Ibrahim Saud
@tektrixIndiaCompletionist
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11,679 detections
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Detects runtime processes associated with AI agents or scripting environments (e.g., python, node, deno) accessing sensitive credential storage paths and files, such as SSH keys, cloud provider configuration directories, and local environment variables, which may indicate credential exfiltration.
Detects potentially malicious use of rundll32.exe by monitoring for execution from suspicious directory paths (e.g., Temp, AppData, Downloads), execution with arguments missing common legitimate entry points, unexpected network connections originating from rundll32.exe, or rundll32.exe spawning child processes (excluding known safe binaries like conhost.exe or werfault.exe).
Detects modifications to core NetScaler startup configuration files 'ns.conf' or 'rc.netscaler'. Attackers often target these files after initial access to establish persistence by injecting malicious commands, rewrite, or responder policies to maintain access to the appliance.
This rule detects potentially malicious reuse of an existing Entra ID (Azure AD) refresh or session token (via UniqueTokenIdentifier) across multiple, distinct device IDs, IP addresses, or user-agent strings within a short period (default 4 hours). It specifically flags instances where the authentication was completed via a non-interactive token claim, suggesting the adversary is bypassing MFA by hijacking an active session.
Detects instances where a process that is not a recognized web browser (chrome, msedge, firefox, brave, opera, or explorer) accesses multiple unique browser cookie files. This is a common pattern for credential harvesting malware attempting to steal browser sessions.
This rule detects potential Browser-in-the-Browser (BitB) phishing attacks by identifying suspicious browser pop-up behavior (using window.open flags, hidden address/toolbars) on non-identity-provider domains, followed shortly by credential submission patterns on the same device. This pattern mimics legitimate OAuth or SSO windows to harvest user credentials.
Detects unauthorized process activity that reads, copies, archives, or transmits the NetScaler ns.conf configuration file. This file contains highly sensitive information, including AAA/LDAP bind credentials and certificates. Adversaries may stage or exfiltrate this file following the exploitation of vulnerabilities (such as CVE-2026-88771 or CVE-2026-88772) on NetScaler appliances to facilitate further network compromise.
This rule detects potential post-exploitation activity on a NetScaler appliance where a crontab modification occurs within a short window (1 hour) following suspicious syslog entries indicative of oversized-parameter buffer overflow exploitation attempts (CVE-2026-88771/CVE-2026-88772).
Detects instances where an identity associated with AI or automated agents (service accounts, service principals, bots, or assistants) is assigned to highly privileged administrative roles or security groups in the directory. This behavior potentially indicates an attempt to escalate privileges using a compromised or improperly configured agent identity.
Detects potential Cobalt Strike or Sliver command and control (C2) beaconing behavior by analyzing network proxy, firewall, and flow logs for common C2 URI patterns, known malicious JA3/JA3S TLS fingerprints, and consistent periodic communication intervals (low jitter) characteristic of automated beacons.
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