VAG ECU ID by Vitdia — Firmware Identification and Vehicle Data Tool 1.2

VAG ECU ID by Vitdia is a group of offline firmware-identification utilities that extract human-readable controller and vehicle information from supported binary files. The main interface can display ECU family, software number, engine displacement, engine code, manufacturer, model and feature flags recovered from a recognized calibration.

Five related applications are included, covering different parser generations and selected non-VAG layouts. They analyze files only; they do not connect to a vehicle or change a controller unless a separate modification workflow is deliberately used.

What this resource is for​#

Use the suite to label unknown reads, confirm that a file belongs to the expected ECU and collect identifiers before opening a tuning or repair project. Identification is especially useful when filenames have been lost or several reads from similar vehicles are stored together.

Confirmed functions​#

• Extract ECU family, software identifiers and engine information from recognized firmware
• Show manufacturer and model candidates associated with detected data
• Display modification flags such as DPF, EGR, AdBlue, start-stop, speed limiter and immobilizer markers when the parser finds them
• Save or document parsed identity information
• Separate parsers for general ECU ID, VAG MEDC17, Opel ECU ID and earlier VAG formats

Supported controllers, files and vehicles​#

• Bosch MEDC16 and MEDC17 families where supported by the parsers
• Siemens PCR2.1
• Visteon DCU10x
• Selected SID206, SID310, SID803 and SID804 layouts
• A Toyota/Lexus parser and an Opel-specific identifier are also supplied
• The visible manufacturer list includes many brands, but actual results depend on firmware signatures

Package contents​#

• Current ECU ID application
• Earlier general ECU ID branch
• VAG ECU ID and VAG MEDC17-specific utilities
• Opel ECU ID utility
• Five portable executables, all statically audited and never launched

System and interface requirements​#

• Windows PC or isolated virtual machine
• A complete binary read from the ECU memory region expected by the parser
• Known-good source hash and a clear record of the read method
• No diagnostic interface is needed for offline identification

Recommended workshop workflow​#

• Copy the original read into a read-only identification workspace
• Open it with the parser that best matches the suspected controller family
• Compare reported software and engine identifiers with the ECU label or diagnostic scan
• Save the identification result and use it to choose the correct editor, checksum and programming method
• Keep unknown or contradictory reads quarantined until independently identified

Compatibility limits and responsible use​#

• Model lists shown by the application are candidates, not guaranteed compatibility statements
• An identification hit does not prove that a tuning definition or checksum plugin matches
• Feature flags are parser observations and should be confirmed by inspecting the binary
• Do not rename or overwrite the original read until identification is independently verified

Troubleshooting​#

• If fields remain blank, try the parser dedicated to the suspected controller family
• If the software number conflicts with the ECU label, verify that the file is complete and not a calibration-only segment
• If several model candidates appear, rely on engine code, hardware number and diagnostic data to narrow the identity

File integrity and safety notes​#

The source archive was fully tested and extracted, nested containers were opened where present, and executable files were inspected statically without being launched. Keep the original ECU or module read immutable, work only on copies, verify output size and checksum requirements, and use stable power plus a proven recovery method before any write operation. No claim is made that an unsigned executable is malware-free; use a dedicated analysis environment and scan with your own current security tools.