Arnold Chan
@slazTrusted contributorCompletionist
2 followers2,099 downloads4,376 copies51 likes26,099 views
7,555 detections
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Detects invisible/non-printing Unicode codepoints (zero-width chars, bidi overrides, variation selectors, Unicode tag characters, and Private Use Area icon-font codepoints) embedded in process command lines - covering both classic command/script obfuscation and the emerging use of hidden codepoints to smuggle AI prompt-injection payloads into content later processed by AI copilots/agents. Tightened to require 2+ high-confidence codepoint hits (or 1 from a known scripting host/LOLBin), and gates Private-Use-Area-only matches (a common legitimate icon-font false-positive source) to scripting hosts with 5+ hits, maps to T1027.018.
Detects invisible/non-printing Unicode codepoints (zero-width chars, bidi overrides, variation selectors, Unicode tag characters, and Private Use Area icon-font codepoints) embedded in process command lines - covering both classic command/script obfuscation and the emerging use of hidden codepoints to smuggle AI prompt-injection payloads into content later processed by AI copilots/agents. Tightened to require 2+ high-confidence codepoint hits (or 1 from a known scripting host/LOLBin), and gates Private-Use-Area-only matches (a common legitimate icon-font false-positive source) to scripting hosts with 5+ hits, maps to T1027.018.
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 GitHub repository actions (git.clone, oauth_authorization.create, repo.download_zip) from actor IPs not seen for that user in the prior 30 days, requiring either 3+ actions or activity across 2+ distinct repositories from the new IP within the same day. Aggregating to burst/multi-repo behavior (rather than alerting on a single new-IP event) filters out one-off false positives from travel, VPNs, or dynamic IP reassignment while still surfacing sustained anomalous access patterns consistent with account compromise or bulk exfiltration.
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.
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.
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.
This rule monitors for activity associated with specific known malicious file names (killer.exe, kill.exe) and network connections to a set of identified malicious IP addresses. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential communication or presence of these malicious artifacts.
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