Independent application privacy research

See what your software reveals.

LeakVector studies the network behavior, privacy controls, and identity-linkability risks of desktop applications.

APPLICATIONNETWORK PATH
OBSERVED SIGNALS12 / 12
UNVERIFIED CLAIMS0
Privacy should be observable, testable, and explained in plain language.

Research focus

Applications have a privacy surface.

We examine that surface under realistic conditions: clean installation, normal use, changed privacy settings, and a protected network path.

Tunnel integrity

IPv4, IPv6, DNS, and VPN interruption behavior.

Identity linkability

Persistent identifiers that can connect sessions or changing network paths.

Telemetry minimization

Background traffic, third parties, and the practical effect of opt-out controls.

User control

Whether privacy choices are clear, effective, and retained after restart or update.

Evidence-led methodology

Built for conclusions that can be checked.

01

Observe

Measure what leaves an application—not what it claims to collect.

02

Verify

Separate direct evidence from inference and state the limits of every test.

03

Improve

Turn observations into clear user mitigations and durable vendor fixes.

● Every result records the application version, test environment, evidence level, and known limitations.

Research reports

Clear findings. Useful decisions.

Each assessment is structured for readers who need both the practical impact and the technical basis behind it.

A research project in progress

Follow the signal, not the promise.

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