Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

4,230 detections

Detects HTTP traffic patterns consistent with data exfiltration to major cloud storage providers (AWS S3, Azure Blob Storage, Google Cloud Storage) using common command-line interface tools like rclone, aws-cli, and AzCopy.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects outbound HTTP POST requests characterized by a specific URL pattern consisting of two segments of 4-16 alphanumeric characters, typically observed in Emotet C2 traffic. The rule specifically matches requests with a Content-Type header set to application/octet-stream, which is indicative of malicious binary payload transfer or communication.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by identifying JNDI lookup strings (e.g., ${jndi:ldap://, ${jndi:rmi://, ${jndi:dns://) within HTTP request headers, a technique used to trigger remote code execution in vulnerable Java applications using the Log4j library.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects attempts to exploit the Shellshock vulnerability (CVE-2014-6271) by inspecting HTTP request headers for the characteristic function definition syntax '() { :;'. This pattern is commonly used in malicious payloads to trigger command execution via environment variables in CGI scripts.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects outbound HTTP POST requests where the Content-Length header indicates a transfer size exceeding 10MB to external (non-HOME_NET) addresses. This pattern is indicative of potential data exfiltration via HTTP.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects outbound HTTP POST requests characteristic of QakBot malware command and control (C2) activity. The rule identifies a specific combination of a hardcoded User-Agent string ('Trident/7.0') and a URI pattern consisting of 4 to 32 alphanumeric characters ending in .php.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects common Cross-Site Scripting (XSS) patterns within the HTTP URI, specifically looking for script tags, javascript: URI handlers, and common event handlers (onerror/onload) that are frequently used in XSS injection attacks.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects attempts to inject malicious JavaScript code via HTTP URI requests. It uses PCRE pattern matching to identify common XSS indicators such as <script> tags, JavaScript event handlers (onerror, onload), and attempts to access document.cookie, which are indicative of stored or reflected Cross-Site Scripting (XSS) attack patterns.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects HTTP requests attempting to perform Local File Inclusion (LFI) or path traversal attacks by searching for patterns such as '/../' sequences and common sensitive file paths like /etc/passwd, /etc/shadow, or /proc/self/environ in the URI.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects large HTTP POST requests (over 5MB) directed at external hosts that utilize multipart or chunked encoding, which are commonly used to obfuscate or stream large volumes of data during an exfiltration event.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects outbound HTTP POST requests to suspicious URIs and subsequent inbound responses containing executable binary (PE) signatures, characteristic of Emotet malware command-and-control (C2) activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
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