Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,458 downloads7,067 copies47 likes38,452 views
11,679 detections
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Detects modifications to payroll direct deposit or payment election settings within Workday. This activity is a common indicator of payroll fraud or Business Email Compromise (BEC), where an attacker gains access to an employee's Workday account to redirect salary payments to an unauthorized bank account.
Detects Microsoft Graph API requests targeting user information endpoints (/v1.0/users or /v1.0/me) using specific search filters associated with payroll or human resources and identified by the Axios HTTP client User-Agent string. This pattern is consistent with reconnaissance activities.
Detects internal spearphishing emails containing subjects and body text commonly associated with payroll fraud, specifically attempts to solicit changes to employee direct deposit accounts by requesting voided checks or information about upcoming payments.
Detects the creation or modification of inbox rules in Microsoft 365 that filter messages containing financial keywords (e.g., 'direct deposit', 'bank') and perform actions designed to hide or suppress these emails (e.g., 'MoveToFolder', 'DeleteMessage', 'MarkAsRead', 'StopProcessingRules'). This behavior is commonly used by adversaries to hide notification emails regarding financial transactions, which could alert the user to unauthorized activity.
Detects M365 administrative actions related to mailbox forwarding rules or OAuth application consent that occur in the absence of a Multi-Factor Authentication (MFA) claim, particularly when preceded by non-interactive session events (LogonType 0) using REST client protocols. This pattern is indicative of potential session hijacking or token replay attacks, where an adversary leverages a compromised session to establish persistence or gain ongoing access to the environment without re-authenticating.
Detects the delivery of a fake 'slide-to-verify' CAPTCHA page commonly used by Mirage2FA phishing kits. These pages are designed to trick users or automated analysis tools into interacting with the site before the final AiTM (Adversary-in-the-Middle) phishing proxy is served.
Detects the use of a malicious 'borlndmm.dll' file intended for DLL side-loading to deploy the OnyxC2 stealer payload. The rule identifies files masquerading as NVIDIA graphics libraries or Borland memory managers that contain embedded encrypted payloads, matching known indicators for OnyxC2 activity.
Detects OnyxC2 RunPE injection behavior where a process drops or loads a suspicious sideloaded DLL (specifically borlndmm.dll) and immediately initiates a secondary process instance, indicative of process hollowing or memory unpacking of a malicious payload.
Detects network activity associated with the OnyxC2 malware, including DNS queries to .top TLDs for beaconing, subsequent HTTP check-ins to .top domains, and known TLS SNI matches for OnyxC2 C2 infrastructure.
Detects the specific behavior associated with the OnyxC2 C2 framework where a process re-spawns a child instance of itself, followed by a rapid registry modification by that child process. This pattern serves as a marker for the ONYXC2 loader configuration stage.
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