Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
837 detections
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Detects downstream delivery of likely AI-paraphrased mass-produced lure content by identifying bursts of near-duplicate subject lines from newly-seen domains with auth failures.
This rule monitors email, SMS, and voice logs for potential phishing attempts targeting user credentials. It specifically looks for social engineering lures related to passkey, SSO, or MFA updates that express urgency or imply service expiration, often masquerading as IT support communications.
Detects a potential Adversary-in-the-Middle (AiTM) attack sequence by correlating OneDrive/SharePoint document sharing email lures with subsequent successful Microsoft 365 sign-ins from unusual locations or user agents within a short time window. This activity often indicates session cookie theft and MFA bypass.
Detects anomalous access to email items containing financial keywords (e.g., payroll, invoice, banking) via 'MailItemsAccessed' events, characteristic of potential data collection following an AiTM (Adversary-in-the-Middle) account takeover. The rule identifies accounts accessing multiple financial emails without performing traditional BEC indicators such as creating inbox rules, modifying mailbox forwarding, or sending outbound phishing emails, which helps isolate silent exfiltration attempts.
Detects the creation or modification of O365 inbox rules designed to move incoming emails to the 'Deleted Items' folder, delete messages, or mark them as read. This behavior is a common indicator of an adversary attempting to hide phishing lures, security alerts, or C2 communications within a compromised mailbox.
This rule detects high-confidence phishing emails that were delivered to either the Inbox or Junk folder. It explicitly filters out messages that have been explicitly allowed by organization-level policies, user-level actions, or specific safe-sender bypass mechanisms, ensuring the alert focuses on malicious emails that bypassed standard security filters without an authorized exception.
This rule detects high-confidence phishing emails that were delivered to either the Inbox or Junk folder. It explicitly filters out messages that have been explicitly allowed by organization-level policies, user-level actions, or specific safe-sender bypass mechanisms, ensuring the alert focuses on malicious emails that bypassed standard security filters without an authorized exception.
This rule detects potential Business Email Compromise (BEC) attempts where an attacker impersonates an executive (CEO, CFO, etc.) via email. It identifies emails where the Sender's display name suggests a high-level executive role, but the domain of the Reply-To address differs from the sender domain, which is a common indicator of a fraudulent routing attempt. The rule further narrows this down to emails with subject lines typical of financial-themed urgency or requests.
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.
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.
This rule monitors various logs (device network events, Entra ID sign-ins, cloud application events, and email events) for any interaction with a predefined list of indicator IP addresses identified as being associated with malicious actor egress traffic.
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.
This rule detects potential phishing or email spoofing attempts that impersonate ServiceNow or utilize suspicious reply-to domains. It looks for emails sent from service-nowinc.com or specific accounts, and correlates them with email headers containing unusual ReplyToDomain fields such as 'domainlify.net'.
Detects phishing emails associated with the 'GhostCode' campaign, which uses an NDA or Supplier NDA Agreement pretext combined with WeTransfer links. The rule identifies suspicious emails by correlating the lure content with additional indicators such as specific lookalike sender domains, VoIP contact numbers, hardcoded ZIP passwords, or HTML attachments.
This rule detects high-volume, burst-pattern email distribution associated with a 'New VM Received' subject line, originating from non-authorized or non-corporate domains. This behavior is indicative of potential mass phishing or spam campaigns mimicking automated voicemail notifications.
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.
Detects anomalous, high-volume email access patterns (more than 200 mail items accessed per hour) by specific Client or Azure AD App IDs, which may indicate automated data collection or exfiltration by an adversary using compromised or unauthorized applications.
Detects anomalous, high-volume email access patterns (more than 200 mail items accessed per hour) by specific Client or Azure AD App IDs, which may indicate automated data collection or exfiltration by an adversary using compromised or unauthorized applications.
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.
This rule detects activity matching known indicators of compromise (IOCs) associated with recent Russian espionage campaigns, including malicious domains, IP addresses, email senders, file names, and file hashes. It monitors network, sign-in, email, process, and file events across enterprise systems.
Detects incoming email messages containing specific suspicious attachment types (.img, .iso) associated with known malicious sender addresses, domains, or specific subject lines indicative of phishing attempts.
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