Ankit Mehta
@SecvynIndiaTrusted contributorCompletionist
7 followers9,573 downloads10,246 copies160 likes55,591 views
8,655 detections
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Detects a high volume of successful network connections to multiple unique cloud storage services (Dropbox, Box.com, OneDrive) from a single device and user account within an hour. This could indicate data exfiltration or unauthorized access to cloud storage.
This rule detects potential device code phishing attempts by correlating URL click events with sign-in logs using the 'deviceCode' authentication protocol. It specifically looks for successful or failed sign-ins (result types 0, 50074, 50076, 500121) that occur after a user clicks on a URL.
This rule detects potential exploit attempts targeting Microsoft Word or Outlook by monitoring process crashes (AccessViolation) initiated by these applications, specifically when the command line indicates the processing of document or email file types (.docx, .eml, .rtf). This could indicate an attempt to exploit a vulnerability in these applications through a specially crafted file.
This rule detects an unusual spike in 'Export' or 'Download' operations within Azure Activity logs by a single caller. It triggers when a user performs 5 or more such operations within an hour, which could indicate data exfiltration attempts or suspicious data access patterns.
Detects suspicious Python process execution that combines network socket creation with memory manipulation imports (ctypes/mmap) or shellcode-like hex byte strings in the command line. This behavior is indicative of in-memory exploit delivery or staging, often used by adversaries to execute malicious code without writing it to disk. The rule also looks for inline Python execution (-c) with similar indicators.
Detects EvilTokens phishing HTML page with AES-GCM encrypted payload by file hash and characteristic code patterns
This rule detects an unusual pattern of multiple login attempts from several unique devices using Windows Hello for Business within a short timeframe (5 minutes) for a single user. This could indicate an MFA bypass attempt or a compromised account where an adversary is attempting to gain access from various devices.
This rule detects multiple access attempts to administrative SMB shares (C$, D$, E$, ADMIN$, IPC$) from a single source IP address within a 5-minute window. This behavior can be indicative of lateral movement, reconnaissance, or ransomware activity attempting to spread across a network by accessing critical shares.
This rule detects repeated failed or successful logon attempts (EventID 4625 or 4624) to sensitive system accounts like 'SYSTEM', 'LOCAL SERVICE', 'NETWORK SERVICE', or 'ADMIN$' from non-system accounts. It specifically looks for interactive (LogonType 10), remote interactive (LogonType 3), or unlock (LogonType 9) logons, and triggers if there are 3 or more such attempts within an hour for the same account and computer.
This rule detects potential password spraying attacks against Microsoft Entra ID (formerly Azure Active Directory). It identifies a high number of failed sign-in attempts from a single source IP address targeting multiple unique user accounts within a short timeframe, specifically looking for 'Invalid password' or 'invalid credentials' failure reasons. The thresholds are set to 20 or more failures and 10 or more unique users within a 5-minute window.
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