Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,521 detections
Filters
Last updated
All Time
Detection languages
1,049
575
259
163
130
Contributors
536
485
323
178
133
Categories
1,256
974
852
701
406
Platforms
1,929
373
346
244
20
Products / Services
759
507
254
248
210
MITRE Techniques
18,127
15,648
12,596
8,407
6,231
2,521
CVEs
7
5
4
4
4
IDS Classtypes
201
41
5
4
1
IDS Protocols
175
38
21
9
7
Detects outbound network traffic from internal hosts to known MeshCentral Command and Control (C2) infrastructure. MeshCentral is legitimate remote monitoring and management (RMM) software that is frequently abused by threat actors to maintain persistent remote access to victim environments. This rule monitors for established TCP connections on specific ports associated with MeshCentral C2 nodes.
This rule detects network connections and HTTP requests to known malicious URLs, including file downloads associated with C2 infrastructure and malware distribution campaigns. It monitors both direct device network events and HTTP requests logged through security product events to identify potential secondary-stage payload delivery.
This rule detects network connections or process command lines associated with known malicious domains, IP addresses, or payload URLs. Additionally, it correlates connections to common public file-sharing platforms or APIs (e.g., Gofile, Telegram) if these events occur on the same device within a 60-minute window of a confirmed malicious infrastructure event, reducing false positives from legitimate uses of shared infrastructure.
This rule detects potential command and control (C2) activity associated with the CurlRAT malware. It monitors for both the execution of 'curl' or 'curl.exe' processes with command lines containing known C2 domains, and network traffic originating from internal devices directed toward those same domains.
Detects anomalous command-line arguments and process injection behaviors associated with the Sogou IME protocol handler (biz_helper.exe). The rule monitors for malicious argument injection (e.g., embedded scripts, URLs pointing to non-Sogou domains) and correlates these events with suspicious child processes or network activity, consistent with techniques observed in the GRAYRABBIT / UNC3569 threat activity.
This rule detects potential command and control (C2) communication related to the GhostContainer malware. It inspects HTTP POST requests directed at Microsoft Outlook Web Access (OWA) paths containing a suspicious 'x-owa-urlpostdata' header. The presence of this specific header, followed by a base64-encoded string of significant length, indicates an attempt to deliver C2 commands or exfiltrate data through OWA infrastructure.
Detects HTTP downloads from GitHub involving specific repositories and archive naming patterns commonly associated with the 'NightEagle GhostContainer' threat activity. These patterns involve downloading ZIP files disguised as development or resource packages (e.g., 'mirror-js', 'browserthemes', 'resource-pack').
Detects HTTP downloads from GitHub involving specific repositories and archive naming patterns commonly associated with the 'NightEagle GhostContainer' threat activity. These patterns involve downloading ZIP files disguised as development or resource packages (e.g., 'mirror-js', 'browserthemes', 'resource-pack').
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
This rule detects potentially malicious child processes spawned by Visual Studio Code (Code.exe) when using VS Code tasks (tasks.json). It identifies suspicious CLI arguments often associated with downloading, executing, or obfuscating scripts (e.g., PowerShell, curl, python, mshta) that are not part of standard development workflows like npm, yarn, or git, which are explicitly filtered out as noise.
This rule monitors for network connections to known command-and-control (C2) IP addresses and the execution or presence of files matching known hashes associated with the 'PhantomC2' threat group or malware family. It correlates data from DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to identify potential compromise.
Detects network communication with known Command and Control (C2) IP addresses associated with Phantom Stealer malware. This rule monitors both outbound connections from the internal network and inbound traffic from the identified malicious infrastructure.
Detects network communication with known Command and Control (C2) IP addresses associated with Phantom Stealer malware. This rule monitors both outbound connections from the internal network and inbound traffic from the identified malicious infrastructure.
Detects HTTP GET requests to '/api.php?t=' containing a 13-digit timestamp identifier, followed by a response body containing 'download_link'. This pattern is indicative of the SilverFox malware relaying instructions or stage-two payload delivery.
Detects the creation of executable or script files within non-system directories that were initiated by the OneDrive sync process. This activity may indicate a user downloading malicious files via a compromised OneDrive account or a malicious payload being synced to the local system.
Detects file hash hits matching known malicious IOCs or network connections to suspicious domains/URLs.
Detects network traffic initiated by the WeaselBiscuit loader targeting api.npoint.io, a known free JSON storage service often abused by adversaries as a dead drop resolver for Command and Control (C2) configurations or secondary payloads.
Detects network traffic initiated by the WeaselBiscuit loader targeting api.npoint.io, a known free JSON storage service often abused by adversaries as a dead drop resolver for Command and Control (C2) configurations or secondary payloads.
Detects anomalous command-line arguments and process injection behaviors associated with the Sogou IME protocol handler (biz_helper.exe). The rule monitors for malicious argument injection (e.g., embedded scripts, URLs pointing to non-Sogou domains) and correlates these events with suspicious child processes or network activity, consistent with techniques observed in the GRAYRABBIT / UNC3569 threat activity.
Detects the creation of files in the /tmp/ directory by common command-line tools (curl, wget, sh, bash), followed shortly by a successful external network connection by the same process from the same device, excluding known benign domains.
Page 40 of 121