Threat actor
Perceptics
Last fetched
Perceptics is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
Perceptics, a Tennessee-based subcontractor, became widely known after a hack exposed sensitive data, including license plate images and drivers' photos, collected by their license plate readers for U.S. Customs and Border Protection (CBP). Perceptics has also faced criticism for its role in gathering and analyzing location data, particularly in border communities. Internal emails reveal that Perceptics engaged in controversial trials combining license plate readers with facial recognition technology, and lobbied to influence privacy legislation while downplaying their involvement in data use. The company also transferred license plate and traveler images to its own privately owned network, causing it to be suspended by CBP.
Techniques by tactic
No ATT&CK techniques are recorded for Perceptics in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to Perceptics today — this states the absence of a published link, not that Perceptics has no infrastructure.
References
- https://www.washingtonpost.com/technology/2019/07/02/border-surveillance-subcontractor-suspended-after-cyberattack-misuse-traveler-images/
- https://theintercept.com/2019/07/15/hacked-surveillance-perceptics-congress-lobby-privacy/
- https://www.theregister.com/2019/05/23/perceptics_hacked_license_plate_recognition/
- https://theintercept.com/2019/07/09/surveillance-perceptics-new-york-city-drivers/
- https://www.washingtonpost.com/technology/2019/06/10/us-customs-border-protection-says-photos-travelers-into-out-country-were-recently-taken-data-breach/
- https://theintercept.com/2020/02/26/henry-cuellar-perceptics-hack/
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from Perceptics 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 25Techniques 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 1000Infrastructure publicly attributed to this actor.
MATCH (n)-[:ATTRIBUTED_TO]->(a:ACTOR {name: $name})
RETURN labels(n)[0] AS kind, n.name AS name
LIMIT 25Or query Whisper from your own LLM workflow via the Whisper MCP server.