Detections

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

653 detections

This rule detects potential reconnaissance activity by identifying IP addresses that generate a high volume of HTTP requests with user agents indicating bots, crawlers, or scanners. It counts requests per IP address within one-hour bins and flags those with 50 or more such requests.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
004
Detects an unusually high volume of web requests (1000 or more per minute) originating from a single IP address to an IIS web server. This pattern can indicate various malicious activities such as brute-force attacks, denial-of-service (DoS) attempts, or aggressive web scanning.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
004
This rule detects attempts to fingerprint web server software versions by looking for common server headers in HTTP responses. Specifically, it triggers if a client receives an HTTP response containing 'Apache/', 'nginx/', 'IIS/', or 'PHP/' followed by a digit, indicating a version number. The rule is thresholded to trigger only after 10 such events from the same destination within 30 seconds, aiming to reduce alerts from legitimate browsing.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
1010
This rule detects potential network scanning activity targeting LDAP services (port 389) for user session information. It specifically looks for LDAP queries containing "(objectClass=user)" and "lastLogon" within the established TCP flow to the server. A threshold of 5 such queries from the same source within 30 seconds triggers the alert, indicating a possible attempt to enumerate active user sessions.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
This rule detects attempts to enumerate domain trusts by querying LDAP for objects with the 'objectClass=trustedDomain' attribute. This activity is often performed by attackers during the discovery phase to map out the network topology and identify potential lateral movement paths. The rule specifically looks for TCP traffic to port 389 (LDAP) on the home network, containing the specified LDAP filter, and uses a threshold to prevent excessive alerts from legitimate, but frequent, queries.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
This rule detects HTTP requests to the Kubernetes API endpoint '/api/v1/pods' on port 8080. This activity is indicative of an attempt to discover Kubernetes pods and services, which could be part of reconnaissance by an attacker or an authorized user.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
This rule detects potential network reconnaissance activity by looking for keywords such as 'scan', 'sweep', 'probe', 'recon', 'nmap', and 'nessus' within the 'Message' field of CommonSecurityLog entries. This could indicate an adversary actively gathering information about the network infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
105
This rule detects a high volume of HTTP/2 requests (more than 3000 per minute) originating from a single remote IP address, especially when these requests target a diverse set of URIs (more than 10 distinct URIs). This pattern can indicate a denial-of-service (DoS) attack, a web scanner, or other malicious automated activity attempting to overwhelm a service or enumerate resources.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
005
Detects high volumes of network connections directed at Domain Controller RPC and authentication ports from a single source. This may indicate reachability testing, scanning, or exploitation attempts associated with CVE-2026-41089 (Netlogon RCE).
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
23085
This rule detects a TCP SYN packet (initial connection attempt) directed towards port 10443 on the home network. The message indicates this is a probe targeting a Palo Alto Firewall Management Interface. This suggests an attempt to discover or interact with a Palo Alto firewall's management interface, potentially for reconnaissance or exploitation.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
This rule detects attempts to enumerate Docker images via the Docker API. Specifically, it looks for HTTP requests to the '/images/json' endpoint on TCP port 2375, which is commonly used for unauthenticated Docker API access. This activity can indicate an adversary performing reconnaissance on a system to understand its Docker environment.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
This rule detects attempts to query Docker version and virtual machine information via the Docker API. It specifically looks for HTTP requests to port 2375 (commonly used for Docker API) with a URI containing "/version". This activity could indicate reconnaissance by an attacker trying to gather information about the Docker environment.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects attempts to remotely enumerate Windows Event Logs over SMB. It specifically looks for TCP traffic on port 445 (SMB) where the content includes both "eventlog" and "EvtQuery" (case-insensitive), indicating a query for event log information.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects attempts to enumerate Azure Blob Storage containers. It specifically looks for HTTP requests targeting Azure Blob storage hosts (ending with '.blob.core.windows.net') and containing the query parameter '?comp=list', which is used to list containers within a storage account. This activity is indicative of reconnaissance or discovery against Azure cloud resources.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects a high volume of web requests (20 or more within 5 minutes from a single IP address) containing keywords commonly associated with denial-of-service (DoS) attacks, performance testing, or reconnaissance activities against web applications. Keywords include 'sleep', 'benchmark', and 'loadtest' in the URI query string.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
This rule detects an unusual number of HTTP OPTIONS or TRACE method requests from a single IP address within a one-hour window. While these methods have legitimate uses, their frequent or excessive use can indicate reconnaissance, vulnerability scanning, or attempts to bypass security controls. The rule triggers if 5 or more such requests are observed from the same IP within an hour.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects a high volume (50 or more) of HTTP errors (status codes 400 and above) originating from a single client IP address within a 5-minute time window. This behavior can be indicative of various malicious activities such as brute-force attacks, web application vulnerability scanning, or denial-of-service attempts against a web server.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects potential reconnaissance activity by identifying IP addresses that generate a high volume of HTTP requests with user agents indicating bots, crawlers, or scanners. It counts requests per IP address within one-hour bins and flags those with 50 or more such requests.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects a high volume of web requests (20 or more within 5 minutes from a single IP address) containing keywords commonly associated with denial-of-service (DoS) attacks, performance testing, or reconnaissance activities against web applications. Keywords include 'sleep', 'benchmark', and 'loadtest' in the URI query string.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects suspicious network connections originating from internal IP addresses to common service ports (DNS, SMB, RDP, WinRM) on remote, non-internal IP addresses. It flags instances where a single process on a device makes 10 or more such connections within an hour, which could indicate reconnaissance, lateral movement, or data exfiltration attempts.
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Ankit Mehta@Secvyn
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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.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
007
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