besendorf b8331ddac8 Replace split("\n") with splitlines() for platform compatibility and other todos and chores (#746)
* Replace split("\n") with splitlines() for platform compatibility

* Remove dead commented-out code in webkit_session_resource_log

* Remove stale FIXME comment in command.py

* Narrow bare except to specific exception types in convert_mactime_to_datetime

* Fix typo in aqf_files.py comment

* Refactor b64 encoding in configuration_profiles into helper methods

* Pass branch parameter to GitHub commits API in update checker

* Replace bare KeyError catch with explicit key check in net_base

* Remove confirmed Chrome database path TODOs

Backup IDs verified via SHA-1 of AppDomain-com.google.chrome.ios paths.

* Extract additional timestamps from WebKit ObservedDomains table

Query mostRecentUserInteractionTime and mostRecentWebPushInteractionTime
with fallback to the original 4-column query for older iOS versions.

* Clarify command_line list format matches protobuf schema in tombstone parser

* Support SHA1 and MD5 hash matching in AQF files module

* Remove resolved TODO about --output requirement in download-apks

* Clean up code TODOs and type checks

* Fix WebKit timestamp schema handling
2026-06-05 20:15:56 +02:00
2024-06-24 18:50:42 +02:00
2024-12-13 22:45:41 +01:00
2021-07-25 12:01:23 +02:00

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

Documentation Status CI Downloads

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 Nows 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!

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.

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