Packaging Format
Plugin Packaging and Format
A Plugin Archive is a ZIP archive that contains an IDA plugin and its associated ida-plugin.json metadata file.
The metadata file should be found in the root directory of the plugin within the archive.
For example:
plugin.zip
├── ida-plugin.json
└── plugin.py
Or for a native plugin:
plugin.zip
├── ida-plugin.json
├── plugin.so
├── plugin.dylib
└── plugin.dll
ida-plugin.json
The ida-plugin.json file is the marker for an IDA Pro plugin.
A typical ida-plugin.json file might look like this:
{
"IDAMetadataDescriptorVersion": 1,
"plugin": {
"name": "oplog",
"entryPoint": "oplog_entry.py",
"version": "0.1.2",
"idaVersions": ["9.1", "9.2"],
"description": "oplog is an IDA Pro plugin that records operations during analysis.",
"license": "Apache 2.0",
"categories": [
"ui-ux-and-visualization"
],
"pythonDependencies": ["pydantic>=2"],
"urls": {
"repository": "https://github.com/williballenthin/idawilli"
},
"authors": [{
"name": "Willi Ballenthin",
"email": "wballenthin@hex-rays.com"
}],
"keywords": [
"activity-tracking",
"workflow-analysis",
"reverse-engineering-methodology",
"ai-training-data",
"analysis-visualization"
]
}
}
And a minimal ida-plugin.json could look like this:
{
"IDAMetadataDescriptorVersion": 1,
"plugin": {
"name": "oplog",
"entryPoint": "oplog_entry.py",
"version": "0.1.2",
"urls": {
"repository": "https://github.com/williballenthin/idawilli"
},
"authors": [{
"name": "Willi Ballenthin",
"email": "wballenthin@hex-rays.com"
}]
}
}
In addition to the primary fields described initially on the Hex-Rays docs, HCLI compatibility added new, required fields in ida-plugin.json:
version: the version of the plugin archiveurls.repository: the repository that publishes the pluginauthors(ormaintainers): name and/or email. Social media handles are ok!
And there are new optional fields:
.plugin.pythonDependenciesis a list of packages on PyPI that will be installed.plugin.keywordsis a list of terms to help users searching for plugins.plugin.platformsis recommended, defaults to all platforms. The possible values are:windows-x86_64,linux-x86_64,macos-x86_64, andmacos-aarch64..plugin.licensefor the code license of your project.plugin.settingsis a list of descriptors of settings
If there's a problem with the ida-plugin.json file, then the plugin is invalid and won't work with the repo.
Unfortunately even things like trailing commas will break strict JSON parsers like the one used by HCLI.
So, you can use hcli plugin lint /path/to/plugin[.zip] to check for problems and suggestions.
Shared Settings
HCLI is aware of settings that plugins declare in ida-plugin.json and prompts users for their value
during installation. The settings are written into ida-config.json and can be queried at plugin runtime
using the ida-settings (v3) Python package:
import ida_settings
api_key = ida_settings.get_current_plugin_setting("openai_key")
Plugin authors are encouraged to adopt this configuration system, as it provides a centralized way to manage edits from both the CLI and (eventually) the GUI, users don't have to manually edit source code/config files, and the data can be easily exported/imported.
Coming Soon
The associated IDA plugin ida-settings-editor that lets users configure plugin settings within IDA is not yet available. We plan to introduce it in a future release.
Source Archives and Binary Archives
For many pure-Python IDA plugins, source archives are often sufficient. This means you don't have to create any GitHub Actions workflows; you just have to tag your releases in GitHub.
If you distribute your pure-Python IDA plugin via PyPI, like IPyIDA does, then the plugin directory in your source archive becomes very simple. You can put the following content in a subdirectory of the project (preferred), or publish a separate repository for the metadata:
.
├── ida-plugin.json
└── entry_stub.py
With ida-plugin.json:
{
"IDAMetadataDescriptorVersion": 2,
"plugin": {
"name": "plugin1",
"entryPoint": "entry_stub.py",
"version": "1.0",
"idaVersions": ["9.0", "9.1", "9.2"],
"pythonDependencies": ["ida-plugin1==1.0"],
"urls": {
"repository": "https://github.com/foo/bar"
},
"authors": [{
"email": "user@example.com"
}]
}
}
And the entry stub:
from ida_plugin1.ida_plugin import PLUGIN_ENTRY
"Fat" Binary Plugin Archives
Plugin archives can contain multiple compiled versions of a plugin, e.g., foo-plugin.so and foo-plugin.dylib.
In this case, the entry point must specify the bare path to the plugin, e.g., foo-plugin, and IDA will append the appropriate extension based on the platform.
You don't have to support all platforms. It's acceptable to publish multiple "thin" archives, one for each platform; however, "fat" archives are convenient.
The file extensions must be exactly:
.dll- Windows x86-64.so- Linux 86-64_x86_64.dylib- macOS x86_64 (not yet supported by IDA)_aarch64.dylib- macOS aarch64 (not yet supported by IDA).dylib- macOS Universal Binary, only if Intel/ARM dylibs aren't present. (note: you must use this for macOS currently)
Remember, plugin names must be unique within a plugin archive, which means:
Allowed:
root/
plugin/
ida-plugin.json (name: foo-plugin)
foo-plugin.so
foo-plugin.dylib
foo-plugin.dll
Disallowed:
root/
plugin-linux/
ida-plugin.json (name: foo-plugin)
foo-plugin.so
plugin-windows/
ida-plugin.json (name: foo-plugin) <-- name collides!
foo-plugin.dll
(uncommon) Multi-Plugin Archives
Because the ida-plugin.json file marks the root of a plugin within the archive, an archive can contain multiple plugins:
plugins.zip
├── plugin1
│ ├── plugin1.py
│ └── ida-plugin.json
└── plugin2
├── plugin2.py
└── ida-plugin.json