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Add a "plugins" command to the platform-neutral mvt command. "plugins list" shows every installed plugin package with its version, where it was installed from, how many forensic modules it contributes and which commands it adds. "plugins check-updates" checks for updates immediately, without waiting for the automatic check, and prints the command which upgrades a plugin instead of installing anything. It lives on mvt only. The packages it lists extend mvt-ios and mvt-android too, but auditing them is not the job of a command which analyses one platform, and the two platform CLIs should not carry commands which are not about an acquisition. The command is registered as a built-in, before any external command, so that an installed package cannot replace this audit surface.
233 lines
8.0 KiB
Markdown
233 lines
8.0 KiB
Markdown
# Development
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The Mobile Verification Toolkit team welcomes contributions of new forensic modules or other contributions which help improve the software.
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## Local environment
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MVT uses `uv` for dependency management. To install the project and development dependencies from the locked environment, run:
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```bash
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make install
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```
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## Testing
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MVT uses `pytest` for unit and integration tests. Code style consistency is maintained with `ruff` and `mypy`. All can
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be run automatically with:
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```bash
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make check
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```
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Run these tests before making new commits or opening pull requests.
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## Module dependencies
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Modules can require other modules to run first by declaring their classes in
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`dependencies`. The command runner uses a stable topological ordering, so the
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existing module list order is preserved wherever dependency constraints allow.
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```python
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class DependentModule(MVTModule):
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dependencies = (PrerequisiteModule,)
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def run(self):
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prerequisite_results = self.get_dependency_results(PrerequisiteModule)
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```
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Selecting a single module also runs its transitive dependencies.
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A module can only depend on modules the command it runs in also has. When a
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declared dependency is not among them, the command logs a warning naming the
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module and the missing dependency, skips that module and everything depending
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on it, and runs the rest of the analysis. Selecting such a module with
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`--module` therefore leaves nothing to run, which the warning explains.
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A cycle in the dependency graph is a programming error rather than a
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configuration problem: the command logs a warning and runs no modules at all.
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## Custom modules
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Module-running `check-*` commands can load custom modules from Python files that
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are not installed as part of MVT. Load one file with:
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```bash
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mvt-ios check-backup --load-module ./example_module.py --output ./out ./backup
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```
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You can also load a folder. MVT loads non-hidden top-level `*.py` files in
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sorted order and skips `__init__.py`:
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```bash
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mvt-ios check-fs --load-module ./custom_modules ./filesystem-dump
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```
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Set `MVT_CUSTOM_MODULES` to load a folder for every module-running command. This
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folder is loaded before any `--load-module` path:
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```bash
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MVT_CUSTOM_MODULES=./custom_modules mvt-android check-bugreport ./bugreport.zip
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```
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Custom modules are normal `MVTModule` subclasses:
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```python
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from mvt.common.module import MVTModule
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class ExampleCustomModule(MVTModule):
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supported_commands = (("ios", "check-backup"), ("ios", "check-fs"))
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slug = "example_custom_module"
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def run(self):
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self.results = [{"message": "custom module ran"}]
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def check_indicators(self):
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pass
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def serialize(self, result):
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return None
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```
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Use `supported_commands` to declare the platform/command pairs a module
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supports. Empty `supported_commands` means the module will not run and MVT logs
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a warning. This explicit declaration is required for every command. Supported
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pairs are:
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```python
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("ios", "check-backup")
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("ios", "check-fs")
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("ios", "check-iocs")
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("ios", "check-sysdiagnose")
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("android", "check-backup")
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("android", "check-bugreport")
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("android", "check-androidqf")
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("android", "check-intrusion-logs")
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("android", "check-iocs")
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```
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Custom modules can depend on existing MVT module classes. Dependencies are
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resolved with the same ordering logic as built-in modules, and custom modules
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are appended after built-ins before ordering:
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```python
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from mvt.common.module import MVTModule
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from mvt.ios.modules.backup.manifest import Manifest
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class DependentCustomModule(MVTModule):
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supported_commands = (("ios", "check-backup"),)
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dependencies = (Manifest,)
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def run(self):
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manifest_results = self.get_dependency_results(Manifest)
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self.results = [{"manifest_entries": len(manifest_results)}]
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```
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## Installed module packages
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Python packages can register modules so they load automatically in every
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module-running `check-*` command, without `--load-module` or
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`MVT_CUSTOM_MODULES`. Register an entry point in the `mvt.modules` group in
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the package's `pyproject.toml`:
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```toml
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[project.entry-points."mvt.modules"]
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mvt-plugin-amnesty-custom = "mvt_plugin_amnesty_custom:get_modules"
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```
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The entry point must resolve to an iterable of `MVTModule` subclasses, or to
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a callable returning one:
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```python
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from mvt.common.module import MVTModule
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class PackagedModule(MVTModule):
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supported_commands = (("ios", "check-backup"),)
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def run(self):
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self.results = [{"message": "packaged module ran"}]
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def get_modules() -> list[type[MVTModule]]:
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return [PackagedModule]
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```
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Installed modules follow the same rules as other custom modules: each module
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must declare `supported_commands`, and dependencies are resolved with the
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standard ordering logic. A broken entry point is skipped with a warning and
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does not prevent MVT from running. As with custom commands, installed module
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packages run as trusted code inside the MVT process, so install only packages
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from sources you trust.
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For a `pipx` installation of MVT, inject the package into MVT's environment:
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```bash
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pipx inject mvt mvt-plugin-amnesty-custom
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```
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Module packages that need their own settings, such as an API key, should store
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them in a namespaced [plugin configuration file](plugin_configuration.md)
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rather than in MVT's own `config.yaml`.
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### Naming module packages
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Name module packages `mvt-plugin-<name>` (import package `mvt_plugin_<name>`),
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and include the name of the publishing organization or author so packages from
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different groups do not collide: for example, Amnesty International's custom
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modules would be distributed as `mvt-plugin-amnesty-custom` with the import
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package `mvt_plugin_amnesty_custom`.
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The prefix makes module packages easy to find on PyPI and keeps their import
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names from clashing with unrelated Python packages. It is a convention, not a
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technical requirement: modules load through the `mvt.modules` entry point
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regardless of what the package is called, and existing packages with other
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names keep working. Note that the prefix is also not a mark of authenticity —
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anyone can publish a package with any available name, so vet a module package
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and its publisher before installing it, whatever it is called.
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### Module logging
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Modules log through `self.log`, and MVT names the logger for where the module
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came from. MVT's own modules log under their dotted path (for example
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`mvt.ios.modules.mixed.whatsapp`). Everything external is namespaced under
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`mvt.ext` to keep it visually distinct from built-in modules and isolated from
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MVT's internal logger tree:
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- Installed packages log under `mvt.ext.<package>`, with the `mvt_plugin_`
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prefix stripped: modules in `mvt_plugin_amnesty_custom` log as
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`mvt.ext.amnesty_custom.*`.
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- Files loaded with `--load-module` or `MVT_CUSTOM_MODULES` log as
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`mvt.ext.<file name>`.
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## Auditing loaded modules
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Because installed module packages load automatically, MVT records where every
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module came from:
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- `--list-modules` groups the available modules by source: MVT itself
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(with its version), each installed package (with its version and, when
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installed directly from a repository, the commit), and each file loaded
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with `--load-module` or `MVT_CUSTOM_MODULES` (with the SHA-256 hash of the
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file).
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- When a command runs with an `--output` folder, the `command.log` file
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records one line per module source with the source's version or hash and
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the list of modules loaded from it.
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- `mvt plugins list` lists the installed packages, where each of them
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was installed from and how many modules it contributes, see
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[Managing Plugins](plugins.md).
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## Profiling
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Some MVT modules extract and process significant amounts of data during the analysis process or while checking results against known indicators. Care must be
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take to avoid inefficient code paths as we add new modules.
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MVT modules can be profiled with Python built-in `cProfile` by setting the `MVT_PROFILE` environment variable.
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```bash
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MVT_PROFILE=1 dev/mvt-ios check-backup test_backup
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```
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Open an issue or PR if you are encountering significant performance issues when analyzing a device with MVT.
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