Skip to content
Install MCP

Threat actor

SenseNets

Last fetched

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

Description

SenseNets, a Chinese company that provides facial recognition software and video-based crowd analysis, is heavily involved in surveillance activities, particularly in East Turkistan (renamed Xinjiang by China.) The company operates a massive database that has been used to monitor the Uyghur population. In 2019, Victor Gevers, a Dutch security researcher, discovered that SenseNets had left a database exposed online without authentication. This database contained sensitive personal information on over 2.5 million individuals, including names, ID card details, home addresses, photos, and GPS tracking data. The system actively recorded millions of GPS coordinates daily, tracking individuals' movements across locations such as mosques, hotels, police stations, and restaurants. The database also included information on public camera locations, suggesting integration with government surveillance infrastructure. SenseNets is part of China's Skynet Project, a national mass surveillance system. The company also has connections to prominent AI researchers and institutions, such as the Chinese University of Hong Kong, as well as other major Chinese surveillance firms like SenseTime and Hikvision.

Techniques by tactic

No ATT&CK techniques are recorded for SenseNets in WhisperGraph.

Attributed infrastructure

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

References

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

Related pages

Pivot from SenseNets 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.