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When the original source tree is unavailable, decompiler output can help explain what a binary does, but it is not the original source recovered byte for byte. Treat it as an interpretation of one identified artifact. Preserve that artifact, record exactly how it was analyzed, separate observations from inferences, and attach evidence to every component or source-repository claim.
A defensible record should let another analyst answer five questions: Which binary was examined? Which tools and settings produced the output? What evidence supports each proposed component or source match? How are components related to one another and to candidate source? What remains unknown? SPDX and CycloneDX can provide machine-readable structures for those answers, while NIST guidance explains why a post hoc inventory must not be presented as the build-time dependency list.
What “decompiled code” means for documentation
A compiler transforms source into machine code, bytecode or an intermediate representation. A decompiler then infers higher-level constructs from that compiled artifact. Names may be missing or synthetic, comments and formatting are generally absent, optimizations can merge or remove source constructs, and several different source programs can produce similar instructions. The resulting files are therefore analysis artifacts, not a recovered copy of the author’s source tree.
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Why the distinction matters
- Reproducibility: A different binary, tool version or setting can produce different output.
- Integrity: Readers need to know which bytes support a conclusion and whether the artifact changed before analysis.
- Supply-chain accuracy: A binary inventory can miss build-only dependencies, generated code and components removed by linking or optimization.
- Legal clarity: Permission to inspect or share a result depends on jurisdiction, contract, access controls and purpose.
Build an evidence record before interpreting the output
Start with a case record for the exact file or image. Keep the original in read-only storage and analyze a working copy whose relationship to the original is documented. A cryptographic digest calculated by the analyst gives the record a stable identity even when filenames or storage locations change.
Artifact identity fields
| Field | What to record | Why it matters |
|---|---|---|
| Stable identifier | Cryptographic digest of the analyzed bytes; identify the digest algorithm. | Allows another person to verify that the same artifact was examined. |
| File details | Original filename, format or container type when known, size, architecture and relevant image or module boundaries. | Prevents confusion between similarly named builds or extracted components. |
| Acquisition provenance | Where and how the artifact was obtained, acquisition date, and the person or process that supplied it. | Shows the chain of custody and the scope of permission you had. |
| Copy relationship | Which preserved original corresponds to the working copy, including any extraction, decompression or conversion. | Makes transformations visible instead of silently changing the evidence. |
| Analysis scope | Modules, sections, functions or embedded files included and excluded. | Stops readers from treating a partial examination as a complete inventory. |
Do not overwrite the source artifact with a “cleaned” or renamed version. If unpacking, decrypting, normalizing or converting was necessary, preserve the pre-transformation bytes and record each resulting file and its digest.
Record the analysis conditions
A report should be reproducible enough for another analyst to understand how an interpretation was produced, even though identical output is not guaranteed across tools. Record the decompiler or disassembler name and version, operating system, processor architecture, relevant plug-ins, analysis settings, scripts, date and time, analyst or automated pipeline, and every transformation performed before analysis.
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Separate observations from interpretations
Maintain two layers in notes and exported findings:
- Observed: bytes, strings, symbols, imports, exports, instruction patterns, metadata, file paths embedded in the binary, and output visibly produced by the tool.
- Interpreted: a proposed function name, package identity, source repository, license, algorithm, or relationship between components.
For each interpretation, cite the observation that supports it and state what would disprove it. A decompiler-generated variable name is an interpretation, not an observed source identifier. Likewise, a familiar function signature can suggest a library while still falling short of proof that the exact library version was used.
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Minimum analysis-condition checklist
- Record the tool and exact version, including any language or platform plug-ins.
- Record the host operating system, architecture and relevant runtime dependencies.
- Capture settings that affect control-flow recovery, symbol handling, type propagation, demangling and string decoding.
- List scripts, signatures, plug-ins and databases imported into the analysis.
- Record the analysis start and end dates, analyst identity or automation job identifier.
- Describe unpacking, decryption, patching, rebasing, emulation or other preprocessing.
- Preserve the tool project, logs and exported reports alongside the artifact record.
Identify candidate components without overstating a match
Component identification is an evidence-ranking exercise, not a filename search. Begin with metadata and technical clues, then test whether several independent clues agree. Useful clues can include package identifiers, import and export names, version strings, license notices, distinctive constants, file-level hashes, symbol patterns, embedded paths and structural correspondences between a binary routine and a candidate source implementation.
Use a confidence vocabulary
Define the terms in your project and apply them consistently. One practical scheme is:
| Status | Meaning | Required record |
|---|---|---|
| Confirmed | Independent evidence establishes the identity to the project’s stated threshold. | List the evidence, its origin, date and any contradictory findings. |
| Probable | Several clues agree, but a material uncertainty remains. | Describe the strongest clues and the unresolved alternative explanations. |
| Unresolved | A candidate is plausible but evidence is insufficient to choose it over alternatives. | Record candidates searched, negative results and what evidence is missing. |
Do not convert an unresolved match into a package name merely because a decompiler displayed a recognizable API. Record the candidate identifier, the exact clue, the source of that clue and the confidence status. If a later analyst changes the status, preserve the earlier conclusion and identify who or what supplied the correction and when.
Relating binaries to source repositories
OpenChain’s SBOM quality guidance discusses package identification and relationships between binary components and source code. That relationship can help locate a repository, but an identifier is not a guarantee that the repository contains the exact source used to build the binary. Forks, local patches, generated files, vendored copies and release-specific changes can all produce divergence.
For every candidate repository, record the repository address as supplied by your evidence, the candidate revision or release if known, the matching files or routines, and the differences discovered. If no revision can be established, say so rather than assigning the newest tag.
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Preserve provenance, lineage and relationships
When a report must be exchanged with security, procurement or compliance systems, a structured software bill of materials (SBOM) can carry component and relationship data. NIST describes an SBOM, quoting Executive Order 14028, as a “formal record containing the details and supply chain relationships of various components used in building software.” A decompiler case file can use the same concepts while clearly labeling its inventory as post hoc analysis.
SPDX and CycloneDX: what each contributes
| Documentation need | SPDX 3.0.1 | CycloneDX |
|---|---|---|
| Elements represented | Scope includes packages, files and snippets, plus identities, licenses, copyrights, integrity, provenance and relationships. | Models components and their relationships, with provenance and pedigree concepts for origin and lineage. |
| Binary-to-source relationship | Use relationship data and provenance fields to connect an analyzed element to a candidate package or source element. | Use provenance and pedigree concepts to describe origin, ancestry, modifications and traceability. |
| Evidence and uncertainty | Extend the record with documented evidence, confidence and analyst notes where your implementation permits. | Preserve the evidence and data-change history alongside component and pedigree information. |
| Best fit | Organizations already using SPDX for detailed element and relationship semantics. | Organizations using CycloneDX for component inventories and lineage-oriented BOM data. |
Neither specification prescribes a decompiler-specific case template. Choose the format that integrates with your existing SBOM workflow, then add an evidence register and confidence field rather than assuming the standard alone captures how a conclusion was reached.
Recommended relationship records
- Analyzed binary contains component: identify the binary digest and the component identifier, with the evidence supporting containment.
- Component is derived from or corresponds to candidate source: identify the source location or revision and explain the correspondence.
- Component modified by patch or transformation: record the patch, generated change or binary transformation and its date.
- Finding corrected by analyst or tool: preserve the original assertion, correction, author and timestamp.
- Evidence supports identity: link the finding to hashes, strings, structural matches, metadata or other observations.
Use a case-file structure that another analyst can audit
A practical record can be organized as the following sections. The exact field names may be adapted to your ticketing or SBOM system, but do not omit the distinction between evidence and inference.
- Case metadata: case identifier, purpose, authorization reference, analyst, dates and handling restrictions.
- Artifact register: filename, format, architecture, size, digest, acquisition details and preserved-original location.
- Transformation log: extraction, unpacking, decryption, conversion or patching steps, with an identifier and digest for every output.
- Tool and environment record: decompiler version, operating system, settings, scripts, plug-ins and analysis project.
- Observation ledger: raw or directly observed facts, each tied to a file, offset, function, symbol or report location.
- Component register: candidate identifier, version or revision, evidence, confidence status and unresolved alternatives.
- Lineage and relationships: binary, component, candidate source, patches and generated artifacts connected in SPDX or CycloneDX-compatible form.
- Limitations: missing symbols, excluded modules, unknown build options, inaccessible repositories and other factors that constrain conclusions.
- Review history: corrections, disagreements, approvals and the person or tool responsible for each change.
Example finding format
Finding: A routine in the analyzed module is a probable match for a function in candidate package X.
Observed evidence: The routine has the same distinctive constant sequence and control-flow structure as the candidate function; the binary also contains a related license notice.
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Inference: The routine likely originated from package X, but the exact release and local modifications are unresolved.
Confidence: Probable, under the project’s documented criteria.
Limits: Symbols were stripped, no build manifest was available, and the candidate repository revision could not be verified.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.State what a retrospective inventory cannot prove
NIST warns that an SBOM generated after the fact may not reproduce the dependency list used at build time. A binary may contain only linked portions of a library, omit build-time tools, include generated code, or embed components whose names and versions were removed. Conversely, a package may appear in a binary even when the build process used a patched or private fork.
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Use explicit limitation statements
- “This inventory describes components inferred from the analyzed artifact; it is not the original build manifest.”
- “The candidate source relationship is supported by the evidence listed, but the exact revision and local patches are not established.”
- “Unobserved build-time dependencies, removed code and components outside the analyzed modules are not represented.”
- “Absence of a component finding does not prove that the component was never used.”
Place these limits next to the relevant finding, not only in a final disclaimer. A reader should see the qualification while evaluating each identity or relationship.
Check legal and contractual scope before decompiling or sharing
Legal permission is fact- and jurisdiction-dependent. The U.S. Copyright Act provision in 17 U.S.C. § 1201(f) describes a narrow interoperability-related situation. It states that “a person who has lawfully obtained the right to use a copy of a computer program may circumvent a technological measure that effectively controls access to a particular portion of that program for the sole purpose of identifying and analyzing those elements of the program that are necessary to achieve interoperability of an independently created computer program with other programs.” The surrounding statutory conditions and definitions apply; this sentence is not blanket authorization for every reverse-engineering purpose.
Before analysis, check the license, contract, terms of access, export or security restrictions, and the law that governs the people and systems involved. Separate the permission to inspect from the permission to distribute decompiled output, disclose vulnerabilities, publish component identities or share proprietary material. If the artifact came from a customer, employer or third party, document the authorization and handling limits in the case record.
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Quality-control checklist before publishing the report
- Can a reviewer identify the exact bytes analyzed from the recorded digest?
- Are the preserved original and every transformed derivative accounted for?
- Are tool versions, settings, scripts and analysis dates recorded?
- Does each component or source claim cite concrete evidence?
- Are observed facts visually or structurally separated from interpretations?
- Are confidence labels defined and applied consistently?
- Are binary-to-component and component-to-source relationships represented?
- Are corrections and their provenance retained rather than overwriting earlier findings?
- Does the report say that retrospective analysis may differ from the build-time dependency graph?
- Has legal and contractual scope been checked for both analysis and disclosure?
The result should read as an auditable account of what was examined and what was inferred. That standard is more reliable than presenting decompiler output as if it were a surviving source repository.
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