
Arnold Chan
@slazTrusted contributorCompletionist
2 followers2,100 downloads4,384 copies51 likes26,172 views
7,555 detections
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This rule detects anomalous, high-volume activity from a single user account interacting with known public generative AI platforms (e.g., ChatGPT, Copilot, Claude). It uses a threshold-based approach on CloudAppEvents logs to identify potential reconnaissance or bulk information gathering activities which could signify unauthorized use or automated data scraping via AI interfaces.
Detects instances where a single user account exhibits an anomalously high frequency of requests to public generative-AI platforms within a one-hour window, potentially indicating automated reconnaissance or data staging activities using AI tools.
Detects instances where a single user account exhibits an anomalously high frequency of requests to public generative-AI platforms within a one-hour window, potentially indicating automated reconnaissance or data staging activities using AI tools.
This rule detects the execution or presence of specific Go or Terraform modules known to be malicious or associated with suspicious dependency retrieval. It monitors command-line activity from terraform.exe/go.exe attempting to download/run from these paths, as well as file system events involving these specific folder paths and filenames.
This rule detects the execution or presence of specific Go or Terraform modules known to be malicious or associated with suspicious dependency retrieval. It monitors command-line activity from terraform.exe/go.exe attempting to download/run from these paths, as well as file system events involving these specific folder paths and filenames.
This rule detects the execution or presence of specific Go or Terraform modules known to be malicious or associated with suspicious dependency retrieval. It monitors command-line activity from terraform.exe/go.exe attempting to download/run from these paths, as well as file system events involving these specific folder paths and filenames.
This rule detects the execution or presence of specific Go or Terraform modules known to be malicious or associated with suspicious dependency retrieval. It monitors command-line activity from terraform.exe/go.exe attempting to download/run from these paths, as well as file system events involving these specific folder paths and filenames.
This rule detects potential malicious activity by correlating device events against a known set of malicious file hashes, domains, and URLs. It identifies files with known malicious hashes, network connections to known malicious domains, and command-line processes attempting to download files from known malicious URLs using common living-off-the-land tools like PowerShell, curl, or wget.
Detects the creation of scheduled tasks using schtasks.exe or PowerShell that reference specific task names associated with potentially suspicious activity or persistence (e.g., PlutonAgentScheduler, EnterpriseMgmtServicesScheduler). The rule specifically looks for tasks being placed or modified within 'microsoft' or 'pluton' directories or paths, which may indicate an attempt to masquerade as legitimate system services.
IOC sweep against network telemetry for confirmed BengalSEO/MayaBot campaign infrastructure: the Hostmaza backend IP (5.101.140.80), Matomo tracking domains (stats.us3.org, us3.my), named MayaBot C2 domains (cus.cam, dll.lat, us99.org), and the ~170-domain Traffic Distribution System redirector fleet used to funnel victims to payload delivery. The source intel report contains no file hashes (MD5/SHA1/SHA256) -- only IPs, domains, and URLs -- so this sweep is IP/domain-only. Note the much larger corpus of single-use lure-page domains (~1,000 additional indicators) is excluded as too high-churn for static embedding.
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