Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects network traffic generated by the OpenVAS vulnerability scanner. It specifically looks for HTTP requests where the User-Agent header contains the string "OpenVAS" (case-insensitive). This indicates that an OpenVAS scanner is actively probing the network, which could be part of a legitimate security assessment or a malicious reconnaissance effort.
This rule detects potential Remote Access Trojan (RAT) callbacks occurring after a remote support session. It specifically looks for HTTP GET requests where the URI contains keywords like 'setup', 'install', 'support', or 'remote' (case-insensitive) and the User-Agent header contains 'MSIE'. This combination suggests a possible RAT communicating with its command and control server, masquerading as legitimate remote support or installation traffic.
This rule detects potential credential phishing attempts by identifying HTTP responses (flow:to_client,established) that contain common keywords associated with login pages, specifically 'password', 'username', and 'action='. The rule looks for these keywords within the file data of the HTTP response, indicating a web page being served to the client that mimics a login form.
This rule detects HTTP requests made to 'search.censys.io', indicating a query to the Censys Internet Asset Database. This activity is often associated with reconnaissance efforts, where an attacker or security researcher gathers information about internet-facing assets.
This rule detects exploitation attempts targeting the Spring4Shell vulnerability (CVE-2022-22965). It specifically looks for HTTP requests containing the string "class.module.classLoader" in the URI, which is a known indicator of this RCE exploitation attempt.
This rule detects attempts to exploit a Local File Inclusion (LFI) vulnerability to read the `/etc/passwd` file on a web server. It specifically looks for HTTP requests where the URI contains the string `/etc/passwd`.
This rule detects the download of a Microsoft Office document that is macro-enabled. It specifically looks for HTTP traffic flowing to the client (download) that contains both "[Content_Types].xml" and "vbaProject" within the file data. These strings are indicative of an Office Open XML (OOXML) file (like .docx, .xlsx, .pptx) that contains VBA macros, which are often used in phishing attacks for initial access.
This rule detects web directory brute-force attempts by identifying HTTP requests where the User-Agent header contains the string "DirBuster". DirBuster is a well-known tool used for brute-forcing directories and file names on web servers.
This rule detects web directory brute-force attempts by identifying the 'gobuster' string in the HTTP User-Agent header. Gobuster is a common tool used for directory and file enumeration on web servers, often as part of reconnaissance or vulnerability scanning activities. The rule specifically targets HTTP traffic flowing to the server.
Cron Job Injection via Web Shell
Suricata
This rule detects attempts to inject cron job commands via web shell activity. It specifically looks for HTTP requests where the URI contains the case-insensitive string "crontab", indicating an attempt to modify scheduled tasks on a system through a web interface, likely a compromised web shell.
This rule detects the download of a compiled AutoIT script payload over HTTP. It specifically looks for the 'AU3!' magic bytes at the beginning of the file data, which is characteristic of compiled AutoIT executables. The detection is focused on traffic flowing from the server to the client (to_client) and assumes an established connection.
This rule detects potential AWS CLI API command execution by monitoring HTTP traffic for connections to 'amazonaws.com' and the presence of 'Action=' in the URI. It uses a threshold of 30 occurrences within 10 seconds from a single source IP to reduce false positives, indicating a high volume of API calls typical of automated scripts or tools.
This rule detects HTTP responses that contain specific keywords indicative of a fake CAPTCHA paste attack page. It looks for the terms "CAPTCHA", "paste", and "Win+R" (case-insensitive) within the HTTP response body. This combination suggests a social engineering attempt where users are tricked into pasting malicious content, often after being instructed to open the 'Run' dialog (Win+R).
This rule detects multiple attempts to pull container image manifests from public Docker registries (registry.hub.docker.com or ghcr.io). A threshold of 10 pulls within 60 seconds from the same source IP is set to identify potentially malicious or excessive activity, possibly indicating an attempt to enumerate or download numerous container images.
This rule detects attempts to deploy a container with host network mode enabled. It specifically looks for HTTP requests to the '/containers/create' endpoint, which is commonly used by container orchestration systems like Docker, and checks for the presence of 'host' within the HTTP client body, indicating the host network mode configuration. This can be a security concern as it allows the container to have direct access to the host's network interfaces, potentially bypassing network segmentation and security controls.
This rule detects attempts to execute commands within a Kubernetes pod using `kubectl exec`. It specifically looks for HTTP requests to port 8080 (often used by Kubernetes API servers or proxies) with URIs containing both '/exec' and 'pods', indicating an interactive command execution session within a pod.
This rule detects an HTTP flood application-layer Distributed Denial of Service (DDoS) attack. It triggers when a single source IP address sends 200 or more HTTP GET requests to a server within a 10-second window. This behavior is indicative of an attempt to overwhelm the application or server with a high volume of legitimate-looking HTTP requests.
This rule detects HTTP POST requests to pastebin.com's API for pasting content, specifically targeting the '/api/api_paste.php' endpoint. It triggers if the size of the data being uploaded is greater than 1000 bytes, indicating a potential data exfiltration attempt to a public text storage site.
This rule detects potential data exfiltration to Dropbox cloud storage. It specifically looks for HTTP POST requests to 'api.dropboxapi.com' with a data size greater than 10000 bytes. This indicates a significant amount of data being uploaded to Dropbox, which could be a sign of unauthorized data transfer.
This rule detects potential sensitive data exfiltration to a web service. It triggers when an HTTP POST request is made from the home network to any destination, and the request body size is greater than 10,000 bytes. A threshold is applied, alerting if 10 such events occur from the same source IP within 60 seconds. This pattern suggests a large amount of data being uploaded, which could indicate exfiltration.
This rule detects HTTP POST requests from the home network to any external server where the request body size is greater than 10000 bytes. It uses a threshold to alert if 5 such events occur from the same source IP within an hour, indicating a potential cron-timed data upload or exfiltration attempt.
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