Detections

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

837 detections

Detects inbound traffic, sign-ins, and email activity originating from the Anthropic IP range 160.79.104.0/21.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
004
This rule correlates email sender activity with network, cloud, and identity logs by matching traffic against a specific IP range (160.79.104.0/21) identified as malicious or suspicious. The rule flags instances where this range appears as an email sender IP or as a remote/source IP address across various infrastructure indices, potentially indicating adversary communication or exfiltration.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
004
This rule detects various event types (email, identity authentication, network connections, and cloud audit logs) originating from or interacting with the specific IP address range 160.79.104.0/22 to 160.79.111.0/22, which is associated with known malicious activity.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
104
Detects signs of email bombing by monitoring for critical thresholds in mail server queue size, transfer latency, or a significant spike in SMTP connection attempts targeting individual mailboxes. This activity often aims to disrupt email service availability, bury critical alerts, or facilitate social engineering attacks.
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Georgios Maragos@Gmarak
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Detections.ai Community
2 months ago
008
This rule detects references to specific social media handles and identifiers associated with the MEK/NCRI (National Council of Resistance of Iran) influence campaign within email URLs, device process command lines, and miscellaneous device events. It is designed to identify potential engagement with or dissemination of influence-related content on endpoints and in email communication.
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F S@Fsdr
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Detections.ai Community
2 months ago
202
Detects instances where identified AI agents, bots, or automated assistants perform bulk access operations on mailboxes (e.g., MailItemsAccessed, Send, deletions) or data stores (e.g., FileDownloaded, FileAccessed, SearchQueryPerformed) in Microsoft 365 environments. This monitors for potentially compromised or malicious AI service accounts abusing legitimate access to harvest sensitive data.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
407
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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Hunters
2 months ago
003
Detects inbound emails masquerading as reputable advisory firms (PwC or KPMG) using lookalike sender domains, combined with wire-transfer fraud phrases in the subject line. Correlates with identity logon telemetry for the same fraudulent WhatsApp Business phone number, enabling detection across both email and authentication channels. Note: message body content is not available in the EmailEvents schema, so fraud-phrase matching is subject-only.
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Arnold Chan@slaz
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Hunters
2 months ago
103
Detects high-volume phishing emails that utilize subjects claiming extreme discounts (e.g., 65% off) and contain links to domains ending in the .shop top-level domain (TLD). The rule correlates email subjects with URL domains and alerts when multiple recipients are targeted by the same sender/domain combination.
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Arnold Chan@slaz
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Hunters
2 months ago
003
Detects anomalous volumes of incoming emails to support aliases that contain keywords related to customer service complaints and include URLs pointing to suspicious '.shop' domains, characteristic of 'DoppelCart' or similar fake-shop impersonation phishing campaigns.
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Arnold Chan@slaz
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Hunters
2 months ago
003
Detects incoming EXTERNAL emails containing subject lines indicative of meeting invitations or call records, which include external URLs pointing to non-standard or unverified cloud storage providers, combined with explicit remote-access/support solicitation language. Requiring the remote-access/support signal and excluding internal-to-internal mail narrows this to callback-phishing style lures rather than routine meeting correspondence.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
201
Detects incoming emails from specific suspicious domains that pass authentication checks (SPF, DKIM, DMARC) but contain subject lines commonly associated with phishing campaigns, such as invoices, payment requests, or urgent notifications. The rule includes associated URL and attachment information for further analysis.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
101
Detects inbound emails that spoof ServiceNow branding or impersonate high-level organizational roles (e.g., CEO, VP, President) in the display name while using common reply/forward subject headers. The rule specifically flags these if the sender domain does not originate from a legitimate service-now.com domain and contains PDF or HTML attachments, which are common vectors for credential harvesting or malware delivery.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
Detects inbound emails that pass SPF, DKIM, and DMARC authentication checks but contain attachments (PDF, HTML, DOCX, XLSX, SVG) with subjects commonly used in phishing lures such as DocuSign, shared documents, invoices, or HR announcements.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
000
This rule detects potential large-scale phishing campaigns by identifying email traffic patterns involving URLs hosted on the 'workers.dev' domain. It looks for a high volume of unique recipients and unique subject lines within a short timeframe, which is indicative of automated, mass-distributed phishing lures often used to evade traditional URL reputation filters.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
000
This rule monitors for various types of events (user logons, network connections, API audits, cloud app events, and email traffic) originating from a specific CIDR block (160.79.104.0/21), which is flagged as suspicious or unauthorized.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
003
This rule correlates email sender activity with network, cloud, and identity logs by matching traffic against a specific IP range (160.79.104.0/21) identified as malicious or suspicious. The rule flags instances where this range appears as an email sender IP or as a remote/source IP address across various infrastructure indices, potentially indicating adversary communication or exfiltration.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
103
This rule correlates email sender activity with network, cloud, and identity logs by matching traffic against a specific IP range (160.79.104.0/21) identified as malicious or suspicious. The rule flags instances where this range appears as an email sender IP or as a remote/source IP address across various infrastructure indices, potentially indicating adversary communication or exfiltration.
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Arnold Chan@slaz
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Hunters
2 months ago
003
This rule detects various event types (email, identity authentication, network connections, and cloud audit logs) originating from or interacting with the specific IP address range 160.79.104.0/22 to 160.79.111.0/22, which is associated with known malicious activity.
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Arnold Chan@slaz
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Hunters
2 months ago
003
Detects activity from Anthropic network range across multiple event types
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
103
Detects activity from Anthropic network range across multiple event types
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
003
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