Detections

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

1,664 detections

Rust-based ransomware family targeting enterprise environments
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Rust-based ransomware family targeting enterprise environments
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Ransomware group exploiting edge devices and managed file transfer software
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Credential and browser data stealer distributed via OXLOADER campaigns
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Ransomware group exploiting edge devices and managed file transfer software
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Credential and browser data stealer distributed via OXLOADER campaigns
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects the creation of directories or files within the '\Temp\' directory that match a specific naming pattern ('RP_' followed by an alphanumeric string). This pattern is often associated with the creation of temporary artifacts by scripts, installers, or malicious payloads.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Open-source derived remote access trojan with plugin architecture
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Commodity .NET keylogger and remote access trojan
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Open-source derived remote access trojan with plugin architecture
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Clipboard hijacking malware for cryptocurrency address substitution
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
macOS malware used by JINX-0164 against cryptocurrency developers
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects the creation of executable files (.exe or .dll) on a removable drive followed by the execution of a process from that same drive within a 30-second window. This behavior is indicative of an adversary using removable media to stage and execute malicious payloads.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects npm package installation activity or network communication originating from npm-related processes that involve identified malicious packages, maintainers, or scopes associated with supply chain attacks. Specifically monitors for the '@withgoogle' scope squatting, as well as specific malicious package names and maintainer accounts, and tracks related outbound network connections to suspicious C2 domains.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects the execution of processes where the image path or parent process path originates from anonymous memory file descriptors ('/memfd:') or file descriptor links ('/proc/self/fd/'). These patterns are frequently associated with fileless malware execution where binaries are executed directly from memory to avoid disk-based detection.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects execution patterns associated with fileless techniques on Linux systems, specifically looking for the usage of the memfd_create system call or referencing /proc/self/fd/ to execute code directly from memory. These methods are frequently used by adversaries to load and run malicious payloads without writing files to disk, bypassing traditional file-based antivirus scanners.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Flags executables whose embedded metadata identifies them as Cloudflared while the filename differs from expected distribution names, suggesting potential evasion through binary renaming.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
101
Detects process execution patterns associated with OceanLotus (APT32) SPECTRALVIPER sideloading chains. The rule identifies suspicious executables by name (masquerading), specific command-line flags ('-uiDll'), execution from known staging directories, or binaries using spoofed vendor metadata with invalid or absent digital signatures.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects the creation or modification of executable files (.exe or .dll) on hidden Windows administrative shares (e.g., ADMIN$, C$, D$, IPC$), followed by the execution of a process with the same file hash on a different host within a one-hour window. This behavior is indicative of lateral movement using SMB shares to stage and execute malicious payloads.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects potentially malicious activity associated with the MetaKit software, including DNS lookups to the 'metakit.fireant.vn' update server and the execution of 'setup.exe' processes spawned by parent processes associated with 'metakit'. This pattern is indicative of potential supply-chain execution or suspicious software update behavior.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
201
This rule detects various indicators of DLL sideloading and process masquerading often associated with threat actor campaigns such as OceanLotus (APT32) and other malicious installers (FireAnt MetaKit). It monitors for specific DLL loads by unsigned or unexpected processes, the execution of masqueraded binaries, and suspicious command-line patterns used to stage malicious payloads.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
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