Choose manual work when the investigation is the experiment.
Learning a protection scheme, changing hypotheses quickly, or keeping the file entirely in your own environment can make direct analysis the right choice.
Your research question is the valuable part. Decide how much of your time should go into reconstructing protected logic before you can investigate it.
| The question | Manual reverse engineering | Devirt |
|---|---|---|
| Getting started | Set up your analysis environment and choose the recovery approach. | Submit an authorized binary, select an output, and agree the scope. |
| Doing the recovery | You operate the tools, reconstruct behavior, and resolve the difficult paths. | The service handles eligible known-family recovery. Unfamiliar builds begin with an assessment. |
| Checking the result | You design the checks and retain the evidence behind your conclusions. | The output includes a coverage ledger and proof summary, with assumptions and unresolved checks. |
| Returning to your tools | You create your own database, code, annotations, or report. | Select an IDA database, annotated C, a full report, LLVM IR, or structured JSON. |
| When the file changes | You repeat or adapt your analysis and compare the versions. | Professional plans include comparisons of versions you submit, while the previous result remains available. |
Devirt describes the agreed service deliverable, not a guarantee for every build. Eligibility, complexity, and proof scope are assessed separately.
Step through submission, status, and delivery. This local teaching example shows the API handoff, not a live analysis or a replacement for your judgment.
/api/v1/submitBearer ••••Local simulation, not a live API request. No file is uploaded and no credit is used.
Learning a protection scheme, changing hypotheses quickly, or keeping the file entirely in your own environment can make direct analysis the right choice.
A defined deliverable, repeated intake, and evidence packaged with the result let your team focus on interpretation, triage, and the finding itself.
Create an account for assessmentNo. The IDA database and LLVM IR options are designed to return the work to your tools. Your interpretation and any further investigation remain yours.
Yes. Manual work can include scripts and sophisticated automation. The distinction is who builds, runs, maintains, and validates that workflow.
Manual work can include automation: Ghidra’s official project describes disassembly, decompilation and scripting. A capable tool and a completed analysis are different purchases.
Compare the work, the handoff, and the evidence—not just a number on a pricing page.
Start with the output you need. If the architecture or scope is unfamiliar, begin with a free assessment.
Create an account, verify your email and upload your file. We review custom work and email your scope and quote.
Keep this job ID.
The accepted scope and funding determine when processing starts. Every later request refers to the same job.