Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
684 detections
Filters
Last updated
All Time
Detection languages
430
131
28
27
26
Contributors
418
94
69
25
21
Categories
20,439
11,829
5,873
5,151
4,864
684
Platforms
653
44
16
10
5
Products / Services
105
89
33
22
13
MITRE Techniques
580
574
171
157
131
CVEs
1
1
IDS Classtypes
1
IDS Protocols
1
This rule detects potential ransomware activity by monitoring for a high volume (more than 10) of file creation or renaming events within a short timeframe (30 minutes) initiated by a process named 'htspnew.exe'. It excludes common system and temporary directories to reduce noise, focusing on suspicious file modifications that might indicate bulk encryption or mass file manipulation.
This rule detects potential ransomware activity by monitoring for a high volume (more than 10) of file creation or renaming events within a short timeframe (30 minutes) initiated by a process named 'htspnew.exe'. It excludes common system and temporary directories to reduce noise, focusing on suspicious file modifications that might indicate bulk encryption or mass file manipulation.
This rule detects potential ransomware activity by monitoring for a high volume (more than 10) of file creation or renaming events within a short timeframe (30 minutes) initiated by a process named 'htspnew.exe'. It excludes common system and temporary directories to reduce noise, focusing on suspicious file modifications that might indicate bulk encryption or mass file manipulation.
Detects files containing specific structural footers (537 bytes) and RSA key generation strings commonly associated with ransomware encryption. The footer indicates the use of RSA-4096 to encrypt files, with modes for full, striped, or header-only encryption patterns.
Detects mass file renaming activity associated with OpnKey ransomware, which appends specific ransom identifiers to files. This behavior is indicative of the encryption phase of a ransomware attack, where files are renamed to reflect the encryption status or to include a unique victim identifier.
This rule monitors for potential suspicious database operations executed via MySQL command-line utilities. It specifically detects the use of the AES_ENCRYPT function in conjunction with UPDATE statements, which is a technique often used by ransomware to encrypt database tables or data.
Detects a sequence of activity involving the use of the MySQL 'AES_ENCRYPT' function followed by a 'DROP TABLE', 'DROP SCHEMA', or 'DROP DATABASE' command on the same host within a 30-minute window. This behavior is consistent with extortion tactics, such as the JADEPUFFER campaign, where attackers encrypt sensitive database records and delete the original tables to compel ransom payments.
Detects potential database ransomware activity by correlating the usage of AES_ENCRYPT for record modification, followed by the dropping of tables and the insertion of ransom notes containing specific contact keywords (e.g., bitcoin, proton mail) within database queries or system logs.
Detects file and process activity associated with the Hermes ransomware, specifically targeting the presence of 'SOUL.md' files, '.hermes' file paths, and the 'HERMES_DISABLE_SAFETY=1' command-line argument.
This rule detects potential ransomware activity by correlating three distinct events: the execution of a suspicious, potentially obfuscated binary (matching a specific naming pattern of _win64.exe) from an untrusted location (e.g., Temp, AppData, Downloads), followed by a high volume of file modifications or renames with specific ransomware-related extensions (.locked), and the dropping of a known ransom note file (RESTORE_FILES.txt) within a short 15-minute time window.
This rule detects the execution of the HTSPnew.Exe ransomware payload, associated with a trojanized HTS DLL, and subsequent ransomware-related file operations, such as the creation of .krsid encrypted files and the dropping of a Korean-language ransom note (README_KRSID.Txt).
This rule detects potential ransomware activity by monitoring for specific file naming patterns associated with known ransom notes (.krsid, README_KRSID.Txt) and the execution of suspicious processes (HTSPnew.Exe, UBPUpdater.exe).
Detects a suspicious correlation where a host reports a confirmed exploit attempt followed by a high volume of file modifications (encryption behavior) within a single hour. This short dwell time is a strong indicator of automated or AI-orchestrated ransomware deployments.
Detects the presence of OpnKey ransomware-specific configuration strings related to size-tiered file encryption settings in process command lines. These indicators suggest the execution of a binary with hardcoded logic to categorize files for encryption based on their size.
Detects the creation of files with specific extensions (.locked, .locked_wip) or filenames (RESTORE_FILES.txt) commonly associated with ransomware operations and ransom notes.
Detects high-frequency file creation, modification, or renaming activity involving files with the specific '.df_win' extension, likely indicative of mass encryption activity or automated ransomware behavior. The rule excludes known backup and security software processes to reduce noise.
Detects potential database-native ransomware activity by identifying the use of MySQL encryption functions (AES_ENCRYPT) to encrypt records followed by the execution of DROP TABLE commands. This pattern is consistent with extortion techniques where attackers encrypt internal database data and remove original tables.
Detects high-frequency file creation, modification, or renaming activity involving files with the specific '.df_win' extension, likely indicative of mass encryption activity or automated ransomware behavior. The rule excludes known backup and security software processes to reduce noise.
Detects high-frequency file creation, modification, or renaming activity involving files with the specific '.df_win' extension, likely indicative of mass encryption activity or automated ransomware behavior. The rule excludes known backup and security software processes to reduce noise.
Detects high volumes of file renaming activities involving files with the .df_win extension. This pattern is often indicative of ransomware-like behavior where mass renaming occurs as part of an encryption process, impacting multiple directories.
Detects the presence of OpnKey ransomware-specific configuration strings related to size-tiered file encryption settings in process command lines. These indicators suggest the execution of a binary with hardcoded logic to categorize files for encryption based on their size.
Page 3 of 33



