Blackbird is an open-source OSINT tool that helps investigators discover publicly accessible accounts across multiple online platforms using usernames or email addresses. It can support digital investigations, online identity research, and authorized security assessments by gathering account information from supported services.
The tool includes WhatsMyName integration, configurable search options, and export features for documenting findings. Investigators can save results in PDF and CSV formats or examine HTTP response data for additional context. Blackbird can also complement other open-source OSINT tools when correlating publicly available information across different platforms.
These features make Blackbird useful for authorized digital investigations, exposure assessments, and research into publicly visible online identities. However, results depend on platform availability, detection methods, and the current state of the tool.
Blackbird is available from its official GitHub repository. Before installation, ensure that Git and a compatible Python version are available on your system. Review the repository’s latest documentation for supported versions and any updated setup requirements.
Open a terminal and download the project files:
git clone https://github.com/p1ngul1n0/blackbird.git cd blackbird
Install the dependencies listed in the project’s requirements file:
pip install -r requirements.txt
For a cleaner setup, create a virtual environment before installing the packages. This helps isolate Blackbird’s dependencies from those used by other Python projects.
python -m venv .venv
Activate the environment using the command appropriate for your operating system, then install the requirements. On Linux, activation typically uses:
source .venv/bin/activate python -m pip install -r requirements.txt
After installation, consult the project’s README or command-line help to confirm the options supported by your current version. The following examples illustrate the username, email, and PDF export syntax documented for Blackbird.
Search for one or more usernames across supported platforms:
python blackbird.py --username username1 username2 username3
This can help investigators identify public profiles associated with known aliases. Review each result individually because different people may use the same username, and some platforms may return incomplete or outdated information.
Use the email option to check for potential account associations:
python blackbird.py --email email1@example.com email2@example.com
Replace the example addresses with email addresses you are authorized to investigate. Treat matches as leads rather than proof of identity, and verify important findings against reliable public sources.
Where supported by the installed version, add the PDF option to save search results:
python blackbird.py --email email1@example.com --pdf
PDF exports can help organize findings for case notes and investigation reports. Check the project’s documentation for other export options and the location where generated files are stored.
Blackbird can help streamline public account discovery, but automated searches cannot guarantee complete or accurate results. A matching username or email address does not independently establish that two accounts belong to the same person.
Use the tool only for legitimate research, authorized investigations, or approved security assessments. Handle personal information carefully, respect applicable privacy laws and platform terms, and avoid collecting or distributing information beyond the investigation’s purpose. Before deployment, review the source code, dependencies, and current usage guidance in the Blackbird GitHub repository.
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