Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
228 detections
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Detects high-frequency connection attempts to PPTP (1723) and L2TP (1701) VPN ports from an external source, indicative of automated scanning or vulnerability discovery activity.
This rule detects high-frequency TCP SYN connection attempts originating from external networks targeting common administrative or tunneling ports (1723/PPTP, 1701/L2TP, 22/SSH) on internal systems. The detection uses a threshold of 100 connection attempts within 120 seconds, which is characteristic of automated reconnaissance and network scanning behavior.
This rule monitors web server logs (IIS, W3C, and Azure Application Gateway) for incoming traffic that matches known malicious or automated vulnerability scanners, as well as requests for common system fingerprinting paths (such as /server-status or /.git/config). The rule aggregates these hits by source IP address to identify potential active reconnaissance or vulnerability scanning attempts.
Detects automated directory fuzzing attempts against Azure Storage blobs targeting sensitive files like .env, .pem, or configuration files. The rule identifies suspicious activity by aggregating requests from Anonymous or SAS-authenticated sources that exhibit high request volumes and access to multiple distinct sensitive paths, while excluding known legitimate bulk-transfer and synchronization tools.
Detects incoming HTTP GET requests targeting Vite development server environments that utilize suspicious query parameters typically associated with vulnerability exploitation (e.g., directory traversal or sensitive file access). The rule specifically flags requests where the User-Agent string contains bot keywords but excludes verified IP ranges, suggesting an attempt to bypass security filters by spoofing crawler identities.
Detects incoming HTTP GET requests targeting Vite development server environments that utilize suspicious query parameters typically associated with vulnerability exploitation (e.g., directory traversal or sensitive file access). The rule specifically flags requests where the User-Agent string contains bot keywords but excludes verified IP ranges, suggesting an attempt to bypass security filters by spoofing crawler identities.
This rule monitors for active reconnaissance or scanning behavior by detecting a single source IP interacting with a high number of distinct ports/hosts within a short time frame (NetworkScan) or accessing a high number of distinct URI paths/404 errors (WebContentScan).
Detects potential web reconnaissance or scanning activity against Microsoft IIS servers. The rule identifies suspicious behavior by monitoring for high frequencies of distinct URI requests, excessive 404 Not Found status codes indicative of path brute-forcing, and the presence of known security scanning user-agents.
Detects high-frequency connection attempts to PPTP (1723) and L2TP (1701) VPN ports from an external source, indicative of automated scanning or vulnerability discovery activity.
This rule detects high-frequency TCP SYN connection attempts originating from external networks targeting common administrative or tunneling ports (1723/PPTP, 1701/L2TP, 22/SSH) on internal systems. The detection uses a threshold of 100 connection attempts within 120 seconds, which is characteristic of automated reconnaissance and network scanning behavior.
This rule detects high-frequency TCP SYN connection attempts originating from external networks targeting common administrative or tunneling ports (1723/PPTP, 1701/L2TP, 22/SSH) on internal systems. The detection uses a threshold of 100 connection attempts within 120 seconds, which is characteristic of automated reconnaissance and network scanning behavior.
Detects high-frequency, automated web scraping behavior targeting product catalog pages, indicative of content harvesting for site replication. The rule monitors IIS logs for non-browser user agents (e.g., Python, curl, Scrapy) performing rapid, multi-page requests within a short duration.
Detects the initialization of containerized LLM-based gateway services (e.g., litellm, ollama) followed closely in time by high-volume network traffic containing suspicious web injection payloads (e.g., SQLi, XSS, SSRF). The rule correlates process execution events for container launches with network activity originating from the same device to identify potential unauthorized or unsupervised automated exploitation.
Detects high-frequency, automated web scraping behavior targeting product catalog pages, indicative of content harvesting for site replication. The rule monitors IIS logs for non-browser user agents (e.g., Python, curl, Scrapy) performing rapid, multi-page requests within a short duration.
Detects automated reconnaissance and enumeration of sensitive web application paths (admin, config, environment files, etc.) from a single source IP. The rule identifies high-frequency request patterns that target specific non-public surface areas while excluding known search engine crawlers and monitoring bots.
Detects the initialization of containerized LLM-based gateway services (e.g., litellm, ollama) followed closely in time by high-volume network traffic containing suspicious web injection payloads (e.g., SQLi, XSS, SSRF). The rule correlates process execution events for container launches with network activity originating from the same device to identify potential unauthorized or unsupervised automated exploitation.
Detects high-velocity, automated web activity originating from a single source IP that simultaneously performs widespread endpoint enumeration, tests sensitive authentication flows, and attempts common injection attack payloads. This behavior is indicative of an automated scanner, crawler, or malicious botnet agent performing rapid discovery and exploitation attempts.
Detects high-frequency, automated web scraping behavior targeting product catalog pages, indicative of content harvesting for site replication. The rule monitors IIS logs for non-browser user agents (e.g., Python, curl, Scrapy) performing rapid, multi-page requests within a short duration.
Detects potential web reconnaissance or scanning activity against Microsoft IIS servers. The rule identifies suspicious behavior by monitoring for high frequencies of distinct URI requests, excessive 404 Not Found status codes indicative of path brute-forcing, and the presence of known security scanning user-agents.
Detects automated directory fuzzing attempts against Azure Storage blobs targeting sensitive files like .env, .pem, or configuration files. The rule identifies suspicious activity by aggregating requests from Anonymous or SAS-authenticated sources that exhibit high request volumes and access to multiple distinct sensitive paths, while excluding known legitimate bulk-transfer and synchronization tools.
Detects automated reconnaissance and enumeration of sensitive web application paths (admin, config, environment files, etc.) from a single source IP. The rule identifies high-frequency request patterns that target specific non-public surface areas while excluding known search engine crawlers and monitoring bots.
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