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@pyth0n1c pyth0n1c released this 10 Sep 14:51
4cd62e8

πŸš€ Key Highlights

🌐 Suspicious Network and Shell Activity 🌐

Introduced new analytics for browser-spawned Unix shells with external connections, uncommon and rare network connections from LOLBAS binaries, and suspicious Socat listener and remote TCP activity. This coverage helps defenders identify potential command execution, network tunneling, proxying, and command-and-control behavior originating from browsers or trusted system utilities.

🍎 macOS AppleScript and User Interaction 🍎

Added two macOS analytics covering AppleScript shell execution and compilation, as well as suspicious user prompts displayed through osascript. These detections improve visibility into script-based execution and potentially deceptive user interaction used to facilitate malicious activity on macOS endpoints.

πŸͺŸ Windows Account and Browser Activity πŸͺŸ

Expanded Windows coverage with detections for changes to built-in account names and execution of content copied from a browser. These analytics help identify account manipulation and suspicious execution workflows that may involve commands or payloads copied from web content.

🧩 SCCM Abuse Detection 🧩

Introduced two analytics focused on suspicious SCCM activity: DLL planting in the SMS Provider directory and abnormal child-process execution spawned by smsexec. This provides stronger visibility into potential abuse of SCCM components for execution, persistence, or lateral movement.

πŸ”§ Cross-Platform Detection Refinements πŸ”§

Updated 18 analytics across Citrix, Windows, Linux, and macOS environments. The refinements improve coverage and detection fidelity for Citrix ADC exploitation, pipe-based execution, file and process activity, data destruction, Ghostscript exploitation, account creation, data chunking, network discovery, PowerShell, event-log manipulation, user and private-key discovery, credential access, and execution from suspicious paths.

πŸ—‚οΈ Detection and AI Risk Classification πŸ—‚οΈ

Together with NIST AI RMF Control Coverage dashboard, we’ve added the detection_subcategory_map and nist_ai_rmf_subcategories lookups to improve analytic categorization, detection metadata, and alignment with NIST AI Risk Management Framework subcategories.

New Analytics - [12]

Updated Analytics - [18]

Other updates

  • A new NIST AI RMF Control Coverage dashboard, available in alpha, maps AI-related ESCU detections and activity to the framework's Govern, Map, Measure, and Manage functions. This helps security teams identify coverage gaps and turn technical telemetry into clearer risk and governance insights.
  • A special thanks to @thegreatmhn and @munzzyy from the Security Content community for reporting bugs and proposing fixes that improved the quality and reliability of the security content.

Content Scheduled for Removal in Future Releases

Content Content Type Removed in Version Reason Replacement Content
LOLBAS With Network Traffic Detection 6.8.0 Detection deprecated due to high false positive rates from certain LOLBAS binaries with common legitimate network behavior. This broad analytic is being split into more manageable anomaly analytics with separate process groups and common-port tuning. LOLBAS Network Connection On Uncommon Port, LOLBAS Rare Network Connection
Linux Adding Crontab Using List Parameter Detection 6.8.0 Detection deprecated as its name and description are not matching the behavior of the search. The search is looking for crontab command with list parameter, not adding a new cron job. Linux Crontab Enumeration