Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
205 detections
Filters
Last updated
All Time
Detection languages
117
32
20
18
9
Contributors
72
45
32
9
8
Categories
105
95
39
34
28
Platforms
108
63
28
21
16
Products / Services
75
29
29
27
27
MITRE Techniques
18,110
15,627
12,575
8,387
6,212
CVEs
2
2
1
1
1
IDS Classtypes
24
3
3
2
IDS Protocols
23
5
1
1
1
Detects access to device firmware version pages for vulnerability assessment
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.
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.
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.
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.
Detects sustained high-rate web access used to determine business operating hours
SNMP Bulk Walk Enumeration
Suricata
This rule detects SNMP Bulk Walk Enumeration attempts. It triggers when UDP traffic on port 161 (SNMP) contains the case-insensitive string "private" and exceeds a threshold of 10 occurrences from the same source IP within 30 seconds. This activity is indicative of an adversary performing reconnaissance to gather information about network devices.
This rule detects the use of the SQLMap automated SQL injection tool by identifying the string "sqlmap" in the HTTP User-Agent header of network traffic. It specifically looks for traffic flowing to the server on established connections.
This rule detects attempts to fingerprint web applications by identifying the 'WhatWeb' string in the HTTP User-Agent header. WhatWeb is a web application scanner that identifies technologies used by websites, which can be an indicator of reconnaissance activity.
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.
This rule detects sign-in attempts to Azure Active Directory (AAD) service principals where the User-Agent string contains "TruffleHog". TruffleHog is an open-source tool used for finding sensitive data (like credentials) in various data sources. Its presence in AAD sign-in logs, especially for service principals, could indicate an attempt to scan for or verify leaked secrets or credentials associated with service accounts.
Detects API reconnaissance and endpoint scanning activity against Ollama servers by identifying sources probing multiple API endpoints within short timeframes, particularly when using HEAD requests or accessing diverse endpoint paths, which indicates systematic enumeration to map the API surface, discover hidden endpoints, or identify vulnerabilities before launching targeted attacks.
Detects authentication and Office activity where User-Agent strings match known malicious, reconnaissance, scanning, or C2 tool fingerprints. Helps identify automated attacks, credential stuffing, and adversary tooling.
Detects network traffic potentially associated with a scraper botnet variant that uses the "Hello-World/1.0" user-agent string and performs GET requests. This activity is indicative of reconnaissance or data scraping.
Detects network traffic potentially associated with a scraper botnet variant that uses the "Hello-World/1.0" user-agent string.
This analytic detects the execution of tools commonly exploited by cybercriminals, such as those used for unauthorized access, network scanning, or data exfiltration. It leverages process activity data from Endpoint Detection and Response (EDR) agents, focusing on known attacker tool names. This activity is significant because it serves as an early warning system for potential security incidents, enabling prompt response. If confirmed malicious, this activity could lead to unauthorized access, data theft, or further network compromise, posing a severe threat to the organization's security infrastructure.
This rule identifies a source IP address that is triggering a variety of Akamai WAF rules across multiple hosts, which is indicative of broad scanning or reconnaissance activity. It aggregates events by source IP within 30-minute windows, counting distinct WAF rules and hosts targeted. The rule then applies thresholds to identify suspicious behavior, specifically looking for an IP that triggers more than 5 distinct WAF rules, targets more than 2 distinct hosts, and generates over 10 denied events.
Detects reconnaissance activity associated with the exploitation of SharePoint vulnerabilities (CVE-2025-53770, CVE-2025-53771, etc.). Attackers send a specific HTTP POST request to ToolPane.aspx to probe for vulnerable servers.
This detection identifies potential usage of the Naabu port scanner by searching for its process execution or its specific network user-agent string. Naabu is a fast port scanner that can be used for network reconnaissance.
Identifies devices that have been observed as being directly exposed to the public internet. This is based on Microsoft Defender for Endpoint's device discovery capabilities. Such devices may be at higher risk of attack and should be reviewed to ensure the exposure is intentional and properly secured.
Detects HTTP GET requests originating from the 'Hello-World/1.0' user agent to common web ports.
Page 9 of 10