Detections

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

1,735 detections

Detects high-volume internal email campaigns that exhibit characteristics of phishing, specifically utilizing sender display name impersonation of executive or IT support roles, urgent subject lines, and URLs identified as malicious by threat intelligence. The rule tracks common attributes like SPF/DKIM/DMARC failures and rapid delivery to multiple recipients.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
000
This rule monitors for email events where the email is flagged for suspicious properties (SPF/DKIM/DMARC failure, threat categorization) and includes potentially malicious attachments or URLs. It then correlates these suspicious emails with subsequent process execution events on the recipient's endpoint within a 30-minute window, identifying a potential successful execution of a phishing payload.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
000
This rule detects network connections or DNS queries to known phishing domains (typosquatted Microsoft login domains), DeadDrop Resolver domains, and suspicious HTML payloads served from common CDN/package hosting sites (e.g., unpkg.com, npmmirror.com, cdn.jsdelivr.net, yarnpkg.com). These patterns are indicative of initial access attempts via phishing or the secondary stage of malware C2 communication.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
000
Detects a high volume of outbound emails (more than 20 within a one-hour window) from a single sender containing the subject line 'Payment Transaction Failed Reminder', which is a common pattern for phishing or social engineering campaigns.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
000
This rule detects potential phishing activity by correlating email delivery events and URL click events against a set of known malicious domains and suspicious URL paths. It identifies when a user receives an email containing a suspicious link or interacts with such a link, providing visibility into potential credential harvesting or malware delivery attempts.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
000
This rule detects potential phishing activity by correlating email delivery events and URL click events against a set of known malicious domains and suspicious URL paths. It identifies when a user receives an email containing a suspicious link or interacts with such a link, providing visibility into potential credential harvesting or malware delivery attempts.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
000
This rule monitors for email events where the email is flagged for suspicious properties (SPF/DKIM/DMARC failure, threat categorization) and includes potentially malicious attachments or URLs. It then correlates these suspicious emails with subsequent process execution events on the recipient's endpoint within a 30-minute window, identifying a potential successful execution of a phishing payload.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
6011
This rule identifies potential phishing emails that impersonate OneDrive sharing notifications. It correlates email messages containing keywords typically associated with document sharing (e.g., 'OneDrive', 'shared', 'file') with subsequent user URL clicks. Crucially, the rule filters for clicks to domains that are not explicitly related to legitimate OneDrive, SharePoint, or 1drv.ms hosting, indicating a potential attempt to lure users to a malicious third-party site under the guise of file sharing.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
2010
Detects incoming emails that impersonate DocuSign notifications, specifically looking for typical phishing lures involving 'Remittance Advice' and a call-to-action to 'Tap here to view document'. This rule identifies emails using common social engineering tactics to harvest credentials or distribute malware via fake document links.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
4010
Detects high-volume internal email campaigns that exhibit characteristics of phishing, specifically utilizing sender display name impersonation of executive or IT support roles, urgent subject lines, and URLs identified as malicious by threat intelligence. The rule tracks common attributes like SPF/DKIM/DMARC failures and rapid delivery to multiple recipients.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
209
Detects incoming emails from an external domain where the email subject contains the recipient's normalized local name. This is a common pattern for targeted phishing or 'CEO fraud' style attacks where the subject is crafted to mimic personalized or internal communications.
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Shadows VMB@Vemorian_Mort
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Detections.ai Community
2 months ago
17037
This rule identifies phishing attempts by detecting inbound emails where the sender's domain or any embedded URLs within the email content match a pre-defined list of known malicious domains. It flags emails for further investigation by correlating sender domain data and URL information found in the email communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
001
Detects a high volume of outbound emails (more than 20 within a one-hour window) from a single sender containing the subject line 'Payment Transaction Failed Reminder', which is a common pattern for phishing or social engineering campaigns.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
000
This rule detects HTML content containing common indicators of fake Cloudflare 'Verify you are human' CAPTCHA lure pages associated with the Beamglea/ClickFix campaign. These lures often use typosquatted domains or specific API key patterns and include JavaScript code to facilitate the 'copy-and-paste' execution workflow typical of the ClickFix attack technique.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
This rule identifies suspicious emails containing password-protected attachments or files often used to bypass email security gateways. It monitors for emails where the subject line includes password hints or keywords like 'protected' or 'secure', combined with the presence of attachments and URL-based links, which are common tactics in phishing campaigns to distribute malicious payloads.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
208
Detects Direct Send spearphishing impersonating internal roles (IT/Finance/Procurement) with business-themed lures targeting leadership/finance titles. Rewritten: removed a non-functional sender/recipient substring check and a broken EmailPostDeliveryEvents join that made the rule rarely fire; anchored detection to the actual Direct Send signature (null envelope + domain match) and a direct IdentityInfo join; standardized auth-failure parsing to match the other rules in this set.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
Detects inbound emails where the sender domain mimics finance-themed brands (using a regex-based pattern) and includes URLs redirecting through the ActiveCampaign platform tracking domains (activehosted.com or acemlnd.com). This rule identifies potential phishing campaigns attempting to use legitimate email marketing infrastructure to bypass reputation-based filters.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
2 months ago
000
This rule correlates Microsoft Defender for Office 365 'Safe Links' phishing alerts, which indicate a user has clicked a potentially malicious URL. It extracts the malicious domain from the URL and aggregates multiple alert events by that domain to identify potential phishing campaigns impacting multiple users within the organization.
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DL Cyber@DanCortex
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Detections.ai Community
2 months ago
3011
Detects Microsoft Teams messages containing specific external domains, which may indicate phishing or unauthorized sharing of malicious links within the organization.
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Shadows VMB@Vemorian_Mort
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Detections.ai Community
2 months ago
8020
This rule detects potential phishing activity by identifying bulk email campaigns (5 or more recipients) where either the email subject contains known suspicious keywords (e.g., 'password', 'urgent', 'invoice') or the Reply-To address domain differs from the sender domain. The rule specifically excludes emails with attachments or URLs, focusing on social engineering pretexts that aim to initiate a conversation or gather information without external payloads.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
105
This rule detects messages sent or chats created in Microsoft Teams by external or guest users where the chat name or message content impersonates IT support, helpdesk, or other official organizational entities. It specifically looks for keywords commonly used in phishing attempts to trick users into believing the sender is a legitimate internal service.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
3 months ago
550566
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