Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects file access, creation, modification, or renaming operations involving sensitive files associated with cryptocurrency wallets (Bitcoin, Electrum, ElectrumSV), game account configurations (Battle.net, Steam, Minecraft), and browser-based cookies (Roblox). The rule filters out legitimate process interactions, identifying suspicious activity from unknown or unauthorized applications potentially attempting to exfiltrate credentials or session tokens.
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 suspicious activity associated with JSCeal proxy handlers. It identifies Node.js or Electron processes running from non-standard, user-writable directories (such as AppData, ProgramData, or Temp folders) that actively delete or modify browser cookie files within standard web browser profile paths, often indicative of session hijacking or data tampering.
This rule detects suspicious activity associated with JSCeal proxy handlers. It identifies Node.js or Electron processes running from non-standard, user-writable directories (such as AppData, ProgramData, or Temp folders) that actively delete or modify browser cookie files within standard web browser profile paths, often indicative of session hijacking or data tampering.
This rule detects a suspicious sequence of events where a process with a name resembling an updater (AutoUpdate.exe or au.exe) accesses a specific remote configuration file from a herokuapp.com URL, followed by the creation or modification of specific application binaries (e.g., InstaTime.exe, ffmpegsumo.dll). This pattern is indicative of a supply chain compromise or an automated software update hijacking where malicious binaries are staged to replace legitimate application components.
Detects modifications to the 'crond' daemon binary followed closely (within 5 minutes) by a restart or start command via common system management utilities. This behavior is highly indicative of potential persistence mechanisms where an adversary replaces a system binary with a malicious version.
Detects the creation or modification of specific files within the /tmp directory, specifically those matching naming patterns associated with 'jasper-log' files or temporary pipe files. These patterns are often associated with temporary storage or data staging activities during post-exploitation or malware execution.
This rule detects modifications or creation of files named 'crond' in standard system paths ('/usr/bin' or '/usr/sbin') that occur within a 4-second window of an 'ssh' binary file event. This pattern is indicative of potential persistence establishment where an adversary replaces or modifies a system daemon while simultaneously interacting with SSH services.
Detects the creation or modification of a specific file ('libvirtlog.so.0') located in '/usr/lib/' which acts as a gating mechanism for the curlRAT malware. The detection correlates this file event with processes commonly associated with system management that are executing with command line arguments indicative of malicious activity (e.g., 'reverse', 'pty').
Detects modifications to the 'crond' daemon binary followed closely (within 5 minutes) by a restart or start command via common system management utilities. This behavior is highly indicative of potential persistence mechanisms where an adversary replaces a system binary with a malicious version.
Detects the creation or modification of files within the /tmp directory that follow a specific naming convention (t[number]_w.pipe) by an HAProxy process. This pattern is often associated with inter-process communication or potential post-exploitation activity where HAProxy is leveraged to handle named pipes for malicious command execution or data redirection.
This rule monitors for modifications to the PostgreSQL configuration file 'pg_hba.conf', specifically looking for changes that would enable 'trust' authentication, followed by successful database logins using that method within one hour. This behavior is indicative of an attacker modifying authentication rules to gain unauthorized, passwordless access to a database.
This rule detects potential persistence mechanisms in a PostgreSQL database by identifying the creation of a new shared library file (e.g., .so or .dll) within PostgreSQL plugin directories, followed by a modification to the PostgreSQL configuration files (postgresql.conf or postgresql.auto.conf) within a short 30-minute window. This behavior is indicative of an attacker registering a malicious shared library to be loaded upon database startup, a technique associated with PostGREShell-style post-exploitation.
This rule detects modifications to the PostgreSQL authentication configuration file (pg_hba.conf), which controls client authentication. It also identifies replication connection requests from source IP addresses that have not been observed in the previous 7 days, indicating a potential attempt to exfiltrate database data via unauthorized replication.
Detects modifications to the PostgreSQL configuration file 'pg_hba.conf' closely followed by a reload command (via pg_ctl or postgres processes). This behavior is indicative of an attacker attempting to modify authentication or connection access controls for a database.
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.
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.
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.
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.
The following analytic detects .cab files being written to disk.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on events where the file name is '*.cab' and the action is 'write'.
This activity can be significant as .cab files can be used to deliver malicious payloads, including embedded .url files that execute harmful code.
If confirmed malicious, this behavior could lead to unauthorized code execution and potential system compromise.
Analysts should review the file path and associated artifacts for further investigation.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on events where the file name is '*.cab' and the action is 'write'.
This activity can be significant as .cab files can be used to deliver malicious payloads, including embedded .url files that execute harmful code.
If confirmed malicious, this behavior could lead to unauthorized code execution and potential system compromise.
Analysts should review the file path and associated artifacts for further investigation.
Detects file creation, modification, or renaming in System32 by TieringEngineService.exe or MsMpEng.exe within a short time frame.
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