Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects multiple FTP login failures ('530 Login incorrect') from a single source IP address within a short time window, indicating a potential brute force or password guessing attempt against an FTP service.
This rule detects network traffic originating from internal hosts to external destinations consistent with default Cobalt Strike HTTP Beacon communication patterns. It specifically looks for GET requests containing URI paths commonly associated with default Cobalt Strike profiles (ca, submit.php, updates.rss) combined with a specific, hardcoded User-Agent string associated with Cobalt Strike's default configuration.
This rule detects network traffic indicative of the NjRAT (Bladabindi) remote access trojan, specifically identifying its pipe-delimited command-and-control protocol patterns (e.g., '|ll|' or '|kl|').
Detects outbound HTTP POST requests where the Content-Length header indicates a data transfer of 5MB or greater. This pattern is indicative of potential unauthorized data exfiltration over the web protocol.
Detects the transmission of a Metasploit Meterpreter stage over HTTP, identified by an application/octet-stream response containing the DOS MZ header signature.
This rule monitors for HTTP POST requests containing 'class.module.classLoader', which is a characteristic payload component used to exploit the Spring4Shell vulnerability (CVE-2022-22965) in Spring Framework applications. This vulnerability allows for remote code execution (RCE) by manipulating class loader properties.
This rule detects a high frequency of incoming TCP synchronization (SYN) packets on port 3389 (RDP) from a single external source within a short timeframe. This behavior is indicative of a brute-force or credential-stuffing attack against Remote Desktop services.
This rule monitors incoming TCP traffic on port 22 (SSH) and alerts when a single source IP address exhibits an excessive number of authentication attempts within a 60-second window, which is indicative of a brute-force attack against the SSH service.
Detects HTTP requests containing a UNION SELECT pattern in the URI query string, which is a common indicator of a SQL injection attempt aimed at exfiltrating data or manipulating database queries.
Detects inbound HTTP requests containing common Cross-Site Scripting (XSS) patterns, such as the <script> HTML tag or the 'javascript:' URI scheme, which are indicative of attempts to execute arbitrary client-side code.
This rule monitors network traffic over the Telnet protocol (TCP port 23) for patterns indicative of Mirai botnet propagation. It identifies sequences of characters commonly used in Mirai brute-force attempts to guess default credentials (e.g., 'admin' followed by 'password'). The rule utilizes a threshold-based detection filter to trigger only when multiple such attempts are observed from a single source within a 60-second window, helping to filter out individual noise and focus on active scanning behavior.
Detects network traffic consistent with the default Cobalt Strike Malleable C2 jQuery profile. The rule monitors for GET requests to the URI '/jquery-3.3.1.min.js' accompanied by a specific 'Accept' HTTP header, which is a known indicator of default Cobalt Strike beacon activity.
This rule detects potentially malicious DNS traffic where queries contain exceptionally long, encoded, or randomized subdomains. Attackers often use these patterns to exfiltrate data from a target network, bypassing traditional security controls by encapsulating information within DNS requests (DNS tunneling). The detection looks for DNS queries exceeding 100 bytes in length with specific character patterns indicative of Base64 or similar encoding.
This rule detects potential command and control (C2) beaconing activity using DNS by identifying high-frequency, long, and random subdomain queries. It monitors for DNS requests that exceed 40 bytes in size, feature complex alphanumeric subdomains, and exceed a defined threshold of 10 requests within a 60-second window, which is indicative of DNS tunneling or command-and-control exfiltration.
This rule detects attempts to perform directory traversal attacks by monitoring incoming HTTP requests for repetitive directory navigation sequences (e.g., ../, .., %2F, %5C). Such sequences are often used to bypass security controls and access unauthorized files or directories on the web server.
This rule detects potential command and control (C2) activity related to the Qakbot malware. It specifically monitors for established outbound TLS traffic over non-standard ports (ports other than 443) where the Server Name Indication (SNI) field contains a numeric IPv4 address instead of a domain name, which is a characteristic behavior of Qakbot C2 infrastructure.
This rule detects potential Cross-Site Scripting (XSS) attack attempts by inspecting HTTP requests for common malicious patterns, such as embedded script tags, JavaScript URIs, or HTML event handlers like 'onload' and 'onerror'. These payloads are often used by attackers to execute arbitrary code within a user's browser session.
Detects network traffic consistent with the default configuration of a Cobalt Strike Malleable C2 Beacon. The rule identifies HTTP GET requests to a '/updates' URI path, accompanied by the specific default User-Agent string 'Mozilla/4.0 (compatible; MSIE 6.0)', which is commonly observed in uncustomized Cobalt Strike deployments.
Detects HTTP GET requests originating from internal network hosts to external destinations that match known Emotet C2 communication patterns, specifically those using hardcoded URI paths such as '/wp-content/', '/wp-admin/', or '/tmp/' combined with the 'Accept-Encoding: identity' header.
Detects a high frequency of incoming TCP SYN packets targeting port 3389 (RDP) from a single source within a short time window. This behavior is indicative of a brute-force or credential-stuffing attack against Remote Desktop services.
Detects HTTP requests attempting to access sensitive internal IP addresses (RFC-1918) or cloud metadata services (e.g., 169.254.169.254) which are common indicators of Server-Side Request Forgery (SSRF) exploitation attempts.
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