Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
3,989 detections
Filters
Last updated
All Time
Detection languages
1,774
868
397
195
188
Contributors
1,070
924
756
221
96
Categories
2,448
1,307
1,164
785
713
Platforms
2,415
1,310
658
528
133
Products / Services
1,307
886
808
561
337
MITRE Techniques
18,128
15,651
12,599
8,410
6,235
3,989
CVEs
6
5
5
5
5
IDS Classtypes
564
275
11
8
6
IDS Protocols
537
174
64
64
12
Detects network connections to known command and control (C2) infrastructure, including hardcoded malicious domains, specific C2 IP addresses, and suspicious GitHub access patterns by processes other than standard web browsers, which may indicate malicious ingress tool transfer or C2 communication.
Detects network communication to Firebase infrastructure (.firebaseio.com) initiated by Android devices, which may indicate command-and-control (C2) activity associated with the Mantax Otax malware family. This rule tracks initial connections and should be correlated with specific suspicious domains for higher confidence.
This rule monitors network, DNS, and email activity to identify communication or references to a set of known malicious domains associated with threat activity. It consolidates logs from device network events, DNS queries, and email telemetry (URLs and sender domains) to detect potential compromise or phishing attempts.
Detects HTTP POST requests to gapidriver.com/api/rest.php containing stager-specific status messages like 'build started', 'launch error', or 'all builds loaded', indicating NeedleStealer malware command-and-control activity.
Detects HTTP POST requests to gapidriver.com/api/rest.php containing stager-specific status messages like 'build started', 'launch error', or 'all builds loaded', indicating NeedleStealer malware command-and-control activity.
Detects Odyssey Stealer malware communicating with a known C2 infrastructure using TLS and performing data exfiltration via HTTP requests to raw-IP destinations using disguised file names such as analytics.gif, pixel.png, and content.js.
This rule detects potential automated cryptocurrency wallet draining activity by correlating the execution of known stealer processes (such as GapiUpdate or NeedleStealer) with subsequent outbound network connections to suspicious command-and-control domains or API endpoints within a 30-minute window.
This rule detects potential automated cryptocurrency wallet draining activity by correlating the execution of known stealer processes (such as GapiUpdate or NeedleStealer) with subsequent outbound network connections to suspicious command-and-control domains or API endpoints within a 30-minute window.
Detects NeedleStealer Go-based stealer payload via embedded module path, internal API namespace, build tag, and C2 backend domain
Detects NeedleStealer Go-based stealer payload via embedded module path, internal API namespace, build tag, and C2 backend domain
Detects network activity associated with Rust-based stealer malware, specifically focusing on connections to a known C2 IP address (31.76.7.137) or HTTP requests directed at static-asset paths (e.g., analytics.gif, pixel.png, content.js) when the destination is an IPv4-literal address. This behavior is indicative of C2 beacons or data exfiltration disguised as legitimate web traffic.
Detects network activity associated with Rust-based stealer malware, specifically focusing on connections to a known C2 IP address (31.76.7.137) or HTTP requests directed at static-asset paths (e.g., analytics.gif, pixel.png, content.js) when the destination is an IPv4-literal address. This behavior is indicative of C2 beacons or data exfiltration disguised as legitimate web traffic.
This rule detects successful outbound network connections to the domain 'gapidriver.com' targeting the URI path '/api/get.php'. This pattern is associated with command and control (C2) activity. Due to the lack of specific HTTP header validation in this telemetry source, the signal may require additional validation, such as analyzing the initiating process lineage.
Detects repeated manual HTTP GET requests from many distinct source IPs to a canary token resource. The URI pattern follows a format indicative of a tracked canary token resource, and the threshold of 49 unique source IPs accessing the resource within a prolonged period suggests potential unauthorized reconnaissance or probing activities.
This rule detects TLS handshakes where the Server Name Indication (SNI) field contains an IP address literal instead of a domain name. Legitimate web services and applications typically use FQDNs for TLS SNI to support virtual hosting. Using an IP literal in the SNI field is a technique often used by malware, C2 infrastructure, and malicious scripts to establish encrypted connections while avoiding standard DNS lookups, which may be logged or monitored.
This KQL inventories activity associated with a specified root domain and its subdomains across DeviceNetworkEvents, EmailUrlInfo, CloudAppEvents.
Detects the presence of the known Cyclops Blink implant by file hash (SHA256) on an endpoint, followed by a network connection to associated C2 infrastructure within one hour, aligning with typical implant beaconing or file transfer behavior.
Detects network requests to Google Sheets API containing specific markers (-tk- or val-) in the request body, indicative of potential command and control (C2) communication patterns often associated with malware payloads using Google Sheets for data exfiltration or command retrieval.
Detects the specific execution pattern associated with CurlRAT, where common Linux daemons (crond, atd, agetty, polkitd) perform an outbound network connection and subsequently spawn an interactive shell (sh, bash, dash) as the root user within a 5-minute window.
This rule detects a suspicious sequence of events where a process with a name resembling an updater (AutoUpdate.exe or au.exe) accesses a specific remote configuration file from a herokuapp.com URL, followed by the creation or modification of specific application binaries (e.g., InstaTime.exe, ffmpegsumo.dll). This pattern is indicative of a supply chain compromise or an automated software update hijacking where malicious binaries are staged to replace legitimate application components.
Detects network activity communicating with Google Drive domains (drive.google.com and www.googleapis.com). This rule monitors outbound traffic, which may indicate the use of Google Drive as a command-and-control (C2) channel or for unauthorized data exfiltration.
Page 82 of 190




