Detections

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

1,664 detections

This rule detects the presence of the GodDamn ransomware encryptor on a host by identifying the specific binary filename (encrypter-windows-gui-x86.exe), its known SHA256 hash, or the presence of the .God8Damn file extension commonly associated with files encrypted by this malware.
Aaron etr@sertg
avatar
Detections.ai Community
4 months ago
0011
Detects the execution of rundll32.exe with specific suspicious DLLs (drx_curator.dll, etwhost.dll) and specific function names or paths. This pattern is indicative of potential malicious activity where legitimate binaries are leveraged to execute code, often associated with modular loaders or malicious payloads.
avatar
Duo Tech@duotech
avatar
Detections.ai Community
3 months ago
101
Detects instances where a process named 'svchost.exe' is executed from common temporary file paths, which is characteristic of malware attempting to masquerade as the legitimate Windows Service Host process.
avatar
Duo Tech@duotech
avatar
Detections.ai Community
4 months ago
608
Detects the execution of the legitimate AnyDesk remote access tool when it is launched from a non-standard file path containing '\music\', which may indicate an attempt to hide the executable in a less suspicious directory.
Aaron etr@sertg
avatar
Detections.ai Community
4 months ago
408
This YARA rule detects the SugarWraith loader, a malware component identified by the presence of specific diagnostic strings, system enumeration artifacts, and indicators of persistence or configuration related to tunnel bypass tools like ngrok. It specifically targets Windows-based binaries that exhibit characteristics associated with the UNK_SweetSpector threat activity.
100daysofyara 2025@100daysyara2025
avatar
100 Days of YARA 2025
3 months ago
001
This YARA rule detects the presence of Suterusu rootkit source code artifacts, specifically targeting header files, function names, and print strings used for rootkit operations such as process/file/port hiding and module loading manipulation.
100daysofyara 2025@100daysyara2025
avatar
100 Days of YARA 2025
3 months ago
001
Detects a malicious binary masquerading as a Symantec executable (symantec.exe) staged in the user's Music directory. The rule triggers on a known file hash or the combination of the specific filename and file path, indicative of a dropper attempting to install the PoisonX kernel driver.
Aaron etr@sertg
avatar
Detections.ai Community
4 months ago
007
Detects self-narrating LLM-generated ransomware payload artifacts referencing ransom infrastructure and encryption routines (JadePuffer)
avatar
Duo Tech@duotech
avatar
Detections.ai Community
4 months ago
308
Detects the execution of specific suspicious filenames ('YEPlayer.exe', 'Pis2rayVPN.msi', 'YEMPlayer.msi') or command-line references to these files, combined with correlated network activity to specific suspicious domains associated with masqueraded 'microsoft.comi-site.website' URLs.
avatar
Duo Tech@duotech
avatar
Detections.ai Community
4 months ago
508
This YARA rule suite is designed to detect the Qbit Stealer malware and associated development artifacts. It uses specific string matches indicative of the stealer's configuration, logging, and functionality (such as file archiving and exfiltration) alongside development indicators like developer contact information and project metadata.
100daysofyara 2025@100daysyara2025
avatar
100 Days of YARA 2025
3 months ago
000
These YARA rules detect the presence of compiled executables written in Rust, Golang, or Nim by matching specific language-related artifacts, such as compiler-generated metadata, runtime library paths, or symbol patterns within Windows PE or Linux ELF binaries.
100daysofyara 2025@100daysyara2025
avatar
100 Days of YARA 2025
3 months ago
000
This YARA rule detects malicious PE executable files that masquerade as PDF documents by embedding known PDF-related icons within their resource section. It inspects the PE file header and calculates the SHA256 hash of the first resource, matching it against a list of hashes corresponding to legitimate PDF icons.
100daysofyara 2025@100daysyara2025
avatar
100 Days of YARA 2025
3 months ago
000
Matches known Umbrij ConfuserEx-obfuscated .NET malicious DLL samples across three tool versions by full-file MD5 hash
avatar
Duo Tech@duotech
avatar
Detections.ai Community
4 months ago
006
Detects the creation or presence of a file named 'svehost.exe' (a common typo-squat for 'svchost.exe') within the 'C:\Users\Public\AppData\Windows' directory. This behavior is indicative of an adversary attempting to masquerade a malicious executable by mimicking a legitimate Windows service process name and placing it in a non-standard, often-abused location.
avatar
Duo Tech@duotech
avatar
Detections.ai Community
4 months ago
304
Detects the creation or modification of Windows Registry Run/RunOnce keys that point to executable files located in suspicious directories, specifically 'AppData' or 'Temp'. This behavior is a common persistence technique used by malware and adversaries to ensure malicious binaries execute upon user logon.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
4011
Detects DLL search order hijacking of legitimate Windows binaries consent.exe or icardagt.exe. The rule triggers when these binaries are executed from non-standard, user-writable directories (e.g., %TEMP%, %APPDATA%), which is a common technique used by the BumbleBee malware loader to sideload a malicious msimg32.dll.
avatar
Georgios Maragos@Gmarak
avatar
Detections.ai Community
4 months ago
7021
This rule monitors for the execution of known software utilities often used by adversaries to disable security controls, remove system locks on files, or tamper with security configurations. Specifically, it flags the usage of IObit Unlocker, Gmer (a known rootkit/tampering tool), and Defender Control (used to disable Windows Defender).
Aaron etr@sertg
avatar
Detections.ai Community
4 months ago
002
Detects the creation of DLL files in suspicious locations (AppData, Temp, ProgramData, Users\Public, Downloads) that are initiated by specific processes commonly associated with software that might be vulnerable to DLL side-loading, such as Microsoft, Citrix, VMware, or Fortinet binaries, when those processes are executing from outside standard protected directories.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
9112
Detects the trojanized uxtheme.dll (Cavern Agent) dropped to a non-standard path and side-loaded via WinDirStat.exe
avatar
Duo Tech@duotech
avatar
Detections.ai Community
4 months ago
304
Detects the presence of HijackLoader/IDAT Loader payloads disguised as non-PNG files. The rule identifies files containing concatenated PNG IDAT chunks that do not start with a valid PNG magic header, followed by a canonical IEND terminator, characteristic of steganographic data storage used to deploy the HijackLoader toolkit.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
009
Detects the execution of executable files from user-specific directories (Downloads, Desktop, Temp) that match common naming patterns associated with illicit software, such as cracks, keygens, or pirated tools. This is often an indicator of users attempting to run unauthorized software, which may carry secondary malware.
avatar
Duo Tech@duotech
avatar
Detections.ai Community
4 months ago
5011
Page 56 of 80