Detections

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

1,598 detections

Detects potential AiTM or credential harvesting campaigns where a device visits known lure or redirect paths (such as specific domains or workers.dev paths) and subsequently accesses the Microsoft device code authentication page within a 15-minute window.
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Arnold Chan@slaz
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Detection & Hunting Community
22 days ago
000
Detects potential AiTM or credential harvesting campaigns where a device visits known lure or redirect paths (such as specific domains or workers.dev paths) and subsequently accesses the Microsoft device code authentication page within a 15-minute window.
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Arnold Chan@slaz
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Midnight Slayer
22 days ago
000
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.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
505
This rule monitors network traffic, DNS queries, and user web clicks to detect interactions with known malicious domains associated with credential harvesting and phishing campaigns, specifically those impersonating security or SSO portals.
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Des Wass@DesWass
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SlimKQL 2026
1 month ago
45099
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
005
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
005
Detects inbound phishing emails containing brand mentions for Signal, WhatsApp, or Telegram alongside lure phrases related to verification, 2FA, or device linking. The rule specifically filters for emails containing URLs while excluding messages originating from official domains associated with these services.
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Arnold Chan@slaz
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Detection & Hunting Community
27 days ago
102
Detects inbound phishing emails containing brand mentions for Signal, WhatsApp, or Telegram alongside lure phrases related to verification, 2FA, or device linking. The rule specifically filters for emails containing URLs while excluding messages originating from official domains associated with these services.
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Arnold Chan@slaz
Defender - KQL
27 days ago
002
This rule detects established TLS connections to external domains that exhibit characteristics often associated with phishing campaigns. Specifically, it looks for domain names in the SNI field that contain common brand names (e.g., microsoft, google, paypal) combined with typical login-related keywords (e.g., login, verify, auth) on high-churn or suspicious Top-Level Domains (TLDs) such as .top, .xyz, or .icu.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
004
This rule detects established TLS connections to external domains that exhibit characteristics often associated with phishing campaigns. Specifically, it looks for domain names in the SNI field that contain common brand names (e.g., microsoft, google, paypal) combined with typical login-related keywords (e.g., login, verify, auth) on high-churn or suspicious Top-Level Domains (TLDs) such as .top, .xyz, or .icu.
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Arnold Chan@slaz
Defender - KQL
1 month ago
004
This rule detects established TLS connections to external domains that exhibit characteristics often associated with phishing campaigns. Specifically, it looks for domain names in the SNI field that contain common brand names (e.g., microsoft, google, paypal) combined with typical login-related keywords (e.g., login, verify, auth) on high-churn or suspicious Top-Level Domains (TLDs) such as .top, .xyz, or .icu.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
204
Device code authentication flow completed, followed by subsequent session activity from a different IP/user-agent, indicating token replay to an attacker-controlled client that bypasses MFA
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nomit vyas@xoxo
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Detections.ai Community
28 days ago
002
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
004
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
004
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
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Arnold Chan@slaz
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Hunters
1 month ago
004
This rule detects various malicious indicators of compromise (IOCs) across multiple telemetry sources, including DNS queries, web network traffic, file executions, process creation, and email activity. It monitors for interactions with known malicious domains, URLs, file hashes, and specific sender email addresses to identify potential malware distribution or C2 activity.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
104
This rule detects known malicious activity including network connections to a specific C2 IP address (69.48.229.140), downloading files from specific C2 URLs, the presence of known malicious file hashes (SHA256), and communications involving specific actor-associated email addresses.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
204
Detects emails from free-mail domains (@mail.com or @outlook.com) that contain a specific malicious infrastructure indicator in the InternetMessageId or originate from a known suspicious IP address associated with TA419-style spoofing campaigns. This indicates the email was relayed through unauthorized infrastructure rather than the expected legitimate mail providers.
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Arnold Chan@slaz
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Hunters
26 days ago
101
This rule detects various malicious indicators including known file hashes, IP addresses, domains, and specific URLs associated with threat activity. It consolidates hits from process, file, and network telemetry to alert on potential compromise or communication with identified command-and-control (C2) infrastructure.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
105
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
203
This rule detects established TLS connections to external domains that exhibit characteristics often associated with phishing campaigns. Specifically, it looks for domain names in the SNI field that contain common brand names (e.g., microsoft, google, paypal) combined with typical login-related keywords (e.g., login, verify, auth) on high-churn or suspicious Top-Level Domains (TLDs) such as .top, .xyz, or .icu.
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Arnold Chan@slaz
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Hunters
1 month ago
103
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