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Technology

SparkLabs

Last fetched

SparkLabs is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under virtual private networks, with a published adopter count of 14 hostnames.

Profile

Category
virtual private networks
Broader grouping
it infrastructure
Published adopter count
14
Vendor
sparklabs.com

SparkLabs offers software solutions for network security, specializing in VPN technology. Their key product, Viscosity, is a VPN client for macOS and Windows, enabling secure connections to VPN servers with advanced configurations. SparkLabs focuses on providing secure, reliable VPN services for individuals and businesses, ensuring privacy and security during internet browsing and data transmission.

Vendor site: https://www.sparklabs.com/

Sample adopters

13 hostnames WhisperGraph observed running SparkLabs, a sample of the 14 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 13 SparkLabs adopters, not of all 14 published adopters. A hostname counts once per network.

Related pages

Pivot from SparkLabs into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

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