Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,457 downloads7,048 copies47 likes38,289 views
11,679 detections
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Detects anomalous high-volume API querying patterns against an AI model, characterized by an abnormally high number of distinct input hashes and query frequency compared to the population baseline for that model. This pattern is consistent with model extraction or stealing attacks aimed at reconstructing a proxy model.
This rule detects various methods used by adversaries to perform credential dumping from the Local Security Authority Subsystem Service (LSASS) process. It monitors for direct process access with suspicious handle permissions, the use of comsvcs.dll via rundll32.exe for MiniDump creation, the execution of memory dumping tools like procdump, and the creation of LSASS memory dump files by Task Manager.
This rule detects PowerShell processes initiated with command-line arguments that indicate obfuscation (e.g., -enc, -encodedCommand) or attempts to download or execute external content (e.g., IEX, Net.WebClient, Invoke-WebRequest). This pattern is commonly observed during the initial execution of malicious payloads or tool delivery.
Detects suspicious PowerShell process creation patterns often associated with malicious activity. The rule identifies PowerShell execution invoked by common parent processes (like Office applications or scripting engines) or using highly suspicious command-line arguments such as encoded commands, hidden windows, or common download and execution patterns (e.g., IEX, WebClient).
This rule detects evidence of remote service installation and execution, commonly associated with tools like PsExec, PaExec, and RemCom, or the direct use of Windows administrative shares (ADMIN$, C$) to execute binaries remotely. The rule monitors for process creation events involving known service binary names, service creation attempts, or the execution of binaries staged in administrative network shares.
Detects successful authentication attempts by the same user account from two different geographic locations within a timeframe that is physically impossible to travel between. This detection often highlights compromised accounts or session token theft, including scenarios where MFA mechanisms have been bypassed.
Detects unauthorized modifications to the .ssh/authorized_keys file. Such changes are often performed by adversaries to establish persistence by ensuring their own public keys allow them remote access to the host. The rule filters out known configuration management and system tools to reduce noise.
Detects Active Directory Certificate Services (AD CS) enrollment events (4886/4887) where a request includes an enrollee-supplied Subject Alternative Name (SAN). This behavior is characteristic of ESC1 certificate template abuse (e.g., using tools like Certipy or Certify) to request certificates that impersonate other users or machine accounts.
This rule detects potential container escape and privilege escalation attempts within a Kubernetes environment by monitoring for the creation of privileged pods, dangerous host mounts (such as /var/run/docker.sock or hostPath root mounts), and the use of escape-oriented utilities like nsenter or chroot, or access to the host's filesystem via /proc/1/root.
Detects anomalous lateral movement via Remote Desktop Protocol (RDP) by identifying three high-risk patterns: rapid RDP fan-out to multiple destination hosts from a single account, RDP access to sensitive servers from unauthorized source hosts, and RDP sessions followed by the execution of known post-exploitation or credential-theft tooling on the destination host.
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