Detections

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

1,793 detections

This rule performs a retrospective sweep for indicators of compromise (IOCs) associated with the 'CSuite' phishing and RMM (Remote Monitoring and Management) campaign. It monitors network, DNS, proxy, email, URL click, and file creation telemetry over the past 24 hours to identify interactions with known-malicious IP addresses, domains, URLs, and file hashes related to the campaign.
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Arnold Chan@slaz
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Hunters
1 month ago
001
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
Defender - KQL
1 month ago
001
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
101
Detects activity associated with the MALFEX npm supply-chain campaign (also known as Overlord/movinlike). This rule performs a sweep for known malicious file hashes, suspicious process command lines, outbound network connections to malicious domains or IPs, and email communications from identified adversary-controlled accounts.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
This rule performs a sweep across device file and process events to identify the execution or presence of files matching a curated list of 161 SHA256 hashes associated with twelve known malicious threat actors and families (Lynx, ANUBIS, Rhysida, LockBit, ALPHV/BlackCat, Qilin, Medusa, The Gentlemen, NetRunner, Genesis, Pay2Key, and Handala). The rule filters out events occurring in known EDR/AV quarantine or sandbox directory structures and dedupes hits on a per-device and per-hash basis within 24-hour windows to reduce alert noise.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
101
Detects HTTP GET requests to specific domains (microsoft-flash.com or wps-cn.com) attempting to download a file named 'flashcenter_pp_ax_install_en.exe', which is associated with malicious installer activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
101
Detects msiexec.exe initiating network connections to or executing packages from endpoints containing 'capher.php' and token parameters. This behavior is associated with the 'ClickFix' delivery chain, where adversaries use malicious websites or scripts to trick users into downloading and executing installer files.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
0011
Detects the 2CLoader malware dropping and executing a payload from user-writable directories such as Temp or Downloads. The rule identifies suspicious process lineage by checking for a parent-process spoofing scenario where the reported parent is explorer.exe, but the actual initiator is a different process, excluding common legitimate installer filenames to reduce noise.
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Arnold Chan@slaz
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Midnight Slayer
28 days ago
000
Detects the 2CLoader malware dropping and executing a payload from user-writable directories such as Temp or Downloads. The rule identifies suspicious process lineage by checking for a parent-process spoofing scenario where the reported parent is explorer.exe, but the actual initiator is a different process, excluding common legitimate installer filenames to reduce noise.
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Arnold Chan@slaz
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Detection & Hunting Community
28 days ago
000
Detects the 2CLoader malware dropping and executing a payload from user-writable directories such as Temp or Downloads. The rule identifies suspicious process lineage by checking for a parent-process spoofing scenario where the reported parent is explorer.exe, but the actual initiator is a different process, excluding common legitimate installer filenames to reduce noise.
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Arnold Chan@slaz
Defender - KQL
28 days ago
000
Detects the 2CLoader malware dropping and executing a payload from user-writable directories such as Temp or Downloads. The rule identifies suspicious process lineage by checking for a parent-process spoofing scenario where the reported parent is explorer.exe, but the actual initiator is a different process, excluding common legitimate installer filenames to reduce noise.
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Arnold Chan@slaz
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Hunters
28 days ago
000
Detects a specific multi-stage infection chain associated with Star Blizzard. The sequence begins with a command shell launched under conhost.exe executing SSH with PermitLocalCommand enabled, followed by the execution of a control panel (.cpl) file via control.exe within a two-hour window.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
101
Detects the execution of potentially malicious processes originating from common mail client attachment cache directories, the use of suspicious double extensions in file names, or common command-line interpreters being spawned by Microsoft Office applications, which are high-confidence indicators of phishing or malicious document exploitation.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
This rule detects incoming phishing emails that use specific financial or payment-related lures (e.g., 'eft wire transfer', 'invoice receipt') in the subject line or body to entice users into clicking a link that points directly to an executable file, often disguised as a document.
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Arnold Chan@slaz
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Hunters
28 days ago
000
This rule detects incoming phishing emails that use specific financial or payment-related lures (e.g., 'eft wire transfer', 'invoice receipt') in the subject line or body to entice users into clicking a link that points directly to an executable file, often disguised as a document.
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Arnold Chan@slaz
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Detection & Hunting Community
28 days ago
000
This rule detects incoming phishing emails that use specific financial or payment-related lures (e.g., 'eft wire transfer', 'invoice receipt') in the subject line or body to entice users into clicking a link that points directly to an executable file, often disguised as a document.
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Arnold Chan@slaz
Defender - KQL
28 days ago
000
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
001
Detects network connections to known ChatGPT Custom GPT ClickFix campaign infrastructure (IPs and URLs) as reported by Huntress. This rule covers the network_connection logsource only. Domain/DNS matching is covered by a separate dns_query rule, and file-hash matching is covered by a separate process_creation rule, as Sigma only supports one logsource per rule.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
Detects phishing messages that deliberately mix writing systems/scripts/homoglyphs in the Subject line as ONE corroborating signal within a broader, multi-signal phishing pattern. Hardened against false positives: brand/product tokens (e.g. Microsoft, PayPal) are stripped before the Latin-script check so a lone brand mention in non-Latin correspondence doesn't count as mixed-script; the suspicious-URL signal requires a high-confidence credential/urgency term (not generic business vocabulary); sender risk requires the domain to be new to both the recipient and the organization; and at least three independent signal categories (not two) must corroborate the language-confusion signal before the rule fires.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
Detects HTTP responses containing a file named 'ClaudeDesktop.exe' served from paths containing '/artifacts/' on the 'claude.ai' host where the request referrer is not 'claude.ai' or 'anthropic.com', suggesting a malvertising or supply chain delivery attempt of a malicious installer.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
104
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.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
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