Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network connection events to known domains and subdomains associated with the SilkParasite threat actor. The rule specifically monitors for connections to specific parent domains (natcommunzu.com, kginfocom.com, mfa-uz.com) and subdomains utilizing service-oriented naming patterns (e.g., mail, service, help, storage, support, microsoft, post) commonly used by this actor for command and control infrastructure.
Detects the use of command-line tools like find and grep to recursively search the filesystem for files containing sensitive information, such as configuration files, environment variables, database credentials, and digital wallet keys. This behavior is indicative of an attacker performing automated discovery of credentials and secrets.
This rule detects a high volume of unique command executions within a short time window where the command lines contain patterns resembling developer or script comments (e.g., # or // followed by keywords like 'attempt', 'retry', 'diagnos'). The threshold-based logic (over 600 unique commands in less than 1 hour) combined with high-frequency retry attempts suggests automated or scripted activity, potentially indicative of automated exploitation frameworks, reconnaissance, or brute-force tools that include verbose logging or internal notes within the command execution.
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.
This rule detects the creation of cron jobs in /etc/cron.d/ that are associated with known miner file names (e.g., redis-miner, xminer). It explicitly looks for instances where the initiating process or its parent process is associated with Redis, suggesting a compromise or exploitation of a Redis service to establish persistence for a crypto miner.
This rule detects the creation of cron jobs in /etc/cron.d/ that are associated with known miner file names (e.g., redis-miner, xminer). It explicitly looks for instances where the initiating process or its parent process is associated with Redis, suggesting a compromise or exploitation of a Redis service to establish persistence for a crypto miner.
Detects Java-based Metasploit/Meterpreter payload files (.class/.jar) dropped post-exploitation, as observed following PaperCut RCE exploitation chain
Detects potential JWT algorithm-confusion or authentication-bypass attempts
targeting WSO2 API Manager components through JWTs specifying unsupported,
downgraded, or unexpected signing algorithms such as "none" or HS256 where
asymmetric signing is expected. Matching events should be investigated to
determine whether the request represents exploitation of CVE-2026-5430.
targeting WSO2 API Manager components through JWTs specifying unsupported,
downgraded, or unexpected signing algorithms such as "none" or HS256 where
asymmetric signing is expected. Matching events should be investigated to
determine whether the request represents exploitation of CVE-2026-5430.
Detects unauthenticated requests to the WordPress admin-ajax.php endpoint utilizing the 'super_create_nonce' action. This action allows an unauthenticated user to generate a valid session nonce, which is a critical bypass mechanism often required for the exploitation of vulnerabilities within the Super Forms plugin, such as CVE-2026-14894.
Detects anomalous, high-volume unauthenticated POST requests to the Elementor Pro 'admin-ajax.php' endpoint with the 'elementor_pro_forms_send_form' action. This behavior is indicative of potential exploitation attempts or reconnaissance associated with the Elementor Pro file upload vulnerability (CVE-2026-32475).
Detects unauthenticated requests to the WordPress admin-ajax.php endpoint utilizing the 'super_create_nonce' action. This action allows an unauthenticated user to generate a valid session nonce, which is a critical bypass mechanism often required for the exploitation of vulnerabilities within the Super Forms plugin, such as CVE-2026-14894.
Detects anomalous credential retrieval activity occurring within 30 minutes of a GitLab Duo Chat GraphQL subscription request. This pattern is indicative of potential exploitation of CVE-2026-87719, which involves insecure deserialization within the GitLab EE GraphQL subscription serializer to facilitate unauthorized credential access.
Detects shell/install scripts that deploy an XMRig-based Monero cryptominer, consistent with the install script planted on the LeakySensey git repository server
Detects shell/install scripts that deploy an XMRig-based Monero cryptominer, consistent with the install script planted on the LeakySensey git repository server
Detects anomalous SSH authentication patterns characterized by a high volume of failed logon attempts (>= 10) originating from a specific IP address within a short timeframe (30 minutes), followed by a successful authentication to the same target device. This pattern is indicative of a successful credential brute-force or password guessing attack against an exposed SSH service.
Detects anomalous SSH authentication patterns characterized by a high volume of failed logon attempts (>= 10) originating from a specific IP address within a short timeframe (30 minutes), followed by a successful authentication to the same target device. This pattern is indicative of a successful credential brute-force or password guessing attack against an exposed SSH service.
Detects anomalous SSH authentication patterns characterized by a high volume of failed logon attempts (>= 10) originating from a specific IP address within a short timeframe (30 minutes), followed by a successful authentication to the same target device. This pattern is indicative of a successful credential brute-force or password guessing attack against an exposed SSH service.
This rule detects the execution of processes associated with CLI proxy routers (such as CLIProxyAPI or router-for-me) that establish network connections to multiple AI provider APIs (e.g., Anthropic, OpenAI, Google Gemini) within a short window. This pattern is indicative of efforts to bypass rate-limiting or allowlisting mechanisms commonly used by corporate environments to control and audit AI service interactions.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
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