Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potentially malicious activity where multiple critical processes (such as database engines or email clients) are terminated in a short time frame, correlated with a high volume of file creation or modification events on the same device. This behavior is indicative of destructive activity, such as ransomware encrypting data stores or disabling defensive software.
Detects the creation or modification of specific dropper/loader files and service worker registration within WordPress directory structures (wp-content/plugins, wp-content/themes, wp-content/uploads). These files are often associated with the injection of malicious scripts (e.g., on-chain resolvers) to facilitate drive-by compromises by site visitors.
This rule detects potentially malicious activity involving the modification of Excel macro security settings (specifically VBAWarnings or AccessVBOM) or the creation of autorun.inf files on removable drives. It identifies these behaviors when they coincide with the execution of Synaptics.exe within a 30-minute window, suggesting a potential correlation between local administrative tasks and malicious document-based payloads or portable drive staging.
This rule detects potentially malicious activity involving the modification of Excel macro security settings (specifically VBAWarnings or AccessVBOM) or the creation of autorun.inf files on removable drives. It identifies these behaviors when they coincide with the execution of Synaptics.exe within a 30-minute window, suggesting a potential correlation between local administrative tasks and malicious document-based payloads or portable drive staging.
Detects attempts to delete, truncate, or overwrite critical system logs and user command history files (such as /var/log/auth.log, syslog, or .bash_history) on Linux systems using common utilities like rm, shred, and truncate. The rule includes exclusions for legitimate system maintenance processes like logrotate and cron.
Detects the creation, modification, or execution of a hidden file named '.rc' located in '/usr/local/bin/'. This behavior is suspicious as it may indicate an attempt to establish persistence or run malicious scripts via hidden configuration files, especially when performed by non-standard installers.
Detects the creation, modification, or execution of a hidden file named '.rc' located in '/usr/local/bin/'. This behavior is suspicious as it may indicate an attempt to establish persistence or run malicious scripts via hidden configuration files, especially when performed by non-standard installers.
This rule detects modifications or creation of the SSH 'authorized_keys' file, often used to establish unauthorized persistent access via SSH key-based authentication. It monitors both file system changes and command-line execution patterns involving SSH key injection commands (e.g., echo, cat, redirection) while filtering out known management agent activity.
Detects SSH persistence planted during the Red Heron campaign: authorized_keys file writes under a .ssh folder, correlated with process command lines referencing authorized_keys and the operator's observed key comment naming pattern (backdoor / root-shell).
Detects text/report artifacts (markdown, JSON, plain text) produced by an autonomous AI-driven vulnerability research pipeline that decompiles binaries, traces cross-references, hypothesizes memory-safety flaws, and generates/debugs proof-of-concept exploits
Detects suspected exploitation of CVE-2026-81963, an Elevation of Privilege vulnerability in the Windows Update stack. The rule monitors for the creation of reparse points, junctions, or symbolic links within update staging paths by Windows Update processes, followed by either the spawning of suspicious child processes or unauthorized file writes/renames outside of expected directories, which are indicative of a privileged link-following exploit.
Detects instances where base64-encoded PHP code, obfuscated behind a 'data:image/gif;base64' MIME type prefix, is written to the disk as a .php file or initiated by web server processes. This pattern is commonly used in file upload bypass attacks to execute arbitrary code.
Detects potential exploitation of PostgreSQL via logical decoding plugins, specifically targeting CVE-2026-6471. The rule monitors for the PostgreSQL server process spawning suspicious shell utilities or loading modules from locations outside of the expected PostgreSQL library or plugin directories, which is a common indicator of unauthorized code execution.
Detects a single process accessing multiple distinct sensitive files related to cryptocurrency wallets, SSH keys, or seed phrases within a short duration. This pattern of bulk file access is highly indicative of automated credential harvesting modules like those found in the CRPx0 malware family.
This rule detects modifications to Group Policy Objects (GPO) or Microsoft Entra (formerly Azure AD) policies that weaken established security controls. For GPO, it monitors Event ID 5136 for changes to security-relevant attributes (e.g., disabling firewall or real-time monitoring) in Active Directory. For Entra, it monitors audit logs for administrative operations that reduce security posture, such as disabling MFA, lowering authentication trust, or deleting Conditional Access policies. It includes filters to exclude legitimate, documented change management activities.
This rule detects modifications to Group Policy Objects (GPO) or Microsoft Entra (formerly Azure AD) policies that weaken established security controls. For GPO, it monitors Event ID 5136 for changes to security-relevant attributes (e.g., disabling firewall or real-time monitoring) in Active Directory. For Entra, it monitors audit logs for administrative operations that reduce security posture, such as disabling MFA, lowering authentication trust, or deleting Conditional Access policies. It includes filters to exclude legitimate, documented change management activities.
This rule detects potential lateral movement activity by identifying executable or script files being written to administrative shares (C$ or ADMIN$) followed by the execution of a file with the same name on the destination device within 15 minutes. It includes logic to filter out known deployment/patch management service accounts and file names to reduce noise.
Detects a sequence of suspicious behaviors on a single host within a 1-hour window, indicative of an adversary establishing a foothold and preparing for malicious activity. The pattern involves: 1) System architecture discovery, 2) Downloading files from an external IP address, 3) Changing permissions of files in temporary directories (e.g., /tmp, /var/tmp, /dev/shm), and 4) Executing files directly from those same temporary directories.
Detects a sequence of suspicious behaviors on a single host within a 1-hour window, indicative of an adversary establishing a foothold and preparing for malicious activity. The pattern involves: 1) System architecture discovery, 2) Downloading files from an external IP address, 3) Changing permissions of files in temporary directories (e.g., /tmp, /var/tmp, /dev/shm), and 4) Executing files directly from those same temporary directories.
Detects the creation or modification of crontab files, as well as the execution of crontab commands, that involve suspicious paths (e.g., /tmp, /var/tmp, /dev/shm, hidden files) or command obfuscation techniques such as base64 encoding. This behavior is often associated with the establishment of persistence by adversaries.
Detects package manager processes (npm, pip, python) executing install-related commands followed by the creation or modification of sensitive files (SSH keys, cloud credentials, shell configurations) within a short timeframe. This behavior is indicative of potential supply chain attacks where a malicious package attempts to steal credentials or secrets upon installation.
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