Donncha Ó Cearbhaill
d02b9676c8
The two primary InteractionC queries contained a SQL syntax error in
their direction CASE expression (a double column alias), so they always
failed and the module silently fell back to a reduced query without the
recipient join. As a result outgoing messages were serialized with no
counterpart at all ("from None (None)"). Fix the syntax so recipient
names and identifiers are extracted again, and normalize the raw 0/1
direction values from the fallback queries to INCOMING/OUTGOING.
WhatsApp identifies chat peers in interactionC.db by LID and stores the
peer LID in the domain identifier, which InteractionC could not map to a
person. Declare a dependency on the WhatsappContacts module and resolve
sender, recipient and domain identifiers (LID, JID or phone number)
against the WhatsApp contacts database, adding resolved phone number and
name fields to WhatsApp records.
Rewrite the timeline serialization to use the resolved values, fall back
to the chat peer from the domain identifier when no recipient was
recorded, label the local user instead of printing None, and include the
message direction and group name.
Mobile Verification Toolkit
Important
We recently merged the "v3" branch. This introduced breaking changes. If you relied on mvt output in other scripts They might have broken. More details: https://github.com/mvt-project/mvt/issues/757
Mobile Verification Toolkit (MVT) is a collection of utilities to simplify and automate the process of gathering forensic traces helpful to identify a potential compromise of Android and iOS devices.
It has been developed and released by the Amnesty International Security Lab in July 2021 in the context of the Pegasus Project along with a technical forensic methodology. It continues to be maintained by Amnesty International and other contributors.
Note
MVT is a forensic research tool intended for technologists and investigators. It requires understanding digital forensics and using command-line tools. This is not intended for end-user self-assessment. If you are concerned with the security of your device please seek reputable expert assistance.
Indicators of Compromise
MVT supports using public indicators of compromise (IOCs) to scan mobile devices for potential traces of targeting or infection by known spyware campaigns. This includes IOCs published by Amnesty International and other research groups.
Warning
Public indicators of compromise are insufficient to determine that a device is "clean", and not targeted with a particular spyware tool. Reliance on public indicators alone can miss recent forensic traces and give a false sense of security.
Reliable and comprehensive digital forensic support and triage requires access to non-public indicators, research and threat intelligence.
Such support is available to civil society through Amnesty International's Security Lab or through our forensic partnership with Access Now’s Digital Security Helpline.
More information about using indicators of compromise with MVT is available in the documentation.
Installation
MVT can be installed from sources or from PyPI (you will need some dependencies, check the documentation):
pip3 install mvt
You can also install MVT from PyPI with uv. First, install uv:
curl -LsSf https://astral.sh/uv/install.sh | sh
Then install MVT as a command-line tool:
uv tool install mvt
For alternative installation options and known issues, please refer to the documentation as well as GitHub Issues.
Usage
MVT provides two commands mvt-ios and mvt-android. Check out the documentation to learn how to use them!
Shell completion
MVT can generate shell completion scripts for Bash, Zsh, and Fish:
mvt-ios completion
mvt-android completion
The commands print setup instructions by default. To generate a completion script directly, pass the shell name:
mvt-ios completion bash
mvt-android completion zsh
MVT only writes completion files or shell configuration when --install is passed. See the command completion documentation for details.
Module-running check-* commands can load custom Python modules with
--load-module PATH or from a folder set in MVT_CUSTOM_MODULES. See the
development documentation for
details.
Users can also add top-level commands to mvt-ios and mvt-android from
installed Python packages or local files and folders. See the
custom CLI command documentation
for the plugin entry points and --load-command interface.
License
The purpose of MVT is to facilitate the consensual forensic analysis of devices of those who might be targets of sophisticated mobile spyware attacks, especially members of civil society and marginalized communities. We do not want MVT to enable privacy violations of non-consenting individuals. In order to achieve this, MVT is released under its own license. Read more here.