
Ankit Mehta
@SecvynIndiaTrusted contributorCompletionist
7 followers9,573 downloads10,241 copies160 likes55,549 views
8,655 detections
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This rule detects unusual network connection patterns characterized by a high volume of connections to a remote IP address within a 5-minute window, combined with anomalous connection durations. Specifically, it flags scenarios where there are more than 1000 connections and either the 95th percentile of connection durations is very short (less than 50ms) or the 5th percentile of connection durations is very long (greater than 30000ms). These patterns can indicate activities such as network scanning, denial-of-service attempts, or command and control communication.
This rule detects potential lateral movement activities using `wmic.exe`, `psexec.exe`, or `wmiprvse.exe`. It specifically looks for these executables being run with command-line arguments indicative of remote execution or specific PsExec usage (e.g., containing backslashes for paths, `/accepteula`, or `-s`). The rule then aggregates these events and flags instances where the same process command line is observed multiple times on a device, and there are distinct remote targets involved, suggesting coordinated lateral movement.
This rule detects suspicious GitHub workflow modifications or pushes originating from multiple distinct IP addresses within a short time frame (1 hour). It specifically looks for 'WorkflowCreated', 'WorkflowUpdated', or 'Push' actions on GitHub, and triggers if more than one such event and more than one distinct IP address are observed for a given account within an hour. This could indicate compromised credentials or unauthorized access to a GitHub account being used to manipulate CI/CD pipelines.
This rule detects the issuance of OAuth tokens or OAuth consent events within cloud applications. It specifically looks for these events where the client application is not 'Microsoft Teams' or 'Azure CLI'. The rule summarizes the number of grants and distinct users for each client application and token ID over hourly intervals. This can help identify potentially unauthorized or suspicious OAuth application consents.
This rule detects potential data exfiltration attempts over non-standard network ports. It identifies devices that establish more than 5 network sessions to external (non-private IP) destinations on ports other than common ones like 80 (HTTP), 443 (HTTPS), 21 (FTP), 22 (SSH), 25 (SMTP), 110 (POP3), 143 (IMAP), 993 (IMAPS), and 995 (POP3S) within a one-hour window. This behavior can indicate an adversary attempting to bypass network monitoring by using less common ports for data transfer.
This rule detects unusual network beaconing activity from processes. It identifies processes that make more than 50 network connections within a 15-minute window to distinct remote IP addresses and ports, excluding common legitimate processes like svchost.exe, chrome.exe, msedge.exe, and explorer.exe. The rule then enriches this information with the last seen time of the process.
Detects creation of Intune device management scripts, a potential privilege abuse vector.
This rule detects multiple attempts by a user account to perform a Directory Synchronization (DirSync) operation, which is a common indicator of a DCSync attack. The rule specifically looks for Event ID 4662 with properties containing 'DS-DirSync' or '131072', filters for user accounts, excludes known service accounts, and triggers if there are 5 or more attempts from the same account and computer.
This rule detects the creation of common ransomware ransom note filenames on a device. It triggers when two or more distinct ransom note files are created within a 5-minute window, indicating potential ransomware activity.
Detects the China Chopper web shell spawning CMD from IIS (w3wp.exe) with suspicious command line patterns.
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