mvt/docs/development/index.md

Development

The Mobile Verification Toolkit team welcomes contributions of new forensic modules or other contributions which help improve the software.

Local environment

MVT uses uv for dependency management. To install the project and development dependencies from the locked environment, run:

make install

Testing

MVT uses pytest for unit and integration tests. Code style consistency is maintained with ruff and mypy. All can be run automatically with:

make check

Run these tests before making new commits or opening pull requests.

Module dependencies

Modules can require other modules to run first by declaring their classes in dependencies. The command runner uses a stable topological ordering, so the existing module list order is preserved wherever dependency constraints allow.

class DependentModule(MVTModule):
    dependencies = (PrerequisiteModule,)

    def run(self):
        prerequisite_results = self.get_dependency_results(PrerequisiteModule)

Selecting a single module also runs its transitive dependencies.

A module can only depend on modules the command it runs in also has. When a declared dependency is not among them, the command logs a warning naming the module and the missing dependency, skips that module and everything depending on it, and runs the rest of the analysis. Selecting such a module with --module therefore leaves nothing to run, which the warning explains.

A cycle in the dependency graph is a programming error rather than a configuration problem: the command logs a warning and runs no modules at all.

Custom modules

MVT's module-running check-* commands can run forensic modules which are not part of MVT. Custom modules are distributed as plugin packages. A Python package installed next to MVT registers its modules through an entry point. The modules then load automatically in every command they support, see Installed module packages. mvt plugins list shows the installed packages and where each one was installed from.

MVT can also load module files by path, with --load-module and MVT_CUSTOM_MODULES, see Developing modules locally. This can be used while writing a module. Use a Python package to distribute one.

A custom module declares in supported_commands the platform and command pairs it runs in. A module with empty supported_commands does not run and MVT logs a warning. The nine pairs are:

("ios", "check-backup")
("ios", "check-fs")
("ios", "check-iocs")
("ios", "check-sysdiagnose")
("android", "check-backup")
("android", "check-bugreport")
("android", "check-androidqf")
("android", "check-intrusion-logs")
("android", "check-iocs")

check-iocs re-checks stored results rather than an acquisition. It matches every <slug>.json file in the results folder to the module with that slug. It then runs that module's check_indicators() again.

Writing a module

A module subclasses MVTModule or one of the base classes below and implements run(). check_indicators() and serialize() are optional. The first matches results against IOCs or detections. The second returns timeline records.

from mvt.plugin import IOSExtraction, convert_unix_to_iso


class ExampleCustomModule(IOSExtraction):
    supported_commands = (
        ("ios", "check-backup"),
        ("ios", "check-fs"),
    )
    slug = "example_custom_module"

    def run(self):
        self.results = [{"checked_at": convert_unix_to_iso(0)}]

    def check_indicators(self):
        pass

    def serialize(self, result):
        return None

The base classes are:

• MVTModule: the base of every module. It provides self.results, self.alertstore, self.log, self.indicators and get_dependency_results(). Subclass it directly for a module which reads only the results of other modules.
• IOSExtraction: ("ios", "check-backup") and ("ios", "check-fs"). Adds _find_ios_database(), which locates a module's database in a backup or in a filesystem dump and repairs it if it is malformed. Adds _get_backup_files_from_manifest(), _get_backup_file_from_id() and _get_fs_files_from_patterns(). Adds _open_sqlite_db(), which opens a database read-only.
• SysdiagnoseExtraction: ("ios", "check-sysdiagnose"). MVT extracts the archive and calls from_sysdiagnose_folder() before run(). The module reads files with _get_files_by_pattern() and _get_file_content(). ips_files lists the crash reports. See Check an iOS Sysdiagnose.
• AndroidQFModule: ("android", "check-androidqf"). MVT calls from_dir() or from_zip() with the file list of the acquisition. The module reads files with _get_files_by_pattern() and _get_file_content(). _get_device_timezone() returns the device timezone.
• AndroidBackupModule: ("android", "check-backup"). MVT calls from_dir() or from_ab(). The module reads files with _get_files_by_pattern() and _get_file_content().
• BugReportModule: ("android", "check-bugreport"). MVT calls from_dir() or from_zip(). The module reads files with _get_files_by_pattern(), _get_files_by_patterns() and _get_file_content(). _get_dumpstate_file() returns the dumpstate file, and _get_file_modification_time() the modification time of a file.

The underscore-named helpers are internal to the base classes. Plugin modules can call them. Their names and signatures can change between releases. Read the base class in src/mvt/ios/modules or src/mvt/android/modules before relying on one.

Depending on a built-in module

A module which post-processes records generated by one or more built-in MVT modules must declare the source modules in dependencies. It reads their results with get_dependency_results(). Import the class from its family package: mvt.ios.modules.backup, mvt.ios.modules.fs, mvt.ios.modules.mixed, mvt.android.modules.androidqf, mvt.android.modules.backup, mvt.android.modules.bugreport or mvt.android.modules.intrusion_logs.

from mvt.ios.modules.backup import Manifest
from mvt.plugin import MVTModule


class DependentCustomModule(MVTModule):
    supported_commands = (("ios", "check-backup"),)
    dependencies = (Manifest,)

    def run(self):
        manifest_results = self.get_dependency_results(Manifest)
        self.results = [{"manifest_entries": len(manifest_results)}]

Dependencies are ordered as for the built-in modules, with custom modules appended after the built-ins, see Module dependencies. A dependency has to run in every command the module supports. Where it does not, MVT skips the module with a warning.

get_dependency_results() returns the plain dictionaries the module produced. They are the same records it writes to <slug>.json. Typed results per module are planned.

Importing from MVT

Import from mvt.plugin if it has what you need. The names it exports are kept working on a best-effort basis. A change to one of them is announced in the release notes. Anything else in mvt can be imported too, but may change between releases without notice. The plugin interface is best effort.

mvt.plugin exports the base classes above and Command, Alert and AlertLevel, the result types, DatabaseNotFoundError and DatabaseCorruptedError, the timestamp converters, the settings API of Plugin Configuration, MVT's own settings, get_plugin_logger() and MVT_VERSION. src/mvt/plugin.py holds the list. Read MVT's settings for values such as NETWORK_ACCESS_ALLOWED and NETWORK_TIMEOUT. Plugin values go in the plugin's own settings file.

Installed module packages

Python packages can register modules so they load automatically in every module-running check-* command, without --load-module or MVT_CUSTOM_MODULES. Register an entry point in the mvt.modules group in the package's pyproject.toml:

[project.entry-points."mvt.modules"]
mvt-plugin-example-org = "mvt_plugin_example_org:get_modules"

The entry point must resolve to an iterable of MVTModule subclasses, or to a callable returning one:

from mvt.plugin import MVTModule


class PackagedModule(MVTModule):
    supported_commands = (("ios", "check-backup"),)

    def run(self):
        self.results = [{"message": "packaged module ran"}]


def get_modules() -> list[type[MVTModule]]:
    return [PackagedModule]

get_modules() is the package's module list, written by hand. A package which keeps its modules in separate files imports each class there and lists it. A module missing from the list does not load.

Installed modules follow the same rules as other custom modules: each module must declare supported_commands, and dependencies are resolved with the standard ordering logic. A broken entry point is skipped with a warning and does not prevent MVT from running. As with custom commands, installed module packages run as trusted code inside the MVT process, so install only packages from sources you trust.

For a pipx installation of MVT, inject the package into MVT's environment:

pipx inject mvt mvt-plugin-example-org

Module packages that need their own settings, such as an API key, should store them in a namespaced plugin configuration file rather than in MVT's own config.yaml.

Naming module packages

Name module packages mvt-plugin-<name> (import package mvt_plugin_<name>), and include the name of the publishing organization or author so packages from different groups do not collide: for example, an organisation's custom modules would be distributed as mvt-plugin-example-org with the import package mvt_plugin_example_org.

The prefix makes module packages easy to find on PyPI and keeps their import names from clashing with unrelated Python packages. It is a convention, not a technical requirement: modules load through the mvt.modules entry point regardless of what the package is called, and existing packages with other names keep working. Note that the prefix is also not a mark of authenticity — anyone can publish a package with any available name, so vet a module package and its publisher before installing it, whatever it is called.

Module logging

Modules log through self.log, and MVT names the logger for where the module came from. MVT's own modules log under their dotted path (for example mvt.ios.modules.mixed.whatsapp). Everything external is namespaced under mvt.ext to keep it visually distinct from built-in modules and isolated from MVT's internal logger tree:

• Installed packages log under mvt.ext.<package>, with the mvt_plugin_ prefix stripped: modules in mvt_plugin_example_org log as mvt.ext.example_org.*.
• Files loaded with --load-module or MVT_CUSTOM_MODULES log as mvt.ext.<file name>.

Outside a module class, for example in a custom command line handler, log through get_plugin_logger(__name__). It returns a logger in the same namespace.

Developing modules locally

While a module is being written, load it from its file. --load-module takes a Python file, or a folder of them, on every module-running command, and can be repeated:

mvt-ios check-backup --load-module ./example_module.py --output ./out ./backup

For a folder, MVT loads its non-hidden top-level *.py files in sorted order and skips __init__.py. MVT_CUSTOM_MODULES names a folder to load on every module-running command, before any --load-module path:

MVT_CUSTOM_MODULES=./custom_modules mvt-android check-bugreport ./bugreport.zip

Files loaded this way follow the same rules as packaged modules. --list-modules reports them with the SHA-256 hash of the file in place of a version. An editable install of the package (pip install -e .) also works: the modules load through the entry point, and mvt plugins list shows the package with the local origin.

Loading by path is for development. Move a module into a package once it works.

Auditing loaded modules

Because installed module packages load automatically, MVT records where every module came from:

• --list-modules groups the available modules by source: MVT itself (with its version), each installed package (with its version and, when installed directly from a repository, the commit), and each file loaded with --load-module or MVT_CUSTOM_MODULES (with the SHA-256 hash of the file).
• When a command runs with an --output folder, the command.log file records one line per module source with the source's version or hash and the list of modules loaded from it.
• mvt plugins list lists the installed packages, where each of them was installed from and how many modules it contributes, see Managing Plugins.

Profiling

Some MVT modules extract and process significant amounts of data during the analysis process or while checking results against known indicators. Care must be take to avoid inefficient code paths as we add new modules.

MVT modules can be profiled with Python built-in cProfile by setting the MVT_PROFILE environment variable.

MVT_PROFILE=1 dev/mvt-ios check-backup test_backup

Open an issue or PR if you are encountering significant performance issues when analyzing a device with MVT.