Detections

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

1,664 detections

Detects behavior where the ERAAgent process writes a file to disk and executes that same file shortly after (within 5 minutes). This pattern is consistent with staged payload delivery, decompression, or assembly often observed in malicious activity, specifically referencing SLEEPWALKER malware patterns.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
Detects behavior where the ERAAgent process writes a file to disk and executes that same file shortly after (within 5 minutes). This pattern is consistent with staged payload delivery, decompression, or assembly often observed in malicious activity, specifically referencing SLEEPWALKER malware patterns.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
Detection rule for a specific Rust-based Windows x64 backdoor known as C2Looper. The rule uses file hashes, debug strings, hardcoded configuration files/paths, and specific C2 API endpoints to identify the malware presence.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
209
Detects WordlistLoader binaries containing the decode-and-execute routine that reconstructs shellcode via a wordlist mapping or UUID string array, then marks it RWX before invoking the entry point
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Duo Tech@duotech
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Detections.ai Community
2 months ago
106
Detects the creation or renaming of a file named 'pld.exe' within the AppData Local directory. This path is frequently used by malware to masquerade as legitimate applications and establish persistence while avoiding scrutiny.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
307
Detects the creation of .php files within the wp-content/uploads directory tree by common web server or PHP-FPM processes. This behavior is indicative of an adversary attempting to drop a web shell via file upload bypass vulnerabilities, such as those exploiting MIME-type manipulation.
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Ethan Andrews@eandrews
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Federal Signal Detections
2 months ago
519
Detects the presence of the msaRAT MSI dropper (update_ms.msi) and its associated embedded payload (lib.dll), identified by the 'RUN' export and specific msa* string bindings used for inter-process communication or internal functionality.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
003
Identifies core Windows subsystem binaries executing from any location other than System32. Binaries such as lsass.exe, winlogon.exe, services.exe and svchost.exe are never legitimately relocated or bundled by third-party software, so execution from an unexpected path indicates an adversary has placed a renamed or copied payload to blend in with normal process listings.

The detection uses a composite name-and-path key rather than checking either value independently, which catches relocation while permitting the genuine SysWOW64 copy of svchost.exe. Device paths reported by early-boot processes are normalised rather than excluded so that a genuine hit from a device path still fires. Scope is limited to Windows endpoints via DeviceInfo.
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Rory Wagner@Sleuthifer
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Detections.ai Community
3 months ago
1016
Detects the parsing of Mach-O headers for files with specific, potentially anomalous extensions. This is often used to identify masqueraded executables, unsigned binaries, or files with suspicious RPath configurations that may indicate malicious activity.
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Shadows VMB@Vemorian_Mort
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Detections.ai Community
3 months ago
5021
This rule detects potential Bumblebee loader activity by identifying files named 'msimg32.dll' that possess specific known builder file versions and exhibit anomalous, dictionary-derived 'gibberish' entries within their PE version information metadata fields (Comments, CompanyName, or FileDescription).
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
004
Detects BumbleBee loader binaries that utilize the GetSystemDefaultLocaleName API to perform geofencing, intentionally exiting if the system locale matches specific CIS (Commonwealth of Independent States) region strings. This behavior is used by the malware to avoid infection of systems in these regions.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
003
This rule detects the creation of potentially malicious web-accessible files (e.g., .aspx, .ashx, .asmx) within sensitive SharePoint directory paths by the w3wp.exe process. This behavior is indicative of a webshell upload, which is a common persistence mechanism used by adversaries after gaining access to a web server.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
16018
This rule detects the creation of potentially malicious web-accessible files (e.g., .aspx, .ashx, .asmx) within sensitive SharePoint directory paths by the w3wp.exe process. This behavior is indicative of a webshell upload, which is a common persistence mechanism used by adversaries after gaining access to a web server.
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Ankit Mehta@Secvyn
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Detections.ai Community
3 months ago
10210
Detects executables launched by common LOLBins (msiexec, powershell, cmd, wscript, cscript, regsvr32, rundll32)
that are either signed by a non-Microsoft/non-trusted-third-party publisher, or entirely unsigned.
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Montaser Ismail@M0nt3x
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Detections.ai Community
3 months ago
205
Detects the creation of executable script files (PHP, ASP, ASPX, JSP) by web server worker processes (e.g., httpd, nginx, w3wp.exe, php-fpm). This behavior is strongly indicative of the final stage of a web exploitation workflow where an attacker writes a web shell to the server to establish persistence or remote command execution capabilities.
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Ethan Andrews@eandrews
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Federal Signal Detections
3 months ago
6024
This rule detects potentially malicious child processes spawned by LOLBins (Living Off the Land Binaries) like mshta.exe, wscript.exe, cscript.exe, rundll32.exe, or regsvr32.exe, which were themselves initiated by document applications (e.g., Office, Acrobat) or common shell interpreters. It specifically identifies downstream payloads that are either unsigned or signed by non-trusted publishers, filtering out Microsoft and common third-party software signers.
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Montaser Ismail@M0nt3x
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Detections.ai Community
3 months ago
103
This rule detects the execution or presence of known malicious JavaScript loader files identified as part of a banking-lure phishing campaign by matching their SHA256 file hashes.
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Renata Cardoso@rcardososec
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Detections.ai Community
3 months ago
004
Detects the execution of an executable file initiated by npm during the postinstall process. This behavior is often indicative of a software supply chain attack where a malicious package executes code immediately after installation.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
3 months ago
103
Detects the second-stage payload of the ChainDrop/Mini Shai-Hulud npm supply chain worm, specifically targeting GitHub Actions runner environments. The rule identifies obfuscated Bun-bundled CommonJS credential-stealing scripts (math_init.js) designed to harvest secrets from the Runner.Worker process memory and communicate with C2 infrastructure via EtherHiding Ethereum contract interaction.
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Jeff Daisley@JDaisley
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Detections.ai Community
3 months ago
2013
Detects the execution of msiexec.exe to install ScreenConnect.ClientSetup.msi when initiated from user-controlled directories like Downloads or Temp folders. This behavior is indicative of potential social engineering or phishing attacks leveraging legitimate remote access software installers.
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Ethan Andrews@eandrews
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Federal Signal Detections
3 months ago
9016
This rule detects two potentially malicious behaviors: 1) The creation or installation of a Windows service using the 'Cloudflared' executable, which can be leveraged for unauthorized tunneling or persistence. 2) The execution of an executable named 'svchost.exe' located within a user's Documents folder, which is a common indicator of file masquerading to evade detection.
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Ankit Mehta@Secvyn
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Detections.ai Community
3 months ago
309
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