avatar

Ankit Mehta

@Secvyn
IndiaTrusted contributorCompletionist
7 followers9,573 downloads10,241 copies160 likes55,549 views

8,655 detections

This rule detects an unusually high number of Windows Management Instrumentation (WMI) process executions (wmic.exe or wmiprvse.exe) on a single device within a one-hour window. A threshold of 10 or more executions per hour is used to flag potential suspicious activity. Adversaries often leverage WMI for various purposes, including reconnaissance, lateral movement, persistence, and execution of malicious commands.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
006
This rule detects when a single caller performs multiple (3 or more) retrievals of Azure Storage Account Keys within a one-hour window. This activity can indicate an attempt to gain unauthorized access to storage resources or exfiltrate data.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects when a single caller successfully updates three or more SQL Server firewall rules within a one-hour window. This behavior could indicate an adversary attempting to open up network access to a SQL database, potentially for data exfiltration, command and control, or further lateral movement.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects two types of suspicious process activity. The first part identifies common Windows processes (svchost.exe, explorer.exe, system.exe, services.exe) executing with command lines that suggest driver loading or manipulation (e.g., containing 'driver', '.sys', 'load', 'unsigned', 'disabled UAC'). It flags instances where such activity occurs frequently (5 or more times) within a short timeframe (2 hours) and involves at least one unique driver file. The second part of the rule detects suspicious process termination attempts where specific legitimate Windows processes (MpCmdRun.exe, MsSense.exe, PsExec.exe, rundll32.exe) are observed attempting to terminate critical system processes (svchost.exe, lsass.exe, csrss.exe) multiple times.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects the creation of specific suspicious files (result.dll, KKN, ND8) in the C:\ProgramData directory, immediately followed by a network connection to known malicious IP addresses. This pattern is indicative of malware dropping and subsequent command and control communication.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
202
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.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects the execution of 'VmwareSampling.exe' with a command line containing 'victimtoolsalla.dll'. This specific combination is indicative of the NIGHTFORGE loader, which often leverages DLL side-loading techniques to execute malicious payloads. The presence of 'victimtoolsalla.dll' suggests an attempt to load a malicious DLL via a legitimate VMware process.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects an unusual frequency of inventory-related commands being executed on a device within a one-hour window. Specifically, it looks for `tasklist.exe`, `wmic.exe`, or `Get-HotFix` being run 5 or more times in an hour. This behavior can indicate an adversary performing system information discovery.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
006
This rule detects devices making a high volume of successful network connections to GitHub's API endpoints (api.github.com or api.releases). A count of 5 or more successful connections within an hour from a single device is considered suspicious and could indicate data exfiltration, automated tooling, or unusual development activity.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
006
This rule detects potential Golden Ticket attacks by looking for multiple successful Kerberos authentication events (EventID 4624) with LogonType 3 (network logon) and a specific TicketEncryptionType (0x17), originating from the same IP address and targeting the same user, within a short timeframe and with a long ticket lifetime. A Golden Ticket attack involves an adversary forging Kerberos Ticket Granting Tickets (TGTs) to gain unauthorized access to resources.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
006
Page 773 of 866