Detections

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

1,310 detections

Detects queries to certificate transparency logs for subdomain discovery
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
This rule detects potential credential harvesting attempts by identifying emails that contain keywords commonly associated with phishing (e.g., 'password', 'update', 'verify' in the subject) and URLs that suggest login or account pages (e.g., 'form', 'login', 'account'). It aggregates these events from the same sender over a one-hour period and flags senders with three or more such emails.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
004
This rule detects potential Business Email Compromise (BEC) attempts by identifying emails where the sender's address contains keywords like 'ceo', 'finance', or 'hr', and the subject contains keywords like 'wire', 'payment', or 'invoice', but the sender's domain does not match the internal company domain. This pattern suggests an attempt to impersonate a high-ranking individual or department to trick recipients into making unauthorized financial transactions.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
004
This rule detects a high rate of HTTP GET requests that are likely resulting in 404 (Not Found) errors, indicative of a directory brute-force attack. The rule triggers if a single source IP makes 50 or more HTTP GET requests within a 10-second window, suggesting an automated attempt to discover hidden directories or files on a web server.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
007
This rule detects HTTP requests where the User-Agent header contains the string "ffuf" (case-insensitive). FFUF (Ffuf is a Fast Web Fuzzer) is a common tool used for web enumeration, including directory and file brute-forcing. Detection of this User-Agent indicates a potential reconnaissance activity or an attempt to discover hidden web resources.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
007
This rule detects HTTP requests originating from the Nessus vulnerability scanner. It specifically looks for the string "Nessus" (case-insensitive) within the HTTP User-Agent header of outgoing HTTP traffic from the protected network.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
007
This rule detects HTTP connections to known paid intelligence databases. It specifically looks for hostnames containing 'silobreaker.com', 'sixgill.io', or 'cybersixgill' in HTTP traffic flowing from the home network to any destination. This could indicate an internal system or user accessing external threat intelligence platforms, which might be a normal operation for security teams but could also be an indicator of reconnaissance activity by an adversary.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
007
This rule detects potential VPN gateway fingerprinting attempts via the Internet Key Exchange (IKE) protocol. It triggers an alert when a source IP sends 5 or more UDP packets to port 500 (the standard IKE port) on the home network within a 30-second window. This behavior can indicate an attacker attempting to identify active VPN services or their configurations.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
006
This rule detects a network scan targeting TCP port 4444 on the home network. It specifically looks for SYN packets (flags:S) indicating an attempt to establish a connection. A threshold of 5 connection attempts from the same source within 60 seconds triggers the alert, suggesting a port scan activity. Port 4444 is often associated with security appliance management interfaces or backdoors, making probes to this port suspicious.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
006
This rule detects HTTP requests to known IP geolocation lookup services (ip-api.com, ipinfo.io, ipgeolocation.io). A high frequency of such requests from a single source IP within a short timeframe (10 requests in 60 seconds) could indicate reconnaissance activity, where an attacker is gathering information about target IP addresses.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
006
This rule detects network host discovery attempts using a TCP SYN sweep. It triggers when a source IP sends 30 or more TCP SYN packets (indicated by the 'flags:S' option) to any destination on the HOME_NET within a 10-second window. This behavior is characteristic of an attacker attempting to identify active hosts on a network by sending SYN packets and observing which hosts respond with a SYN-ACK.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
206
This rule detects HTTP requests to github.com that contain sensitive file names or patterns in the URI, such as '.env', 'config.php', 'credentials', 'secrets', or 'api_key'. This activity could indicate an attacker or malicious actor searching for sensitive information exposed in public or private GitHub repositories.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
006
This rule detects attempts to fingerprint WordPress login pages by monitoring HTTP requests for the 'wp-login.php' URI. It triggers an alert if a source IP makes 5 such requests within 60 seconds, indicating a potential reconnaissance activity against WordPress installations.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
006
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.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
006
This rule detects a Stealth NULL Scan Port Probe. A NULL scan is a type of port scan where all the TCP flags (URG, ACK, PSH, RST, SYN, FIN) are turned off. If the target port is closed, the target system should respond with an RST packet. If the port is open, the target system should not respond at all. This behavior can be used by attackers to map out open ports on a system while attempting to evade detection by some firewalls or intrusion detection systems that might be configured to only look for SYN packets.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
006
This rule detects potential credential phishing attempts by identifying HTTP URIs that contain the keywords 'redirect', 'login', and 'microsoft' (case-insensitive). This combination of keywords in a URI is often indicative of a phishing link designed to trick users into providing credentials, especially targeting Microsoft accounts, by redirecting them to a fake login page.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
006
This rule detects potential adversary-in-the-middle (AiTM) phishing attempts, specifically those leveraging tools like Evilginx. It triggers on HTTP requests where the URI contains the keywords "verify", "session", and "token" (case-insensitive). This combination of keywords in the URI is indicative of phishing pages designed to capture session tokens or verification codes.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
106
This rule detects HTTP responses containing a PDF file that also includes the string "/URI" and "login" (case-insensitive). This combination is indicative of a malicious PDF credential phishing page being served to a client. The rule specifically looks for the PDF magic bytes at the beginning of the file data.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
006
This rule detects suspicious HTTP traffic indicating a LinkedIn message that contains an external link. It specifically looks for HTTP requests to 'linkedin.com' with a URI containing '/messaging/' and triggers if 10 such events occur within 60 seconds from the same source IP address. This pattern is often associated with social engineering attempts where attackers use LinkedIn messaging to direct users to malicious external sites.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
006
This rule detects potential organization information harvesting via web scraping. It triggers when a client makes 25 or more HTTP GET requests to URIs containing the string "about" (case-insensitive) within a 20-second window. This behavior could indicate an automated script or tool attempting to gather information from a website's 'about us' or similar pages.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
006
This rule detects HTTP requests to a server that contain both 'password' and 'username' in the URI, case-insensitively. This pattern is indicative of a potential credential harvesting attempt where an attacker is trying to collect user credentials via a crafted web page or phishing site. The rule specifically looks for these keywords in the URI of an established HTTP connection flowing to the server.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
106
Page 35 of 63