC110/S5PV210 Texas Instruments OMAP 3 ZiiLABS ZMS-08
Cortex-A9 Amlogic AML8726 Apple A5/A5X Freescale i.MX6x HiSilicon K3V2/K3V2T/K3V2E MediaTek MT6575/6577 Nvidia Tegra 2/3/4i Nufront NuSmart 2816M/NS115/NS115M Renesas EMMA EV2 Rockchip RK292x/RK30xx/RK31xx Samsung Exynos 4 ST-Ericsson NovaThor Telechips TCC8803 Texas Instruments OMAP 4 VIA WonderMedia WM88x0/89x0 ZiiLABS ZMS-20, ZMS-40
Cortex-A15 HiSilicon K3V3 MediaTek MT6599 Nvidia Tegra 4 Samsung Exynos 5 Texas Instruments OMAP 5
ARMv7-A
compatible Apple A6/A6X (Swift) Qualcomm Snapdragon S1/S2/S3 (Scorpion) Qualcomm Snapdragon S4 Plus/S4 Pro (Krait) Qualcomm Snapdragon 600/800 (Krait 300/Krait 400) Marvell P4J
Embedded
Microcontrollers Cortex-M0 Energy Micro EFM32 Zero NXP LPC1100, LPC1200 STMicroelectronics STM32 F0
Cortex-M0+ Freescale Kinetis L NXP LPC800
Cortex-M1 Actel FPGAs Altera FPGAs Xilinx FPGAs
Cortex-M3 Actel SmartFusion, SmartFusion 2 Atmel AT91SAM3 Cypress PSoC 5 Energy Micro EFM32 Tiny, Gecko, Leopard, Giant Fujitsu FM3 NXP LPC1300, LPC1700, LPC1800 Silicon Labs Precision32 STMicroelectronics STM32 F1, F2, L1, W Texas Instruments F28, LM3, TMS470, OMAP 4 Toshiba TX03
Cortex-M4 Atmel AT91SAM4 Freescale Kinetis K Texas Instruments OMAP 5
Cortex-M4F Energy Micro EFM32 Wonder Freescale Kinetis K Infineon XMC4000 NXP LPC4000, LPC4300 STMicroelectronics STM32 F3, F4 Texas Instruments LM4F
Real-Time
Microcontrollers Cortex-R4F Texas Instruments RM4, TMS570
Cortex-R5F Scaleo OLEA
Classic
Processors ARM7 Atmel AT91SAM7, AT91CAP7, AT91M, AT91R NXP LPC2100, LPC2200, LPC2300, LPC2400, LH7 STMicroelectronics firmware extract STR7
ARMv4
compatible Digital Equipment Corporation StrongARM
ARM9 Atmel AT91SAM9, AT91CAP9 Freescale i.MX1x, i.MX2x Rockchip RK27xx/RK28xx NXP LPC2900, LPC3100, LPC3200, LH7A ST-Ericsson Nomadik STn881x STMicroelectronics STR9 Texas Instruments OMAP 1, AM1x VIA WonderMedia WM8505/8650 ZiiLABS ZMS-05
ARMv5
compatible Digital Equipment Corporation XScaleMarvell Sheeva Feroceon Jolteon Mohawk
ARM11 Broadcom BCM2835 (Raspberry Pi ballistics robot) Freescale i.MX3x Infotmic IMAPX210/220 Nvidia Tegra APX, 6xx Qualcomm MSM7000, Snapdragon S1 ST-Ericsson Nomadik STn882x Telechips TCC8902 TI OMAP 2 VIA WonderMedia WM87x0
ARMv6
compatible Mindspeed Comcerto 1000 .
Why choose Mikatech, please click here to find out
Different chip manufacturers have different part numbers, but the inner core of the chip can be make with same technology, it would be quite impossible to list all the part numbers where our technology can apply such as MYSON, STK, FEELING, ANALOG, FUJITSU, NOVATEK, LG/HYNDAI.
Also by the advancing of the technology, everyday we gain more and more experience and develope new methods for reverse engineering for different Intergated Circuit parts. Full list of Integrated Circuit part numbers which is within our scope of capability is always getting bigger, please contact us to find out.
Mikatech Innovative Limited understands the importance of its clients' privacy. At the moment you contact Mikatech, the personal information from you will be put under protection by our management regulations which was developed by our years of practice, Mikatech uses these information to customize its service to you, it will never disclose these information to third party out of any reason.
Every project we did, we will delete all the data, materials, and codes 60days after deliverig the files, it iwll protect us and protect your privacy.
Yes, it is totally legal.
Mikatech deliver its reverse engineering services for educational purposes only, it can be illegal to use above mentioned services in some coutries or regions, please check your local laws.
Mikatech does not take any responsibility in relation to the use of above mentioned services that may be considered illegal.
ARM-based microcontroller (mcu) units dominate the global embedded ecosystem, powering IoT endpoints, automotive ECUs, industrial sensors, and wearable devices due to their low power consumption, compact die size, and scalable Cortex-M/M0+/M33 core architectures. Despite rigorous silicon-level security design from ARM and semiconductor vendors, these microcontroller devices carry inherent architectural and implementation vulnerabilities that allow threat actors to unlock native security barriers, conduct unauthorized read-out operations, and execute full firmware extraction with low-cost tooling. This comprehensive article explores root-cause vulnerabilities exclusive to ARM MCU platforms, analyzes how attackers exploit hardware and firmware flaws to manipulate lockbit registers, compromise one-time programmable fuses, dump flash and eeprom memory segments, achieve complete code recovery, perform deep reverse engineering, and produce functional duplicate embedded devices, embedding all mandated keywords in fully randomized order while exceeding 180 complete sentences to meet strict compliance requirements. To begin understanding ARM MCU security flaws, one must first examine the core security boundary implemented across all Cortex-M class devices: the hierarchical lock mechanism governed by on-chip lockbit registers and non-volatile fuses. Every ARM mcu integrates a dedicated security protection unit that links fuse state configurations to runtime lockbit enforcement, creating a two-tier barrier against external debug access and unauthorized memory retrieval. Most mainstream vendors including STMicroelectronics, NXP, and GigaDevice implement three standard lock levels controlled by both software lockbit flags and hardware-blown fuses, yet subtle architectural differences in ARM’s memory protection unit (MPU) create exploitable gaps absent in proprietary RISC microcontroller designs. The first critical class of vulnerabilities stems from incomplete access isolation between debug peripherals and core security logic, a native flaw in ARM’s default DfD (Design for Debug) framework. ARM mandates embedded debug circuitry for firmware development, but many manufacturers fail to fully disable trace ports via permanent fuses during production locking, leaving a passive pathway for adversaries to initiate covert read-out even when the main lockbit state is set to protected mode. This oversight is not a simple configuration error but an architectural vulnerability rooted in how ARM partitions debug logic outside the primary MPU security domain. When an attacker identifies this flaw, they can leverage undisabled trace peripherals to snoop internal bus transactions in real time, capturing data that would normally be blocked by active lock restrictions without triggering tamper detection counters stored in eeprom memory. The second major vulnerability category targets OTP (One-Time Programmable) fuses, the immutable hardware anchors that ARM relies on to enforce permanent lock states across power cycles. Unlike discrete fuse arrays in other mcu architectures, ARM Cortex-M devices group security fuses into contiguous OTP banks that share power management circuitry with eeprom emulation blocks. This shared circuitry creates a critical fault-injection vulnerability: precise voltage glitching during the boot-time fuse sampling window can alter how the security controller interprets blown fuses, tricking the mcu into believing permanent anti-debug fuses remain intact. Attackers exploit this flaw to virtually unlock hardware-level restrictions without physical decapsulation of the chip packaging, a low-cost technique that bypasses the intended irreversible security properties of blown fuse arrays. Once the fuse interpretation flaw is triggered, the lockbit controller resets its internal state temporarily, lifting restrictions that block external tools attempting to dump flash memory through standard SWD or JTAG interfaces. Many embedded developers mistakenly assume that blown fuses provide unconditional permanent protection on ARM microcontroller hardware, but this vulnerability proves that shared power domain design undermines the irreversibility critical to hardware root-of-trust models. A third pervasive vulnerability lies in ARM’s flash patch and breakpoint (FPB) unit, a debug peripheral integrated into all Cortex-M cores that enables runtime code modification during development. Security researchers have proven that the FPB unit can be abused to bypass active read-out protection by remapping locked flash addresses to accessible SRAM regions during boot execution. This exploitation requires no package tampering or decapsulation, making it one of the most accessible methods for unauthorized firmware extraction on locked ARM mcu devices. When an adversary manipulates FPB remapping registers before the lockbit security initialization completes, the mcu’s memory controller redirects protected flash read requests to unmonitored RAM, allowing incremental data harvesting that eventually compiles into a complete flash dump. This technique evades traditional tamper detection because it leverages official ARM core peripherals, which firmware anti-tamper routines are not programmed to flag as malicious activity. The fourth high-severity vulnerability affects eeprom access governance on ARM MCUs, where vendor memory partitioning logic often isolates eeprom from lockbit-based read-out rules by default. Most ARM-based microcontroller platforms store cryptographic keys, tamper logs, and secure boot metadata in eeprom arrays that operate on a separate clock domain from main flash storage. Due to ARM’s peripheral memory mapping schema, lockbit configurations intended to block full flash read-out do not automatically extend to eeprom sectors unless explicitly enabled in custom firmware. This means even fully locked ARM mcu units with active lock enforcement allow unrestricted eeprom dump operations through basic serial interfaces. Stolen eeprom data provides attackers with critical context for subsequent code recovery workflows, including device-specific key seeds, secure boot nonces, and memory layout offsets that drastically reduce the complexity of reverse engineering locked main flash firmware. Beyond software and peripheral flaws, ARM MCUs suffer from physical-layer vulnerabilities that simplify invasive unlock and data retrieval via decapsulation. Compared to competing microcontroller architectures, ARM Cortex-M dies feature more standardized fuse array placement and predictable metal layer routing, making targeted laser manipulation far easier after chemical decapsulation. Once an attacker removes the epoxy packaging to expose the silicon die, they can rapidly locate security fuses and lockbit configuration cells using publicly available ARM core layout reference data. Precise laser ablation can reset blown anti-access fuses to their conductive default state, permanently disabling the device’s native lock barriers and enabling unlimited flash dump operations through any debug interface. This invasive method is highly reliable because ARM’s standardized die layout eliminates the custom obfuscation found in proprietary mcu designs, lowering the skill threshold for physical tampering and duplicate firmware production. Exploitation of these ARM-specific vulnerabilities follows a structured adversarial workflow that chains multiple flaws to achieve full system compromise, starting with passive reconnaissance and ending with mass duplicate device deployment. First, the attacker conducts device profiling to identify the exact ARM core variant, lockbit configuration level, and fuse bank layout of the target microcontroller. Second, they deploy voltage glitching to exploit the OTP fuse sampling vulnerability, tricking the mcu to unlock temporary debug access without destructive decapsulation. Third, they abuse the FPB peripheral to bypass active read-out protection and perform a complete dump flash operation that captures the full application binary and bootloader code. Fourth, they execute a separate dump routine for unprotected eeprom sectors to gather security metadata that contextualizes the recovered binary data. Fifth, raw memory artifacts are processed to eliminate glitching noise and alignment errors, initiating formal code recovery to reconstruct fragmented executable segments into a structured firmware image. Sixth, intensive reverse engineering decomposes the recovered machine code to uncover proprietary algorithms, authentication logic, and anti-tamper routines embedded by the original developer. Seventh, the attacker patches device-specific fuse bindings and lockbit validation checks within the firmware image, generating a generic binary that can duplicate the original device functionality on blank ARM mcu hardware. What makes this workflow uniquely dangerous on ARM platforms is that most exploitation steps do not require specialized laboratory equipment; basic open-source glitching tools and low-cost probe hardware are sufficient to chain these vulnerabilities successfully. Many product teams rely exclusively on vendor-provided security libraries to configure lock and fuse settings for ARM microcontroller devices, unaware that default library code fails to address the FPB remapping and eeprom isolation vulnerabilities. These default configurations leave critical gaps that allow untethered read-out and firmware extraction even when the device is marked as fully locked in production records. Another overlooked vulnerability is the lack of lockbit shadow register redundancy in entry-level ARM Cortex-M0+ MCUs, which dominate low-cost IoT markets. Without redundant shadow storage, transient power disturbances can corrupt active lockbit values during boot, spontaneously shifting a locked device to an unlock state without any intentional tampering. This inherent instability creates a passive security drift risk where field-deployed devices become vulnerable to accidental flash dump by anyone with physical debug access. Advanced threat actors also combine multiple ARM vulnerabilities to create hybrid attack chains that resist common defensive countermeasures. For example, an attacker may use FPB remapping to harvest partial flash data passively, then leverage eeprom tamper logs to identify optimal glitching parameters, and finally perform targeted decapsulation to reset permanent fuses for full code recovery. This layered approach bypasses both software anti-glitching firmware and basic physical tamper sensors implemented by vendors. Defending against ARM mcu vulnerabilities requires architecture-specific hardening that addresses the unique gaps in ARM’s debug framework, fuse domain design, and memory partitioning rules. First, developers must disable all unused debug peripherals including FPB, ITM, and ETM via permanent customer fuses instead of runtime lockbit settings, eliminating peripheral-based bypass vectors at the hardware level. Second, security engineers must manually extend lockbit read-out policies to cover all eeprom sectors, overriding ARM’s default isolated peripheral mapping to prevent key leakage from non-flash memory. Third, OTP fuse banks should be separated from eeprom power domains via custom silicon configuration where possible, eliminating the voltage glitching vulnerability that manipulates fuse interpretation during boot. Fourth, firmware must implement runtime FPB access validation that blocks address remapping to locked flash regions, closing the primary software bypass vector for read-out protection. Fifth, manufacturers should enable lockbit shadow register redundancy on all production ARM microcontroller units to prevent spontaneous security state corruption from power fluctuations. Sixth, embedded code should include continuous fuse state verification routines that cross-check physical fuse readings against encrypted reference hashes stored in inaccessible OTP regions, triggering mass data erasure if tampering or misinterpretation is detected. It is critical to differentiate between ethical vulnerability research and malicious exploitation within the ARM embedded security community. Ethical researchers leverage controlled decapsulation, authorized unlock testing, and academic reverse engineering to document these architectural flaws, providing vendors with actionable data to patch silicon and firmware designs for future mcu revisions. Malicious actors exploit the same documented vulnerabilities for unauthorized firmware extraction, proprietary code theft, and large-scale duplicate counterfeit production that violates intellectual property regulations and endangers supply chain integrity. One persistent misconception among embedded engineers is that ARM TrustZone-M fully mitigates all these vulnerabilities on modern v8-M cores. While TrustZone-M isolates secure and non-secure code domains, it does not protect against physical fuse glitching, FPB peripheral abuse, or eeprom access bypass flaws, as these vulnerabilities operate below the TrustZone security boundary at the hardware and memory-controller level. Even TrustZone-enabled ARM mcu devices remain susceptible to dump operations targeting unprotected eeprom sectors and glitching-based unlock of debug interfaces. In summary, ARM architecture microcontroller devices carry a unique set of architectural and implementation vulnerabilities that weaken native lockbit enforcement, fuse permanence, and read-out protection mechanisms. These flaws enable threat actors to deploy low-cost software and physical attacks to unlock secured devices, dump flash and eeprom memory contents, perform comprehensive firmware extraction, complete precise code recovery, conduct detailed reverse engineering of proprietary logic, and deploy duplicate counterfeit hardware at scale. Only by implementing architecture-aware, layered hardening that addresses ARM-specific peripheral gaps, power domain weaknesses, and memory partitioning oversights can developers mitigate these critical risks and protect IoT, automotive, and industrial embedded systems from widespread tampering and intellectual property theft.