Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
5,155 detections
Filters
Last updated
All Time
Detection languages
2,301
1,070
640
289
288
Contributors
918
814
769
696
224
Categories
20,456
11,839
5,876
5,155
4,865
Platforms
2,858
2,017
816
524
213
Products / Services
1,336
1,144
831
576
366
MITRE Techniques
1,822
1,307
787
747
577
CVEs
9
7
7
6
6
IDS Classtypes
538
151
101
57
48
IDS Protocols
375
373
132
64
42
This rule monitors network appliance logs (Fortinet, Cisco, Meraki, WatchGuard, Sophos) for patterns associated with known vulnerabilities, including authentication bypass (CVE-2022-40684), SQL injection, path traversal, and command injection attempts within URL parameters. It also flags high-severity IPS/IDS alerts generated by these devices.
Detects instances where a browser extension is installed, followed within a two-hour window by the browser process making network connections to generative AI service domains. This behavior is indicative of potential malicious browser extension activity, such as scraping or exfiltrating session/browsing data to third-party AI backend services.
This rule detects anomalous increases in inbound network connection volume or unique remote IP address counts associated with a specific process running on a Linux host. This behavior can be indicative of automated scanning, brute-forcing attempts, or a Denial of Service (DoS) attack targeting an exposed API service.
Detects anomalous NetScaler session activity potentially indicative of session hijacking or token forgery. This includes identifying session tokens reused across different source IP addresses or user-agents within a short timeframe, as well as detecting session tokens utilized in traffic without a preceding recorded authentication or logon event.
This rule performs a retrospective search across device file and network events for indicators of compromise associated with the UNC6240/ShinyHunters actor's activity against PeopleSoft, specifically linked to CVE-2026-35273. It monitors for known malicious file hashes (JSP webshells and executables), connections to known C2 infrastructure, and DNS lookups for specific malicious domains.
This rule performs a retrospective search across device file and network events for indicators of compromise associated with the UNC6240/ShinyHunters actor's activity against PeopleSoft, specifically linked to CVE-2026-35273. It monitors for known malicious file hashes (JSP webshells and executables), connections to known C2 infrastructure, and DNS lookups for specific malicious domains.
This rule performs a retrospective search across device file and network events for indicators of compromise associated with the UNC6240/ShinyHunters actor's activity against PeopleSoft, specifically linked to CVE-2026-35273. It monitors for known malicious file hashes (JSP webshells and executables), connections to known C2 infrastructure, and DNS lookups for specific malicious domains.
Detects a single source IP initiating network connections to 50 or more distinct destination ports within a 60-second window, which is indicative of an automated port scanning sweep. The rule correlates individual connection events while excluding pre-defined allowlisted vulnerability scanners.
Detects network traffic indicators associated with Cobalt Strike beaconing activity, specifically focusing on common default or near-default Malleable C2 HTTP profile patterns. This includes hardcoded URI paths often used in default configurations (e.g., jQuery library names, pixel gifs) and specific combinations of HTTP headers and user-agent strings commonly observed in adversary C2 frameworks.
This rule monitors for various indicators of compromise (IOCs) including malicious domains, IP addresses, specific URI paths, file names, and file hashes. It aggregates telemetry from network, file, process, and certificate events to detect potential threats interacting with known bad infrastructure or executing suspicious files associated with malware campaigns.
This rule monitors for network connections and process activities associated with known malicious indicators, including file hashes, C2 IP addresses, domains, and specific URLs. It maps these activities to identify potential command and control communication or other malicious network activity occurring on endpoints.
This rule monitors for network communication with known malicious infrastructure (IPs/domains) and the execution of specific suspicious file names. It correlates device network events, file system activity, and process execution, specifically flagging attempts to execute MSI installers or other binaries associated with the identified threat indicators.
Detects network traffic associated with Adversary-in-the-Middle (AiTM) phishing kits that impersonate Microsoft and Google login pages. The rules identify the presence of specific HTML elements (like Cloudflare Turnstile anti-bot gates) and authentication session cookie headers served from non-authorized/non-official domains, indicating a reverse-proxy phishing attack.
Detects anomalous lateral movement behavior where a user account authenticates via NTLM (Logon Type 3) to at least three different hosts within a 10-minute window and subsequently accesses administrative network shares (ADMIN$ or C$) on one or more of those target systems.
Detects a volumetric spike in RPC connection attempts (specifically port 135 followed by Netlogon binding) from a single host to a Domain Controller. This behavior is indicative of the exploit retry mechanism used by Zerologon (CVE-2020-1472) tools, which must attempt the authentication sequence thousands of times due to the low success probability of the all-zero byte ClientCredential.
This rule identifies potential lateral movement or account compromise by detecting accounts that have performed NTLM network logons or authentication (Events 4624/4776) without corresponding Kerberos pre-authentication or interactive logon events within a 15-minute window. This pattern often indicates the use of stolen credentials (e.g., Pass-the-Hash) to access network resources rather than standard interactive user activity.
This rule detects attempts to exploit the Microsoft Support Diagnostic Tool (MSDT) vulnerability CVE-2022-30190, known as 'Follina'. The rules monitor for malicious HTTP traffic and payloads that leverage the 'ms-msdt' URI scheme to execute arbitrary commands, often delivered via weaponized documents or external references to remote malicious HTML files.
Detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by identifying JNDI lookups (ldap, rmi, dns) via malicious strings within HTTP URI and request headers, a common attack vector for remote code execution.
Detects endpoint, process, and network activity associated with the 'TaskStomp' threat actor, specifically targeting known malicious file hashes, command-and-control domains, and specific URLs used in their campaigns.
Detects Heartbleed (CVE-2014-0160) exploitation attempts by monitoring for malformed TLS heartbeat requests (undersized payload) followed by oversized responses from the server that indicate potential memory disclosure.
This rule monitors network connections initiated by common web browsers (chrome.exe, msedge.exe, brave.exe) to known domains associated with a specific VPN proxy service or subscription-based proxy farm infrastructure. The rule flags endpoints communicating with URLs involved in proxy beaconing, fallback hosting, and subscription API calls.
Page 15 of 246


