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Ankit Mehta

@Secvyn
IndiaTrusted contributorCompletionist
7 followers9,573 downloads10,241 copies160 likes55,537 views

8,655 detections

Detects excessive outbound connections to ports commonly targeted by C0XMO during propagation and victim discovery. The rule identifies systems communicating with numerous unique hosts within a short period, which may indicate automated scanning or worm-like behavior.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
3014
Detects PowerShell queries for motherboard serial numbers or UUIDs, behaviors commonly associated with malware reconnaissance and sandbox evasion. This rule specifically looks for 'powershell.exe' executing commands that query 'Win32_BaseBoard' or 'Win32_ComputerSystemProduct' and contain 'SerialNumber' or 'UUID'.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
408
Detects excessive caret (^) escaping in command lines, a common obfuscation technique used by attackers to evade detection and conceal malicious commands. The rule specifically looks for command-line executions by cmd.exe, powershell.exe, or pwsh.exe that contain more than 5 caret characters and a pattern of at least three alphanumeric characters immediately followed by a caret.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
208
Detects the creation of scheduled tasks that use `schtasks.exe` to execute `rundll32.exe`. This is a common technique used by attackers for persistence and to execute malicious DLLs, often to bypass application whitelisting or other security controls.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
208
Detects creation of Intune device management scripts, a potential privilege abuse vector.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
2010
This rule detects potential information disclosure attempts by monitoring W3C IIS logs for repeated queries containing keywords like 'version', 'build', or 'debug'. A high frequency (5 or more attempts within an hour) from a single IP address suggests an adversary is trying to enumerate software versions or debug information, which can be used for further reconnaissance or exploit development.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
103
This rule detects a high volume of web requests (20 or more within 5 minutes from a single IP address) containing keywords commonly associated with denial-of-service (DoS) attacks, performance testing, or reconnaissance activities against web applications. Keywords include 'sleep', 'benchmark', and 'loadtest' in the URI query string.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
This rule detects processes making a high volume of successful network connections (3 or more within an hour) to domains containing 'codeartifact' or 'artifactory'. This behavior could indicate an attempt to download tools, libraries, or other artifacts, potentially as part of an ingress tool transfer or supply chain attack.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
Detects repeated 'git clone' or 'git fetch' commands executed on a system within a short timeframe. This activity could indicate an adversary attempting to exfiltrate data from a code repository or staging environment, or rapidly pull down multiple repositories.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects a high volume of network connections (10 or more within an hour) from a single process to remote URLs containing 'artifact' or 'maven' on standard HTTP (port 80) or HTTPS (port 443) ports. This activity could indicate legitimate software development or build processes, but also potentially malicious activities such as supply chain compromise, data staging, or exfiltration of development-related artifacts.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
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