Threat actor
Babel Street
Last fetched
Babel Street is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
Babel Street provides tools that analyzes and monitors social media and other online sources for law enforcement and intelligence purposes. Used by U.S Secret Service, it can scrape data from over 25 social media sites, translate over 200 languages, and set up geo-fences with customizable filtering options. The software can also survey sentiment geographically over time and import data to other surveillance platforms like Palantir. One of its primary AI products, Babel X, is used by the U.S Customs and Border Protection (CBP) to analyze the social media of U.S. citizens, refugees, and asylum seekers. Babel X can link social media posts to individuals' Social Security numbers, location data, and collect a wide range of other identifiers, including IP addresses, employment history, and unique advertising identifiers. CBP also uses Locate X, an add-on that includes smartphone location data, and has access to AdID information. Locate X can zoom into a specific location and display the movements of smartphones in that area. Each phone, represented by a red dot on the map, can be tracked individually. The tool can show the path a specific device has taken, including stops at various locations. Babel Street's acquisitions include intelligence company Vertical Knowledge in 2024, Rosette, a text analytics platform, in 2022, and Dunami, a social media intelligence company, in 2020. Its board of advisers includes Robert Ashley, ex-director of the Defense Intelligence Agency.
Techniques by tactic
No ATT&CK techniques are recorded for Babel Street in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to Babel Street today — this states the absence of a published link, not that Babel Street has no infrastructure.
References
- https://www.vice.com/en/article/gv7g3m/meet-babel-street-the-powerful-social-media-surveillance-used-by-police-secret-service-and-sports-stadiums
- https://www.vice.com/en/article/m7bge3/dhs-uses-ai-tool-babel-x-babel-street-social-media-citizens-refugees
- https://www.404media.co/inside-the-u-s-government-bought-tool-that-can-track-phones-at-abortion-clinics/
- https://theintercept.com/2021/11/04/treasury-surveillance-location-data-babel-street/
- https://fedscoop.com/babel-x-fbi-purchases-5000-licenses/
- https://www.babelstreet.com/about-us/newsroom/babel-street-announces-strategic-acquisition-of-vertical-knowledge
- https://www.businesswire.com/news/home/20221128005123/en/Babel-Street-to-Acquire-Rosette-A-Leading-Provider-of-AI-Powered-Text-Analytics-Software
- https://technical.ly/startups/ma-moves-mergers-acquisitions-babel-street-thycotic-cloudbolt-software/
- https://www.intelligenceonline.com/surveillance--interception/2021/12/30/how-osint-has-worked-its-way-among-cyber-intelligence-experts,109713947-eve
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from Babel Street 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.