
Ibrahim Saud
@tektrixIndiaCompletionist
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11,679 detections
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Detects execution of PowerShell commands that attempt to bypass the Antimalware Scan Interface (AMSI) by dynamically creating methods using System.Reflection.Emit. It looks for specific keywords associated with reflection-based AMSI tampering, such as creating dynamic methods, accessing internal IL generators, and explicitly targeting AMSI-related memory structures like amsiContext or s_amsiInitFailed.
This rule detects potential malicious activity involving PowerShell by correlating signs of an Antimalware Scan Interface (AMSI) bypass attempt with an subsequent network connection to an external, non-standard port. The rule monitors for common command-line patterns used to disable or impair AMSI functionality within PowerShell processes, followed by suspicious outbound network traffic from the same process within a five-minute window.
Detects the spawning of unexpected child processes such as shell interpreters, download tools, or package managers from vLLM Python serving processes. This activity could indicate a successful exploitation of a vulnerability like CVE-2026-22778, leading to remote code execution through a function pointer overwrite.
Detects ROPC (Resource Owner Password Credentials) token requests to Microsoft Graph using specific client IDs associated with Microsoft To-Do or Intune Company Portal. This activity could indicate an attempt to bypass MFA via hidden Conditional Access policy exclusions, as described in CVE-2025-0309.
Detects the execution of suspicious files that exhibit characteristics of finance-themed malware droppers. This includes files with known malicious MD5 hashes, specific internal file metadata (original filename, file description, product name), or filenames masquerading as financial documents (e.g., 'GST Debit Note', 'RTGS_IMPS') with an executable extension like '.com'.
Detects the Chromelevator loader, identified as 'drun.exe', performing reflective DLL injection of 'payload.dll' using direct syscalls (NtAllocateVirtualMemory, NtCreateThreadEx) and inter-process communication (IPC) via a named pipe ('__DLL_PIPE_COMPLETION_SIGNAL__'). The rule looks for process creation, remote thread creation, memory protection modifications, file creation/modification of 'payload.dll', and specific named pipe events associated with 'drun.exe'.
This rule detects the deployment and activity associated with the TrueSightKiller rootkit, potentially used by threat actors like SilverFox. It identifies several key indicators: the loading of 'truesight.sys' from non-standard directories, the creation of a staging file named 'ranchserv.jpg' in the Windows Temp directory by non-system processes, the presence of the 'truesight.sys' driver based on its known SHA256 hash, and the termination of security products shortly after the creation of TrueSightKiller-related artifacts.
This rule detects the creation of Temporary Access Passes (TAPs) via the Microsoft Graph API targeting highly privileged accounts. This activity could indicate an attacker abusing a service principal with UserAuthMethod-TAP.ReadWrite.All permissions to gain temporary access to critical accounts like Global Administrators, Privileged Role Administrators, or Security Administrators. The rule specifically looks for POST requests to the 'temporaryAccessPassMethods' endpoint in Microsoft Graph Activity Logs and correlates this with IdentityInfo to identify if the target user holds a privileged role.
This rule uses regular expressions to identify distinct URL structures associated with the Tycoon2FA AiTM (Adversary-in-the-Middle) phishing kit. Specifically, it looks for URIs containing patterns like "?auth=" followed by a base64-encoded string or "/login?email=" followed by a base64-encoded string, which are indicative of the kit's operation to capture credentials or session tokens.
This rule detects anomalous sign-in attempts to VPN or SSO services by identifying deviations from a user's established baseline of device and location combinations. It flags sign-ins where there are at least two anomalies (new country, new ASN, new device ID, new user agent), or specific critical combinations like a new country and new device, or an unmanaged device signing in from a new country or ASN. This pattern is consistent with adversaries using stolen credentials, potentially from infostealer logs, to access enterprise resources.
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