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157.230.81.78 has a very high threat confidence level of 97%, originating from North Bergen, United States, on the DigitalOcean, LLC network (14061). It has been observed across 386 sessions targeting REDIS, POSTGRES, ELASTICSEARCH, MONGODB, MSSQL, First observed on February 21, 2026, most recently active February 23, 2026.
Identifies Redis service discovery and basic environment enumeration where an actor probes with invalid commands, validates availability using PING, retrieves server metadata via INFO (case variations), and gracefully exits with QUIT. This pattern is commonly used to fingerprint exposed Redis instances before exploitation.
Identifies an automated Redis service probing sequence consisting of PING, INFO (uppercase invocation), execution of a deliberately nonexistent command to assess error handling behavior, and QUIT. This tightly grouped pattern reflects reconnaissance and fingerprinting activity used by scanners and exploitation frameworks to determine Redis version, configuration details, and command availability prior to follow-on exploitation attempts. The inclusion of a nonexistent command indicates capability probing rather than normal client interaction.
Client first performs a generic request to the Elasticsearch root endpoint to verify service availability, then proceeds to request /_cat/indices. This sequence reflects staged Elasticsearch reconnaissance where the actor validates that the cluster is reachable before attempting index enumeration and data exposure assessment. Compared to direct index enumeration behaviors, the interaction begins with a service-validation step, suggesting adaptive probing rather than immediate Elasticsearch-specific targeting.
Client performs a direct request to the Elasticsearch /_cat/indices endpoint and retrieves a successful response without preceding generic web discovery or multi-protocol probing. This behavior indicates targeted Elasticsearch reconnaissance focused on enumerating available indices, document counts, and storage size to assess data exposure. Unlike broad internet scanners, the interaction is Elasticsearch-aware from the start, suggesting tooling or operators specifically searching for open clusters rather than conducting general service fingerprinting.