Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,310 detections
Filters
Last updated
All Time
Detection languages
682
264
155
72
49
Contributors
237
195
187
166
110
Categories
345
308
229
217
143
Platforms
472
424
224
173
144
Products / Services
264
262
200
176
104
MITRE Techniques
18,116
15,636
12,583
8,393
6,223
1,310
CVEs
5
4
3
3
3
IDS Classtypes
103
67
24
23
12
IDS Protocols
167
51
16
14
7
This rule detects devices with a BIOS release date older than 730 days (2 years), which could indicate unpatched or outdated firmware posing security and stability risks.
Detects clusters of high-volume external source IPs from multiple countries sweeping the same financial web services within an hour.
Detects DNS resolutions to popular threat intelligence, reputation, and sandboxing APIs (e.g., VirusTotal, URLScan, AbuseIPDB) originating from non-browser processes on non-analyst workstations. This behavior may indicate an attacker programmatically querying these services to verify if their infrastructure, payloads, or IP addresses are flagged as malicious, or to conduct reconnaissance.
Another small hunting idea using CallActivityEvents Table. The query extracts the Top-Level Domain (TLD) from the person performing the action in a Microsoft Teams call and enriches it with an external country list. In this example, I exclude .CH to quickly surface activity where the originator is using a domain associated with another country. A different hunting angle to spot unexpected external participants, unusual call activity, or simply identify interactions that deserve a closer look. Of course, a foreign TLD is not malicious by itself — it is just another piece of context for the hunter. 🔎
Detects clusters of high-volume external source IPs from multiple countries sweeping the same financial web services within an hour.
Detects clusters of high-volume external source IPs from multiple countries sweeping the same financial web services within an hour.
Detects HTTP requests, DNS lookups, user-agents, or response bodies referencing Danfoss refrigeration control systems (AK-SM, AK-SC) originating from external IP addresses (outside private/loopback ranges).
This rule monitors network traffic for TLS SNI and HTTP URI indicators associated with known typo-squatted or spoofed Google Drive and Google Meet phishing domains. It also detects the download of a specific ZIP archive used as a phishing lure.
This rule monitors network traffic for TLS SNI and HTTP URI indicators associated with known typo-squatted or spoofed Google Drive and Google Meet phishing domains. It also detects the download of a specific ZIP archive used as a phishing lure.
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 clusters of high-volume external source IPs from multiple countries sweeping the same financial web services within an hour.
Detects clusters of high-volume external source IPs from multiple countries sweeping the same financial web services within an hour.
The following analytic detects the execution of tools commonly exploited by cybercriminals, such as those used for unauthorized access, network scanning, privilege escalation, password dumping 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.
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 monitors network traffic for TLS SNI and HTTP URI indicators associated with known typo-squatted or spoofed Google Drive and Google Meet phishing domains. It also detects the download of a specific ZIP archive used as a phishing lure.
Detects potential reconnaissance or port scanning activities against firewall or UTM management interfaces from external IP addresses. The rule identifies sources that trigger a high volume of blocked or denied attempts across multiple management ports (e.g., SSH, HTTP/S, GUI ports) within a one-hour window.
This Splunk query analyzes web access logs to identify and categorize non-browser user agents, detecting various types of security tools, scripting languages, automation frameworks, and suspicious patterns. This activity can signify malicious actors attempting to interact with web endpoints in non-standard ways.
Detects potential scanning and exploitation attempts against Oracle PeopleSoft Environment Management Hub (PSEMHUB) endpoints, specifically targeting CVE-2026-35273. The rule monitors Azure Application Gateway logs for suspicious HTTP methods (PUT, DELETE, OPTIONS, TRACE) or parameters (e.g., directory traversal strings, command injection indicators) combined with high-frequency sequential probing patterns.
This rule monitors the software inventory for vulnerable versions of OpenSSL and WolfSSL libraries. Specifically, it flags instances of WolfSSL prior to version 5.9.4, which are susceptible to peer-authentication bypass vulnerabilities. The rule is intended for patch management and asset exposure tracking rather than detecting active exploitation.
This rule monitors network traffic for TLS SNI and HTTP URI indicators associated with known typo-squatted or spoofed Google Drive and Google Meet phishing domains. It also detects the download of a specific ZIP archive used as a phishing lure.
Detects potential reconnaissance or port scanning activities against firewall or UTM management interfaces from external IP addresses. The rule identifies sources that trigger a high volume of blocked or denied attempts across multiple management ports (e.g., SSH, HTTP/S, GUI ports) within a one-hour window.
Detects HTTP proxy traffic containing specific header or cookie patterns associated with the Evilginx2 or BigBear adversary-in-the-middle (AiTM) phishing frameworks. These frameworks use these artifacts to proxy connections and facilitate the theft of session tokens for MFA bypass.
Page 2 of 63