Orange State Bootloop Tecno_Camon_19_Neo

[Please help] Orange State Bootloop Tecno_Camon_19_Neo_CH6i

OnlyKlaus
Junior Member

18

03-03-2023, 10:14 AM

#21

(02-03-2023, 05:49 PM)kelvinchinedu Change the partition name from .img to .bin and it will loacate it

Hi, thankyou so much for still being with me bro, I renamed the extension from .img to .bin of boot file
I used mtk client method to run it and it said Sad

attachment)

Attached Files

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Size: 71.57 KB / Downloads: 7

OnlyKlaus
Junior Member

18

03-03-2023, 11:16 AM

#22

(02-03-2023, 05:49 PM)1kelvinchinedu Change the partition name from .img to .bin and it will loacate it

hi, here's the document with the full PowerShell error I got after typing:
"python mtk w boot boot.bin"
please check the attachment or right here:

.....Port - Device detected Smile

Preloader - CPU: MT6768/MT6769(Helio P65/G85 k68v1)
Preloader - HW version: 0x0
Preloader - WDT: 0x10007000
Preloader - Uart: 0x11002000
Preloader - Brom payload addr: 0x100a00
Preloader - DA payload addr: 0x201000
Preloader - CQ_DMA addr: 0x10212000
Preloader - Var1: 0x25
Preloader - Disabling Watchdog...
Preloader - HW code: 0x707
Preloader - Target config: 0xe5
Preloader - SBC enabled: True
Preloader - SLA enabled: False
Preloader - DAA enabled: True
Preloader - SWJTAG enabled: True
Preloader - EPP_PARAM at 0x600 after EMMC_BOOT/SDMMC_BOOT: False
Preloader - Root cert required: False
Preloader - Mem read auth: True
Preloader - Mem write auth: True
Preloader - Cmd 0xC8 blocked: True
Preloader - Get Target info
Preloader - BROM mode detected.
Preloader - HW subcode: 0x8a00
Preloader - HW Ver: 0xca00
Preloader - SW Ver: 0x0
Preloader - ME_ID: C81888DB8C480157A621412F02728913
Preloader - SOC_ID: 395BC2E494A340C35905943B0802000302173B0D97214BA5D77A95D2B220B541
PLTools - Loading payload from mt6768_payload.bin, 0x264 bytes
PLTools - Kamakiri / DA Run
Kamakiri - Trying kamakiri2..
Kamakiri - Done sending payload...
PLTools - Successfully sent payload: C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\payloads\mt6768_payload.bin
Port - Device detected Smile

DA_handler - Device is protected.
DA_handler - Device is in BROM mode. Trying to dump preloader.
Successfully extracted preloader for this device to: preloader_ch6i_h6921.bin
DAXFlash - Uploading xflash stage 1 from MTK_AllInOne_DA_5.2136.bin
xflashext - Patching da1 ...
Mtk - Patched "Patched loader msg" in preloader
xflashext
xflashext - [LIB]: ←[33mError on patching da1 version check...←[0m
Mtk - Patched "Patched loader msg" in preloader
Mtk - Patched "get_vfy_policy" in preloader
xflashext - Patching da2 ...
DAXFlash - Successfully uploaded stage 1, jumping ..
Preloader - Jumping to 0x200000
Preloader - Jumping to 0x200000: ok.
DAXFlash - Successfully received DA sync
DAXFlash - DRAM config needed for : 1501003356364342
DAXFlash - Sending emi data ...
DAXFlash - DRAM setup passed.
DAXFlash - Sending emi data succeeded.
DAXFlash - Uploading stage 2...
DAXFlash - Upload data was accepted. Jumping to stage 2...
DAXFlash - Successfully uploaded stage 2
DAXFlash - EMMC FWVer: 0x0
DAXFlash - EMMC ID: 3V6CBB
DAXFlash - EMMC CID: 1501003356364342420268f5dc032909
DAXFlash - EMMC Boot1 Size: 0x400000
DAXFlash - EMMC Boot2 Size: 0x400000
DAXFlash - EMMC GP2 Size: 0x0
DAXFlash - EMMC GP3 Size: 0x0
DAXFlash - EMMC GP4 Size: 0x0
DAXFlash - EMMC RPMB Size: 0x1000000
DAXFlash - EMMC USER Size: 0x1d1ec00000
DAXFlash - HW-CODE : 0x707
DAXFlash - HWSUB-CODE : 0x8A00
DAXFlash - HW-VERSION : 0xCA00
DAXFlash - SW-VERSION : 0x0
DAXFlash - CHIP-EVOLUTION : 0x1
DAXFlash - DA-VERSION : 1.0
DAXFlash - Upload data was accepted. Jumping to stage 2...
DAXFlash - DA Extensions successfully added
Traceback (most recent call last):
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtk", line 814, in <module>
mtk = Main(args).run(parser)
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_main.py", line 617, in run
da_handler.handle_da_cmds(mtk, cmd, self.args)
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_da_cmd.py", line 647, in handle_da_cmds
self.da_write(parttype=parttype, filenames=filenames, partitions=partitions)
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_da_cmd.py", line 310, in da_write
res = self.mtk.daloader.detect_partition(partition, parttype)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_daloader.py", line 169, in detect_partition
data, guid_gpt = self.da.partition.get_gpt(self.mtk.config.gpt_settings, parttype)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\partition.py", line 60, in get_gpt
data = self.readflash(addr=0, length=sectors * self.config.pagesize, filename="",
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_daxflash.py", line 874, in readflash
if self.cmd_read_data(addr=addr, size=length, storage=storage, parttype=parttype):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_daxflash.py", line 854, in cmd_read_data
param = pack("<IIQQ", storage, parttype, addr, size)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
struct.error: argument out of range
PS C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main> python mtk w boot boot.img
MTK Flash/Exploit Client V1.6.1 © B.Kerler 2018-2023

Traceback (most recent call last):
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtk", line 814, in <module>
mtk = Main(args).run(parser)
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_main.py", line 615, in run
mtk = da_handler.configure_da(mtk, preloader)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_da_cmd.py", line 81, in configure_da
info = mtk.daloader.reinit()
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_daloader.py", line 112, in reinit
self.da.reinit()
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_daxflash.py", line 1122, in reinit
self.config.sram, self.config.dram = self.get_ram_info()
^^^^^^^^^^^^^^^^^^^
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_daxflash.py", line 550, in get_ram_info
resp = self.send_devctrl(self.Cmd.GET_RAM_INFO)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_daxflash.py", line 279, in send_devctrl
status[0] = self.status()
^^^^^^^^^^^^^
File "C:\Users\Satellite\Downloads\Root\MTK Method\mtkclient-main\mtkclient\Library\mtk_daxflash.py", line 230, in status
magic, datatype, length = unpack("<III", hdr)
^^^^^^^^^^^^^^^^^^^
struct.error: unpack requires a buffer of 12 bytes

Attached Files

New Text Document.txt
Size: 7.16 KB / Downloads: 3

kelvinchinedu
Contributor

1,649

03-03-2023, 06:27 PM

#23

i said u should flash with mtkclient gui software not powershell

OnlyKlaus
Junior Member

18

03-03-2023, 07:18 PM

#24

(03-03-2023, 06:27 PM)kelvinchinedu i said u should flash with mtkclient gui software not powershell

Hi, I am really sorry for not following up on that, now I have more issues. Sad

issue one:
I watched this mtk client GUI flash video: https://www.youtube.com/watch?v=FgjVJBtUiLI
--he selects a partition to flash from the partitions tab but I can't do that because I don't see any partitions.
maybe this video is wrong and I don't now how to flash using mt client gui.
Issue two:
please view the attachment:

Attached Files

Clipboard12.png
Size: 37.63 KB / Downloads: 5

maxpayne
Intern

4,450

09-03-2023, 02:43 PM

#25

(03-03-2023, 07:18 PM)OnlyKlaus Hi, I am really sorry for not following up on that, now I have more issues.
issue one:
I watched this mtk client GUI flash video: https://www.youtube.com/watch?v=FgjVJBtUiLI
--he selects a partition to flash from the partitions tab but I can't do that because I don't see any partitions.
maybe this video is wrong and I don't now how to flash using mt client gui.
Issue two:
please view the attachment:

In mtk client, run this command then flash the firmware in SP flash tool

Code:

python mtk payload

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OnlyKlaus
Junior Member

18

10-03-2023, 08:47 AM

#26

(09-03-2023, 02:43 PM)maxpayne
(03-03-2023, 07:18 PM)OnlyKlaus Hi, I am really sorry for not following up on that, now I have more issues.
issue one:
I watched this mtk client GUI flash video: https://www.youtube.com/watch?v=FgjVJBtUiLI
--he selects a partition to flash from the partitions tab but I can't do that because I don't see any partitions.
maybe this video is wrong and I don't now how to flash using mt client gui.
Issue two:
please view the attachment:

In mtk client, run this command then flash the firmware in SP flash tool

Code:

python mtk payload

hi I got this error when I ran this command in mtk client
[img]data:image/png;base64,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[/img]

maxpayne
Intern

4,450

16-03-2023, 07:48 AM

#27

(10-03-2023, 08:47 AM)OnlyKlaus hi I got this error when I ran this command in mtk client

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