Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

3,989 detections

Detects a specific multi-stage exfiltration pattern characterized by initial reconnaissance/fingerprinting probes against sensitive service endpoints (/health, /docs, /openapi.json) followed by unauthorized access to artifact storage endpoints (/files or /file?name=) from the same device against the same host within a short timeframe.
avatar
Arnold Chan@slaz
Defender - KQL
1 month ago
002
Detects the anomalous behavior of a Node.js process acting as a typosquatting agent. The detection identifies a node.exe process initiating a network connection to a known malicious C2 IP and port, followed by the termination of that same process within 45 seconds. This pattern is consistent with the agent crashing due to an unhandled exception (e.g., os.userInfo() failure) after beaconing.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
1 month ago
002
This rule detects HTTP POST requests characteristic of the curlRAT malware used by DPRK-affiliated threat actors. The detection looks for a specific POST body format containing 'name=', '&value=', and '&type=' parameters, which indicates C2 communication patterns commonly associated with this specific backdoor.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
1 month ago
102
This rule detects activity involving known malicious indicators of compromise (IOCs), including specific IP addresses, domains, and file hashes. It monitors network connections, file system activity, process execution, and email attachments, filtering out common security tools to reduce noise.
avatar
Arnold Chan@slaz
avatar
SlimKQL
1 month ago
102
Detects node.exe processes initiating network connections to specific C2-related URI patterns commonly associated with ChainScript-style remote script loading. This behavior indicates an agent process retrieving attacker-supplied JavaScript code for execution via vm.runInNewContext, or establishing unauthorized C2 communication channels.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
1 month ago
2018
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
1 month ago
3023
This rule performs a point-in-time sweep for known Indicators of Compromise (IOCs) associated with the NeedyMantis threat actor group. The detection logic searches for specific file, process, and image-load SHA256 hashes, communication with a known C2 domain (tripswithengine.com), and the use of a hard-coded user-agent string (Firefox/21.0) across various telemetry sources within the last 30 days.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
1 month ago
303
This rule detects potential persistence via scheduled tasks that masquerade as legitimate network components (e.g., 'System Health Monitor'), as well as abnormal use of WebDav via rundll32.exe or net.exe in the context of the Star Blizzard (COLDRIVER) campaign. It monitors for task creation/updates, schtasks command lines, registry artifacts related to task scheduling, and suspicious WebDav network utility usage, while excluding common security tool processes.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
1 month ago
002
This rule correlates multiple telemetry sources (File Events, Certificate Info, Network Events, and DNS Events) to detect known malicious indicators, including specific file hashes, IP addresses, domains, and URLs associated with malicious activity.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
1 month ago
007
Detects post-exploitation command execution originating from a compromised explorer.exe process. The rule identifies processes like cmd.exe, powershell.exe, or conhost.exe spawned by an explorer.exe instance that has previously loaded the malicious 'MicrosoftEdgeUpdateCore.dll' module, correlating this activity with the established 'tailcat.exe' command-and-control tunnel.
avatar
Arnold Chan@slaz
avatar
Hunters
1 month ago
004
Detects endpoint-based retrieval of potential malicious payloads or configurations from blockchain-hosted infrastructure (e.g., Infura, Alchemy, public RPC nodes) using web-based RPC calls, followed by the execution of a script interpreter (e.g., PowerShell, WScript, MSHTA). This pattern is characteristic of 'EtherHiding' campaigns where smart contracts are used as decentralized and takedown-resistant storage for second-stage delivery.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
1 month ago
104
Detects HTTP beaconing activity associated with the MacSync stealer malware on macOS platforms. The rule monitors for specific URI patterns ('curl', 'dynamic', 'gate') combined with macOS-specific User-Agent strings and potential credential exfiltration headers, indicating established communication with a Command and Control (C2) server.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
1 month ago
003
Detects network traffic (TLS SNI and HTTP Host headers) attempting to connect to known command-and-control infrastructure associated with the NodeRabbit RAT and Mirage Kitten campaign. The rule monitors for unauthorized connectivity to specific domains including 'oracle-challenge.s3.us-east-1.amazonaws.com', 'plugplay.azurewebsites.net', and 'lifespotify.com'.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
1 month ago
103
This rule detects network connections from internal devices to a specific remote IP address (134.122.155.135) over port 443. This is characteristic of communication with a known or suspicious Command and Control (C2) server.
avatar
Ankit Mehta@Secvyn
avatar
SlimKQL
1 month ago
102
This rule detects installation of known malicious npm packages associated with the PhantomSub campaign, which abuse WhatsApp spam channels. It also identifies network connections to known remote C2 channel-list URLs or domains used by these packages to automate channel joining.
avatar
Arnold Chan@slaz
avatar
Hunters
1 month ago
002
This rule detects installation of known malicious npm packages associated with the PhantomSub campaign, which abuse WhatsApp spam channels. It also identifies network connections to known remote C2 channel-list URLs or domains used by these packages to automate channel joining.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
1 month ago
102
This rule detects installation of known malicious npm packages associated with the PhantomSub campaign, which abuse WhatsApp spam channels. It also identifies network connections to known remote C2 channel-list URLs or domains used by these packages to automate channel joining.
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
1 month ago
002
This rule detects installation of known malicious npm packages associated with the PhantomSub campaign, which abuse WhatsApp spam channels. It also identifies network connections to known remote C2 channel-list URLs or domains used by these packages to automate channel joining.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
1 month ago
102
Hunts network, HTTP, and email-URL telemetry for known ARToken infrastructure (operator backend IPs and phishing/panel domains). Bounded to a 30-day lookback and tiers matches by confidence: domain hits are high-confidence (attacker-registered infrastructure), while IP hits are medium-confidence since the IPs sit on shared DigitalOcean hosting that can be reassigned to unrelated tenants once ARToken's infrastructure is taken down. Empty/unparsed indicator fields are excluded to avoid spurious matches in the HTTP event parsing branch. No known file hashes are associated with this intel.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
1 month ago
102
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.
avatar
Arnold Chan@slaz
Defender - KQL
1 month ago
004
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.
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
1 month ago
004
Page 13 of 190