From eed7698ed3bf5570913b3cedb85d812d809761e1 Mon Sep 17 00:00:00 2001 From: Mark Qvist Date: Sat, 14 Jan 2023 13:20:19 +0100 Subject: [PATCH] Added firmware extraction from existing devices to rnodeconf --- RNS/Utilities/rnodeconf.py | 163 ++++++++++++++++++++++++++++++++++++- 1 file changed, 160 insertions(+), 3 deletions(-) diff --git a/RNS/Utilities/rnodeconf.py b/RNS/Utilities/rnodeconf.py index 7dc545e..bdf6503 100644 --- a/RNS/Utilities/rnodeconf.py +++ b/RNS/Utilities/rnodeconf.py @@ -90,6 +90,7 @@ class KISS(): CMD_RESET = 0x55 CMD_DEV_HASH = 0x56 CMD_DEV_SIG = 0x57 + CMD_HASHES = 0x60 CMD_FW_HASH = 0x58 CMD_FW_UPD = 0x61 @@ -216,11 +217,14 @@ models = { CNF_DIR = None UPD_DIR = None FWD_DIR = None +EXT_DIR = None try: CNF_DIR = os.path.expanduser("~/.config/rnodeconf") UPD_DIR = CNF_DIR+"/update" FWD_DIR = CNF_DIR+"/firmware" + EXT_DIR = CNF_DIR+"/extracted" + RT_PATH = CNF_DIR+"/recovery_esptool.py" if not os.path.isdir(CNF_DIR): os.makedirs(CNF_DIR) @@ -228,6 +232,8 @@ try: os.makedirs(UPD_DIR) if not os.path.isdir(FWD_DIR): os.makedirs(FWD_DIR) + if not os.path.isdir(EXT_DIR): + os.makedirs(EXT_DIR) except Exception as e: print("No access to directory "+str(CNF_DIR)+". This utility needs file system access to store firmware and data files. Cannot continue.") @@ -273,6 +279,7 @@ class RNode(): self.serialno = None self.checksum = None self.device_hash = None + self.firmware_hash = None self.signature = None self.signature_valid = False self.locally_signed = False @@ -393,6 +400,21 @@ class RNode(): if (len(command_buffer) == 32): self.device_hash = command_buffer + elif (command == KISS.CMD_HASHES): + if (byte == KISS.FESC): + escape = True + else: + if (escape): + if (byte == KISS.TFEND): + byte = KISS.FEND + if (byte == KISS.TFESC): + byte = KISS.FESC + escape = False + command_buffer = command_buffer+bytes([byte]) + if (len(command_buffer) == 33): + if command_buffer[0] == 0x02: + self.firmware_hash = command_buffer[1:] + elif (command == KISS.CMD_FW_VERSION): if (byte == KISS.FESC): escape = True @@ -507,7 +529,7 @@ class RNode(): self.version = str(self.major_version)+"."+minstr def detect(self): - kiss_command = bytes([KISS.FEND, KISS.CMD_DETECT, KISS.DETECT_REQ, KISS.FEND, KISS.CMD_FW_VERSION, 0x00, KISS.FEND, KISS.CMD_PLATFORM, 0x00, KISS.FEND, KISS.CMD_MCU, 0x00, KISS.FEND, KISS.CMD_BOARD, 0x00, KISS.FEND, KISS.CMD_DEV_HASH, 0x01, KISS.FEND]) + kiss_command = bytes([KISS.FEND, KISS.CMD_DETECT, KISS.DETECT_REQ, KISS.FEND, KISS.CMD_FW_VERSION, 0x00, KISS.FEND, KISS.CMD_PLATFORM, 0x00, KISS.FEND, KISS.CMD_MCU, 0x00, KISS.FEND, KISS.CMD_BOARD, 0x00, KISS.FEND, KISS.CMD_DEV_HASH, 0x01, KISS.FEND, KISS.CMD_HASHES, 0x02, KISS.FEND]) written = self.serial.write(kiss_command) if written != len(kiss_command): raise IOError("An IO error occurred while detecting hardware for "+self(str)) @@ -979,6 +1001,8 @@ def main(): parser.add_argument("-U", "--force-update", action="store_true", help="Update to specified firmware even if version matches or is older than installed version") parser.add_argument("--fw-version", action="store", metavar="version", default=None, help="Use a specific firmware version for update or autoinstall") parser.add_argument("--nocheck", action="store_true", help="Don't check for firmware updates online") + parser.add_argument("-e", "--extract", action="store_true", help="Extract firmware from connected RNode for later use") + parser.add_argument("-E", "--use-extracted", action="store_true", help="Use the extracted firmware for autoinstallation or update") parser.add_argument("-C", "--clear-cache", action="store_true", help="Clear locally cached firmware files") parser.add_argument("-N", "--normal", action="store_true", help="Switch device to normal mode") @@ -1052,8 +1076,127 @@ def main(): from cryptography.hazmat.primitives.asymmetric import rsa from cryptography.hazmat.primitives.asymmetric import padding + clear = lambda: os.system('clear') + + if args.extract: + # clear() + print("") + print("RNode Firmware Extraction") + print("") + if not args.port: + ports = list_ports.comports() + portlist = [] + for port in ports: + portlist.insert(0, port) + + pi = 1 + print("Detected serial ports:") + for port in portlist: + print(" ["+str(pi)+"] "+str(port.device)+" ("+str(port.product)+", "+str(port.serial_number)+")") + pi += 1 + + print("\nEnter the number of the serial port your device is connected to:\n? ", end="") + try: + c_port = int(input()) + if c_port < 1 or c_port > len(ports): + raise ValueError() + + selected_port = portlist[c_port-1] + except Exception as e: + print("That port does not exist, exiting now.") + exit() + + if selected_port == None: + print("Could not select port, exiting now.") + exit() + + port_path = selected_port.device + port_product = selected_port.product + port_serialno = selected_port.serial_number + + clear() + print("\nOk, using device on "+str(port_path)+" ("+str(port_product)+", "+str(port_serialno)+")") + + else: + ports = list_ports.comports() + + for port in ports: + if port.device == args.port: + selected_port = port + + if selected_port == None: + print("Could not find specified port "+str(args.port)+", exiting now") + exit() + + port_path = selected_port.device + port_product = selected_port.product + port_serialno = selected_port.serial_number + + print("\nUsing device on "+str(port_path)) + + print("\nProbing device...") + + try: + rnode_serial = rnode_open_serial(port_path) + except Exception as e: + RNS.log("Could not open the specified serial port. The contained exception was:") + RNS.log(str(e)) + exit() + + rnode = RNode(rnode_serial) + thread = threading.Thread(target=rnode.readLoop, daemon=True).start() + try: + rnode.device_probe() + except Exception as e: + RNS.log("No answer from device") + + if rnode.detected: + RNS.log("Trying to read EEPROM...") + rnode.download_eeprom() + else: + RNS.log("Could not detect a connected RNode") + + if rnode.provisioned and rnode.signature_valid: + if rnode.firmware_hash != None: + extracted_hash = rnode.firmware_hash + extracted_version = rnode.version + rnode.disconnect() + v_str = str(extracted_version)+" "+RNS.hexrep(extracted_hash, delimit=False) + print("\nFound RNode Firmvare v"+v_str) + + print("\nReady to extract firmware images from the RNode") + print("Press enter to start the extraction process") + input() + extract_recovery_esptool() + + hash_f = open(EXT_DIR+"/extracted_rnode_firmware.version", "wb") + hash_f.write(v_str.encode("utf-8")) + hash_f.close() + + extraction_parts = [ + ("bootloader", "python \""+CNF_DIR+"/recovery_esptool.py\" --chip esp32 --port /dev/ttyACM1 --baud 921600 --before default_reset --after hard_reset read_flash 0x1000 0x4650 \""+EXT_DIR+"/extracted_rnode_firmware.bootloader\""), + ("partition table", "python \""+CNF_DIR+"/recovery_esptool.py\" --chip esp32 --port /dev/ttyACM1 --baud 921600 --before default_reset --after hard_reset read_flash 0x8000 0xC00 \""+EXT_DIR+"/extracted_rnode_firmware.partitions\""), + ("app boot", "python \""+CNF_DIR+"/recovery_esptool.py\" --chip esp32 --port /dev/ttyACM1 --baud 921600 --before default_reset --after hard_reset read_flash 0xe000 0x2000 \""+EXT_DIR+"/extracted_rnode_firmware.boot_app0\""), + ("application image", "python \""+CNF_DIR+"/recovery_esptool.py\" --chip esp32 --port /dev/ttyACM1 --baud 921600 --before default_reset --after hard_reset read_flash 0x10000 0x200000 \""+EXT_DIR+"/extracted_rnode_firmware.bin\""), + ("console image", "python \""+CNF_DIR+"/recovery_esptool.py\" --chip esp32 --port /dev/ttyACM1 --baud 921600 --before default_reset --after hard_reset read_flash 0x210000 0x1F0000 \""+EXT_DIR+"/extracted_console_image.bin\""), + ] + import subprocess, shlex + for part, command in extraction_parts: + print("Extracting "+part+"...") + if subprocess.call(shlex.split(command), stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) != 0: + print("The extraction failed, the following command did not complete successfully:\n"+command) + exit(182) + + print("\nFirmware successfully extracted!") + print("\nYou can now use this firmware to update or autoinstall other RNodes") + exit() + else: + print("Could not read firmware information from device") + + print("\nRNode firmware extraction failed") + exit(180) + if args.autoinstall: - clear = lambda: os.system('clear') clear() if not args.port: print("\nHello!\n\nThis guide will help you install the RNode firmware on supported") @@ -2613,5 +2756,19 @@ def main(): print("") exit() +def extract_recovery_esptool(): + if not os.path.isfile(RT_PATH): + try: + RNS.log("Extracting recovery ESP-Tool...") + import base64, gzip + recovery_esptool = "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" + out = open(RT_PATH, "wb") + out.write(gzip.decompress(base64.b64decode(recovery_esptool))) + out.close() + except Exception as e: + RNS.log("Error: Could not extract recovery ESP-Tool. The contained exception was:") + RNS.log(str(e)) + exit(181) + if __name__ == "__main__": - main() + main() \ No newline at end of file