Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

40,063 detections

Detects network communication originating from the 1C:Enterprise server process (rphost.exe) to a specific remote IP address and port associated with potential malicious activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
001
Detects outbound network connections made by 1C Enterprise processes (rmngr.exe or rphost.exe) to non-private/external IP addresses over specific ports (1541, 1570, 1571). These processes typically handle database server management and application host functions within the 1C platform, and direct external communication from them may indicate unauthorized activity or C2 traffic.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
001
Detects the execution of Python scripts named 'exploit.py' or 'exp.py', which are common naming conventions associated with proof-of-concept or exploit code.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
001
This rule detects activities associated with suspicious credential dumping and lateral movement tool usage, specifically targeting 'DumpIt.exe' for memory dumping, 'dokan.exe' for potential driver installation, and the creation of known suspicious files like 'memfix.zip' or 'Server.raw'. These actions are commonly indicative of post-exploitation credential harvesting and preparation for exfiltration.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
001
Detects processes running from user-writable locations (Temp/AppData/Public/Downloads) creating a self-referential Windows Firewall allow rule via netsh, consistent with NJRAT establishing outbound C2 connectivity while evading network-based blocking.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
104
This rule detects potentially malicious process execution chains where VBScript or unknown/suspicious binaries (such as ProfileQuickHost.exe) are used to launch Node.js processes, specifically targeting JavaScript files or VBScript agents. This pattern is often associated with the execution of remote access trojans (RATs) or custom malware loaders.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
2 months ago
000
This rule detects the execution of mshta.exe with a command line referencing an HTA file, followed within 10 minutes by a network connection initiated by mshta.exe to a remote URL containing .js or .xml extensions. This behavior is indicative of mshta.exe being used as a proxy to execute remote malicious payloads, a common technique for fileless malware execution and defense evasion.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
104
Detects the creation of a hidden file named '.Outlook' within the user's AppData Roaming directory. This behavior is atypical for standard Outlook operations and may indicate malicious activity, such as configuration tampering, persistence mechanisms, or data staging by malware.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
304
This rule detects the execution of npm or node.js commands involving specific, potentially malicious package names or internal project naming patterns often associated with dependency confusion or supply chain attacks. It monitors npm/node CLI arguments for targeted library names or installation commands that deviate from standard organizational behavior.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
Detects concurrent creation of a hexadecimal-named folder in the %TEMP% directory and a corresponding registry key in HKCU\SOFTWARE, both named with the same MD5 hash. This specific behavior is a known indicator of Casbaneiro (also known as Metamorfo) banking trojan infection, where the malware uses these locations to stage components and achieve persistence.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
004
Detects network communication with known malicious domains and IP addresses, as well as the presence of known malicious file hashes on the system. The rule correlates network connection events, file creation events, and process creation events against predefined lists of C2 infrastructure and malware indicators.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
This rule detects internal network activity (DNS queries, network connections, and security logs) communicating with domains associated with the GhostCode phishing kit. These domains are typically used to host credential harvesting pages or phishing infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
002
Detects the execution of PowerShell with common obfuscation flags (-W Hidden, -nop, -nol) that attempt to load and execute a script directly from the user's local Temp directory. The detection specifically monitors for processes launched by command interpreters like cmd.exe or batch files, which is a common indicator of a malware dropper or stager.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
104
Detects the execution of PowerShell with common obfuscation flags (-W Hidden, -nop, -nol) that attempt to load and execute a script directly from the user's local Temp directory. The detection specifically monitors for processes launched by command interpreters like cmd.exe or batch files, which is a common indicator of a malware dropper or stager.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
004
Detects the use of PowerShell's 'WriteAllBytes' method to write a file to the user's Local AppData Temp directory, immediately followed by the creation of a known or suspicious executable file in that same location. This pattern is commonly indicative of a stage in a fileless-style malware attack or automated payload delivery.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
004
This rule detects the execution or presence of batch files named 'Invoice Details.bat'. The use of such naming conventions in scripts is often a tactic employed in phishing campaigns to lure users into executing malicious code disguised as business-related documents.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
204
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
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Arnold Chan@slaz
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Hunters
2 months ago
004
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
004
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
104
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
004
Detects network connections originating from browser processes to known JeetBot command and control (C2) infrastructure. The rule identifies suspicious C2 communication and, specifically, attempts at token exfiltration by monitoring for auth tokens in the URL of requests directed to known JeetBot hosts and Twitch-related infrastructure.
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Arnold Chan@slaz
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Hunters
2 months ago
104
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