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Threat actor

Voyager Labs

Last fetched

Voyager Labs is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.

Description

Voyager Labs is a developer of AI-driven investigation tools designed for law enforcement, national security, and corporate security. Its platforms, such as VoyagerAnalytics and VoyagerInsights, are capable of analyzing large amounts of unstructured data from open, deep, and dark web sources, as well as internal databases. These tools help uncover social connections, analyze human behavior, and identify targets. Between 2018 and 2019, dozens of journalists were targets of Colombian military intelligence using VoyagerAnalytics. The company was exposed for creating fake accounts to scrape data from platforms like Facebook and Instagram. This resulted in Meta filing a lawsuit against Voyager Labs for improper data collection from millions of its users. The New York Police Department (NYPD) and the Los Angeles Police Department (LAPD) have reportedly used Voyager Labs' tools to scrape data from social media platforms as part of their surveillance efforts. While it has relocated its headquarters to the United States, its origins and R&D center remain in Israel. It has additional offices and a registered entity in the UK.

Techniques by tactic

No ATT&CK techniques are recorded for Voyager Labs in WhisperGraph.

Attributed infrastructure

None published. WhisperGraph carries no ATTRIBUTED_TO edge to Voyager Labs today — this states the absence of a published link, not that Voyager Labs has no infrastructure.

References

© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.

Related pages

Pivot from Voyager Labs into its techniques, tactics and any attributed infrastructure.

Queries

Resolves the slug to this actor, merging every duplicate node sharing the same name.


MATCH (a:ACTOR)
WHERE a.name =~ $pattern OR any(x IN a.aliases WHERE x =~ $pattern)
RETURN a.id AS id, a.name AS name, a.aliases AS aliases, a.description AS description,
       a.references AS references, a.campaigns AS campaigns
LIMIT 25
Run yourself →

Techniques this actor uses, grouped by the tactic each one serves.


MATCH (a:ACTOR {name: $name})-[:USES_TECHNIQUE]->(t:ATTACK_PATTERN)
OPTIONAL MATCH (t)-[:USES_TACTIC]->(tac:ATTACK_PATTERN)
RETURN t.id AS techniqueId, t.name AS techniqueName, tac.id AS tacticId, tac.name AS tacticName
LIMIT 1000
Run yourself →

Infrastructure publicly attributed to this actor.


MATCH (n)-[:ATTRIBUTED_TO]->(a:ACTOR {name: $name})
RETURN labels(n)[0] AS kind, n.name AS name
LIMIT 25
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.