Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects the use of package managers like 'pip' or 'npm' to install specific suspicious software packages or tools often associated with supply chain compromise or malicious library installation (e.g., 'huggingface-cli', 'unused-imports', 'react-codeshift').
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 the installation of software packages in build or CI pipelines where the package was published to its registry between 30 and 90 days prior to being first used in the environment. This pattern is indicative of potential dependency confusion or typosquatting attacks, where adversaries use newly created packages to deliver malicious code.
Detects lateral movement activity where a host identified as running the Langflow framework attempts to connect to internal MySQL (3306) or Nacos (8848) services while utilizing root credentials, potentially indicating an attacker pivoting from a compromised application server.
Detects lateral movement activity where a host identified as running the Langflow framework attempts to connect to internal MySQL (3306) or Nacos (8848) services while utilizing root credentials, potentially indicating an attacker pivoting from a compromised application server.
Detects the execution of PostgreSQL dump utilities (pg_dump, pg_dumpall) initiated directly by application-level processes like Langflow or Python, rather than through standard system-level task schedulers. This behavior is indicative of unauthorized data collection or staging of database contents by an application process.
Detects the execution of PostgreSQL dump utilities (pg_dump, pg_dumpall) initiated directly by application-level processes like Langflow or Python, rather than through standard system-level task schedulers. This behavior is indicative of unauthorized data collection or staging of database contents by an application process.
Detects the execution of PostgreSQL dump utilities (pg_dump, pg_dumpall) initiated directly by application-level processes like Langflow or Python, rather than through standard system-level task schedulers. This behavior is indicative of unauthorized data collection or staging of database contents by an application process.
Detects suspicious process execution patterns originating from Langflow or Nacos AI orchestration services, including the spawning of sensitive binaries like cmd, powershell, or scripts (python/bash/sh) with suspicious command-line arguments. Additionally, it identifies potential exploitation attempts targeting known-vulnerable API endpoints (code validation and Nacos user authentication).
Detects suspicious process execution patterns originating from Langflow or Nacos AI orchestration services, including the spawning of sensitive binaries like cmd, powershell, or scripts (python/bash/sh) with suspicious command-line arguments. Additionally, it identifies potential exploitation attempts targeting known-vulnerable API endpoints (code validation and Nacos user authentication).
Detects suspicious process execution patterns originating from Langflow or Nacos AI orchestration services, including the spawning of sensitive binaries like cmd, powershell, or scripts (python/bash/sh) with suspicious command-line arguments. Additionally, it identifies potential exploitation attempts targeting known-vulnerable API endpoints (code validation and Nacos user authentication).
Detects suspicious process execution patterns originating from Langflow or Nacos AI orchestration services, including the spawning of sensitive binaries like cmd, powershell, or scripts (python/bash/sh) with suspicious command-line arguments. Additionally, it identifies potential exploitation attempts targeting known-vulnerable API endpoints (code validation and Nacos user authentication).
Detects the creation or modification of files within the /etc/init.d/ directory, followed by process activity related to that same directory. This pattern is commonly associated with attackers establishing persistence on Linux systems via SysVinit scripts.
Detects the presence of the known Cyclops Blink implant by file hash (SHA256) on an endpoint, followed by a network connection to associated C2 infrastructure within one hour, aligning with typical implant beaconing or file transfer behavior.
Detects the creation of a WordPress administrator account within one hour of a recorded web request to a known web shell path (Mushr00w) or suspect plugin upload directory. This correlation is a high-fidelity indicator of post-exploitation persistence and administrative account hijacking.
Detects potential remote code execution (RCE) attempts targeting vulnerable Sub-Store instances (versions < 2.38.2). The detection identifies web browsers making network connections to local ports (38324) associated with Sub-Store, followed by the spawning of shell processes (cmd, powershell, bash, sh) by the Node.js process hosting the application.
Detects the creation, modification, or renaming of PHP files within the 'wp-content/uploads' directory of a WordPress installation. This pattern is commonly indicative of an attacker uploading a web shell to maintain persistence or execute arbitrary code on a compromised web server.
Detects the creation of a WordPress administrator account within one hour of a recorded web request to a known web shell path (Mushr00w) or suspect plugin upload directory. This correlation is a high-fidelity indicator of post-exploitation persistence and administrative account hijacking.
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 direct SQL UPDATE operations on the pg_authid system table to modify privilege flags (e.g., rolsuper, rolcreaterole) without using the authorized ALTER ROLE statement. Such activity often indicates an attempt to escalate privileges or modify database user permissions in an unauthorized manner, bypassing standard auditing and role management processes.
Detects attempts to modify internal PostgreSQL system catalog tables (pg_authid or pg_proc) to grant superuser privileges or alter authorization records. This activity is commonly associated with exploiting logical decoding plugins to achieve persistence or privilege escalation in PostgreSQL environments.
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