Tool categories
Tools tend to fall into a handful of groups. Many products span more than one.
| Category | What it does | Watch for |
|---|---|---|
| Acquisition tools | Copy data from an aircraft, controller or mobile device in a controlled way. | Supported platforms; whether the method alters the source. |
| Log and format decoders | Parse proprietary flight logs and files into readable records. | Firmware coverage; behavior when a format is unknown or changed. |
| Media and metadata analysis | Examine images and video and their embedded metadata. | Handling of edited or re-encoded files. |
| Mapping and timeline tools | Place events on a map and align sources onto one timeline. | Time-zone and clock handling; how uncertainty is shown. |
| Analysis and exploitation platforms | Combine several steps and assist interpretation, sometimes with automation. | Whether the analyst can trace each output to source data. |
| Reporting tools | Produce a structured record of method, findings and limits. | Whether tool and version details are recorded automatically. |
Selection criteria
Start from your requirement, then test candidates against questions such as these.
- Coverage. Does it support the platforms and firmware versions you actually meet?
- Method impact. Does it change the source data, and is that documented?
- Traceability. Can each result be traced back to the underlying data?
- Handling of the unknown. What does it do with data it does not understand: skip, guess or flag?
- Environment. Can it run where you work, for example offline, on a laptop or in a secured network?
- Output and interoperability. Does it export in formats your other tools and your reports use?
- Support and currency. How quickly does it follow firmware and format changes?
- Training and skills. What competence does it assume of the user?
Validation
A tool’s claims are hypotheses until you test them on your own material. Sound practice includes:
- Test on known data. Use a drone and controller where you know the ground truth and compare the tool’s output with it. If you do not have your own, use the public data set below.
- Record versions. Note the tool, its version and the platform firmware in every result.
- Cross-check. Confirm important findings with a second method or source where possible.
- Re-validate after updates. A new tool or firmware version can change results.
- Document the failures. Keep a record of what a tool could not read or got wrong.
A public reference data set
The CFReDS Drone Dataset, from NIST’s Computer Forensic Reference Data Sets (CFReDS) project, is a good place to start when you have no drone of your own to test on. It holds forensic images from 79 drones across about 30 models, including DJI, Parrot, Skydio and ArduPilot-based builds. For each drone it covers the aircraft, its controller and the connected mobile devices, and the datasheets record flight dates, GPS coordinates and file hash values, so you can compare a tool’s output with known results.
The downloads are hosted in shared Google Drive folders, and the page states no license terms, so check before reusing or redistributing the images.
Limitations
- Vendors’ coverage lists describe what was tested, not everything that will work.
- Proprietary formats can change without notice, and support lags behind.
- Automated interpretation can be wrong. Treat its output as a lead until you have checked it.
- Tools do not supply legal authority, sound procedure or analyst judgment.
Related resources
How drone forensics works
The five stages of an examination, and where the limits are.
Read →Drone exploitation
What the analysis stage is for and what it produces.
Read →Open source tools
Dated, curated list of community projects to get started with.
Read →Evaluation checklist Planned
A downloadable version of the criteria above.