Detections

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

5,879 detections

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.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
206
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.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
104
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.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
004
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.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
304
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.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
004
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.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
004
This rule detects network connections from internal devices to a list of known malicious IP addresses associated with command-and-control (C2) infrastructure. It monitors for outbound traffic across all monitored network events on endpoints.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
204
This rule monitors network traffic and DNS queries to identify endpoints attempting to connect to known cryptocurrency scam domains. It correlates data from DeviceNetworkEvents and DnsEvents to capture both direct network connections and DNS resolution attempts.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
004
Detects HTTP(S) requests to known SideCopy/ReverseRAT payload-delivery URLs identified in Operation SideCopy spear-phishing campaigns targeting Indian academia.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
003
This rule monitors for interactions with known malicious files (by SHA256 hash), connections to confirmed C2 infrastructure (specific IP address and domains), or requests to known malicious URLs. It aggregates indicators across file, process, network, and web browsing telemetry to identify potential threats or compromised systems communicating with known attacker infrastructure.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
103
This rule detects outgoing HTTP POST requests that contain a ZIP file with a filename prefix of 'StolenData_' in the request body. This is a known behavior of the TokenGrabber stealer family, which exfiltrates collected victim data (e.g., browser credentials, session tokens) to a remote server, often via a Discord webhook or similar infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
000
Detects unauthorized processes attempting to access Discord's local storage (LevelDB) where authentication tokens are stored, followed by a network request to the Discord API user validation endpoint, which is a pattern indicative of token extraction and liveness testing by malware.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
000
Detects network and DNS activity associated with the SideCopy threat group, specifically monitoring for connections to known C2 domains, C2 IP addresses, or the usage of port 5863 typically associated with the ReverseRAT backdoor.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
303
Detects execution and network activity related to the PamStealer / Wavel malware campaign, including the JXA dropper and associated C2 infrastructure. The rule monitors for known malicious file hashes (e.g., JXA dropper, pkgunpack utility) and network connections to identified lure, distribution, and C2 domains and URLs used by the campaign.
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Arnold Chan@slaz
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Hunters
1 month ago
001
Detects execution and network activity related to the PamStealer / Wavel malware campaign, including the JXA dropper and associated C2 infrastructure. The rule monitors for known malicious file hashes (e.g., JXA dropper, pkgunpack utility) and network connections to identified lure, distribution, and C2 domains and URLs used by the campaign.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
Detects HTTP connections between internal hosts and suspected C2 infrastructure associated with the Operation SilkParasite campaign. The rule specifically monitors for connections to known malicious IPs and identifies the retrieval of a cloned RTX Corporation homepage content, which acts as a decoy for the SpiceRAT malware.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
Detects network traffic involving TLS certificates or Server Name Indication (SNI) values that attempt to impersonate the Uzbekistan state railway authority (azure.uzrailwaystax.com). The rules also flag connections associated with certificates issued by 'TLC DV TLS CA' and known C2 infrastructure using the spoofed railway certificate.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
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.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
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.
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Arnold Chan@slaz
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Hunters
1 month ago
001
Detects outbound HTTP requests from endpoints to a known C2 infrastructure associated with mobile device spyware. The rule identifies two specific stages: polling for new commands using a GET request and posting command execution results using a POST request, both targeting an MDM-mimicking API structure.
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Arnold Chan@slaz
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Hunters
1 month ago
001
Detects outbound HTTP requests from endpoints to a known C2 infrastructure associated with mobile device spyware. The rule identifies two specific stages: polling for new commands using a GET request and posting command execution results using a POST request, both targeting an MDM-mimicking API structure.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
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