A modular framework to gather file information for SBOM generation and dependency analysis.
Surfactant can be used to gather information from a set of files to generate an SBOM, along with manipulating SBOMs and analyzing the information in them. It pulls information from recognized file types (such as PE, ELF, or MSI files) contained within a directory structure corresponding to an extracted software package. By default, the information is "surface-level" metadata contained in the files that does not require running the files or decompilation.
For ease of use, we recommend using pipx since it transparently handles creating and using Python virtual environments, which helps avoid dependency conflicts with other installed Python apps. Install pipx
by following their installation instructions.
- Install Surfactant using
pipx install
(with python >= 3.8)
pipx install surfactant
- Install plugins using
pipx inject surfactant
. As an example, this is how the fuzzy hashing plugin could be installed from a git repository (PyPI package names, local source directories, or wheel files can also be used).
pipx inject surfactant git+https://github.com/LLNL/Surfactant#subdirectory=plugins/fuzzyhashes
If for some reason manually managing virtual environments is desired, the following steps can be used instead:
- Create a virtual environment with python >= 3.8 and activate it [Optional, but highly recommended over a global install]
python -m venv cytrics_venv
source cytrics_venv/bin/activate
- Install Surfactant with
pip install
pip install surfactant
- Install plugins using
pip install
. As an example, this is how the fuzzy hashing plugin could be installed from a git repository (PyPI package names, local source directories, or wheel files can also be used).
pip install git+https://github.com/LLNL/Surfactant#subdirectory=plugins/fuzzyhashes
- Create a virtual environment with python >= 3.8 [Optional, but recommended]
python -m venv cytrics_venv
source cytrics_venv/bin/activate
- Clone sbom-surfactant
git clone [email protected]:LLNL/Surfactant.git
- Create an editable surfactant install (changes to code will take effect immediately):
pip install -e .
To install optional dependencies required for running pytest and pre-commit:
pip install -e ".[test,dev]"
pip install
with the -e
or --editable
option can also be used to install Surfactant plugins for development.
pip install -e plugins/fuzzyhashes
Surfactant settings can be changed using the surfactant config
subcommand, or by hand editing the settings configuration file (this is not the same as the JSON file used to configure settings for a particular sample that is described later).
Using surfactant config
is very similar to the basic use of git config
. The key whose value is being accessed will be in the form section.option
where section
is typically a plugin name or core
, and option
is the option to set. As an example, the core.recorded_institution
option can be used to configure the recorded institution used to identify who the creator of a generated SBOM was.
Setting this option to LLNL
could be done with the following command:
surfactant config core.recorded_institution LLNL
Getting the currently set value for the option would then be done with:
surfactant config core.recorded_institution
If desired, the settings config file can also be manually edited. The location of the file will depend on your platform.
On Unix-like platforms (including macOS), the XDG directory specification is followed and settings will be stored in
${XDG_CONFIG_HOME}/surfactant/config.toml
. If the XDG_CONFIG_HOME
environment variable is not set, the location defaults
to ~/.config
. On Windows, the file is stored in the Roaming AppData folder at %APPDATA%\\surfactant\\config.toml
.
The file itself is a TOML file, and for the previously mentioned example plugin may look something like this:
[core]
recorded_institution = "LLNL"
In order to test out surfactant, you will need a sample file/folder. If you don't have one on hand, you can download and use the portable .zip file from https://github.com/ShareX/ShareX/releases or the Linux .tar.gz file from https://github.com/GMLC-TDC/HELICS/releases. Alternatively, you can pick a sample from https://lc.llnl.gov/gitlab/cir-software-assurance/unpacker-to-sbom-test-files
A configuration file for a sample contains the information about the sample to gather information from. Example JSON sample configuration files can be found in the examples folder of this repository.
extractPaths: (required) the absolute path or relative path from location of current working directory that surfactant
is being run from to the sample folders, cannot be a file (Note that even on Windows, Unix style /
directory separators should be used in paths)
archive: (optional) the full path, including file name, of the zip, exe installer, or other archive file that the folders in extractPaths were extracted from. This is used to collect metadata about the overall sample and will be added as a "Contains" relationship to all software entries found in the various extractPaths
installPrefix: (optional) where the files in extractPaths would be if installed correctly on an actual system i.e. "C:/", "C:/Program Files/", etc (Note that even on Windows, Unix style /
directory separators should be used in the path). If not given then the extractPaths will be used as the install paths
A basic configuration file can be easily built using the create-config
command. This will take a path as a command line argument and will save a file with the default name of the end directory passed to it as a json file. i.e., /home/user/Desktop/myfolder
will create myfolder.json
.
$ surfactant create-config [INPUT_PATH]
The --output flag can be used to specify the configuration output name. The --install-prefix can be used to specify the install prefix, the default is '/'.
$ surfactant create-config [INPUT_PATH] --output new_output.json --install-prefix 'C:/'
Lets say you have a .tar.gz file that you want to run surfactant on. For this example, we will be using the HELICS release .tar.gz example. In this scenario, the absolute path for this file is /home/samples/helics.tar.gz
. Upon extracting this file, we get a helics folder with 4 sub-folders: bin, include, lib64, and share.
If we want to include only the folders that contain binary files to analyze, our most basic configuration would be:
[
{
"extractPaths": ["/home/samples/helics/bin", "/home/samples/helics/lib64"]
}
]
The resulting SBOM would be structured like this:
{
"software": [
{
"UUID": "abc1",
"fileName": ["helics_binary"],
"installPath": ["/home/samples/helics/bin/helics_binary"],
"containerPath": null
},
{
"UUID": "abc2",
"fileName": ["lib1.so"],
"installPath": ["/home/samples/helics/lib64/lib1.so"],
"containerPath": null
}
],
"relationships": [
{
"xUUID": "abc1",
"yUUID": "abc2",
"relationship": "Uses"
}
]
}
A more detailed configuration file might look like the example below. The resulting SBOM would have a software entry for the helics.tar.gz with a "Contains" relationship to all binaries found to in the extractPaths. Providing the install prefix of /
and an extractPaths as /home/samples/helics
will allow to surfactant correctly assign the install paths in the SBOM for binaries in the subfolders as /bin
and /lib64
.
[
{
"archive": "/home/samples/helics.tar.gz",
"extractPaths": ["/home/samples/helics"],
"installPrefix": "/"
}
]
The resulting SBOM would be structured like this:
{
"software": [
{
"UUID": "abc0",
"fileName": ["helics.tar.gz"],
"installPath": null,
"containerPath": null
},
{
"UUID": "abc1",
"fileName": ["helics_binary"],
"installPath": ["/bin/helics_binary"],
"containerPath": ["abc0/bin/helics_binary"]
},
{
"UUID": "abc2",
"fileName": ["lib1.so"],
"installPath": ["/lib64/lib1.so"],
"containerPath": ["abc0/lib64/lib1.so"]
}
],
"relationships": [
{
"xUUID": "abc0",
"yUUID": "abc1",
"relationship": "Contains"
},
{
"xUUID": "abc0",
"yUUID": "abc2",
"relationship": "Contains"
},
{
"xUUID": "abc1",
"yUUID": "abc2",
"relationship": "Uses"
}
]
}
If our sample helics tar.gz file came with a related tar.gz file to install a plugin extension module (extracted into a helics_plugin folder that contains bin and lib64 subfolders), we could add that into the configuration file as well:
[
{
"archive": "/home/samples/helics.tar.gz",
"extractPaths": ["/home/samples/helics"],
"installPrefix": "/"
},
{
"archive": "/home/samples/helics_plugin.tar.gz",
"extractPaths": ["/home/samples/helics_plugin"],
"installPrefix": "/"
}
]
The resulting SBOM would be structured like this:
{
"software": [
{
"UUID": "abc0",
"fileName": ["helics.tar.gz"],
"installPath": null,
"containerPath": null
},
{
"UUID": "abc1",
"fileName": ["helics_binary"],
"installPath": ["/bin/helics_binary"],
"containerPath": ["abc0/bin/helics_binary"]
},
{
"UUID": "abc2",
"fileName": ["lib1.so"],
"installPath": ["/lib64/lib1.so"],
"containerPath": ["abc0/lib64/lib1.so"]
},
{
"UUID": "abc3",
"fileName": ["helics_plugin.tar.gz"],
"installPath": null,
"containerPath": null
},
{
"UUID": "abc4",
"fileName": ["helics_plugin"],
"installPath": ["/bin/helics_plugin"],
"containerPath": ["abc3/bin/helics_plugin"]
},
{
"UUID": "abc5",
"fileName": ["lib_plugin.so"],
"installPath": ["/lib64/lib_plugin.so"],
"containerPath": ["abc3/lib64/lib_plugin.so"]
}
],
"relationships": [
{
"xUUID": "abc1",
"yUUID": "abc2",
"relationship": "Uses"
},
{
"xUUID": "abc4",
"yUUID": "abc5",
"relationship": "Uses"
},
{
"xUUID": "abc5",
"yUUID": "abc2",
"relationship": "Uses"
},
{
"xUUID": "abc0",
"yUUID": "abc1",
"relationship": "Contains"
},
{
"xUUID": "abc0",
"yUUID": "abc2",
"relationship": "Contains"
},
{
"xUUID": "abc3",
"yUUID": "abc4",
"relationship": "Contains"
},
{
"xUUID": "abc3",
"yUUID": "abc5",
"relationship": "Contains"
}
]
}
NOTE: These examples have been simplified to show differences in output based on configuration.
$ surfactant generate [OPTIONS] CONFIG_FILE SBOM_OUTFILE [INPUT_SBOM]
CONFIG_FILE: (required) the config file created earlier that contains the information on the sample
SBOM OUTPUT: (required) the desired name of the output file
INPUT_SBOM: (optional) a base sbom, should be used with care as relationships could be messed up when files are installed on different systems
--skip_gather: (optional) skips the gathering of information on files and adding software entires
--skip_relationships: (optional) skips the adding of relationships based on metadata
--skip_install_path: (optional) skips including an install path for the files discovered. This may cause "Uses" relationships to also not be generated
--recorded_institution: (optional) the name of the institution collecting the SBOM data (default: LLNL)
--output_format: (optional) changes the output format for the SBOM (given as full module name of a surfactant plugin implementing the write_sbom
hook)
--input_format: (optional) specifies the format of the input SBOM if one is being used (default: cytrics) (given as full module name of a surfactant plugin implementing the read_sbom
hook)
--help: (optional) show the help message and exit
This section contains a list of entries relating to each piece of software found in the sample. Metadata including file size, vendor, version, etc are included in this section along with a uuid to uniquely identify the software entry.
This section contains information on how each of the software entries in the previous section are linked.
Uses: this relationship type means that x software uses y software i.e. y is a helper module to x
Contains: this relationship type means that x software contains y software (often x software is an installer or archive such as a zip file)
This section contains information about notable observations about individual software components. This could be vulnerabilities, observed features, etc
A folder containing multiple separate SBOM JSON files can be combined using merge_sbom.py with a command such the one below that gets a list of files using ls, and then uses xargs to pass the resulting list of files to merge_sbom.py as arguments.
ls -d ~/Folder_With_SBOMs/Surfactant-* | xargs -d '\n' surfactant merge --config_file=merge_config.json --sbom_outfile combined_sbom.json
If the config file option is given, a top-level system entry will be created that all other software entries are tied to (directly or indirectly based on other relationships). Specifying an empty UUID will make a random UUID get generated for the new system entry, otherwise it will use the one provided.
Details on the merge command can be found in the docs page here.
Surfactant supports using plugins to add additional features. For users, installing and enabling a plugin usually just involves
doing a pipx inject surfactant
when using pipx or pip install
of the plugin if manually managing virtual environments.
Detailed information on configuration options for the plugin system and how to develop new plugins can be found here.
Full user guides for Surfactant are available online and in the docs directory.
For questions or support, please create a new discussion on GitHub Discussions, or open an issue for bug reports and feature requests.
Contributions are welcome. Bug fixes or minor changes are preferred via a pull request to the Surfactant GitHub repository. For more information on contributing see the CONTRIBUTING file.
Surfactant is released under the MIT license. See the LICENSE and NOTICE files for details. All new contributions must be made under this license.
SPDX-License-Identifier: MIT
LLNL-CODE-850771