Threat actor
CloudWalk Technology
Last fetched
CloudWalk Technology is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
CloudWalk Technology is an AI company that has developed facial recognition software designed to track and surveil members of ethnic minority groups, including Tibetans and Uyghurs, and alert authorities if too many individuals gather in specific locations. Cloudwalk’s surveillance technology is also used outside of China. In 2018, Cloudwalk and the Zimbabwean government agreed to the installment of a mass surveillance network in Zimbabwe. The agreement included a requirement that the Zimbabwean government send images it acquires from the surveillance network back to Cloudwalk’s offices in China, so that Cloudwalk could improve the ability of its facial recognition software to recognize individuals based on skin pigmentation.
Techniques by tactic
No ATT&CK techniques are recorded for CloudWalk Technology in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to CloudWalk Technology today — this states the absence of a published link, not that CloudWalk Technology has no infrastructure.
References
- https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html
- https://www.theguardian.com/news/2019/apr/11/china-hi-tech-war-on-muslim-minority-xinjiang-uighurs-surveillance-face-recognition
- https://home.treasury.gov/news/press-releases/jy0538
- https://adf-magazine.com/2023/01/zimbabwe-turns-to-chinese-technology-to-expand-surveillance-of-citizens/
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from CloudWalk Technology 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 25Run 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 1000Run 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 25Run yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.