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Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects incoming or outgoing emails with subject lines containing keywords associated with extortion, data leaks, or data breaches, specifically when accompanied by email attachments.
Detects phishing emails that impersonate DocuSign by containing both an .ics calendar file attachment and a link directing users to the Microsoft login OAuth authorization endpoint, often indicative of credential or token harvesting.
Detects phishing emails that impersonate DocuSign by containing both an .ics calendar file attachment and a link directing users to the Microsoft login OAuth authorization endpoint, often indicative of credential or token harvesting.
This rule detects email activity involving DocuSign-themed messages that contain attachments and also coincide with URL click events that redirect users to Microsoft-related login portals (e.g., login.microsoftonline.com or teams.microsoft.com) containing 'redirect' or 'redirect_uri' parameters. This behavior is indicative of a phishing attempt designed to capture credentials or perform OAuth consent phishing by mimicking legitimate document-signing workflows.
This rule detects browser activity where a page rendered via a data blob loads a sandboxed iframe containing cross-origin content originating from cdn.bloom.io. This pattern is consistent with known phishing delivery mechanisms often used in DocuSign or Teams-themed phishing campaigns to facilitate credential theft or secondary payloads.
Detects incoming emails containing invisible Unicode tag characters used to obfuscate keywords and bypass spam filtering and AI-based detection mechanisms.
Detects incoming emails to finance or accounts payable aliases that contain urgent payment-related keywords and suspicious patterns, such as subject lines including dollar amounts or emails where the Reply-To address domain differs from the Sender domain. This activity is highly indicative of BEC fraud attempts targeting payment redirection.
Detects incoming emails to finance or accounts payable aliases that contain urgent payment-related keywords and suspicious patterns, such as subject lines including dollar amounts or emails where the Reply-To address domain differs from the Sender domain. This activity is highly indicative of BEC fraud attempts targeting payment redirection.
Detects incoming emails to finance or accounts payable aliases that contain urgent payment-related keywords and suspicious patterns, such as subject lines including dollar amounts or emails where the Reply-To address domain differs from the Sender domain. This activity is highly indicative of BEC fraud attempts targeting payment redirection.
Detects coordinated email phishing campaigns by normalizing email subjects to identify recurring templates and flagging those sent to a high volume of recipients across multiple organizations within a short timeframe. The rule specifically targets financial and urgent pretexts from external senders, similar to observed techniques in impersonation campaigns.
Detects phishing attempts related to 'Operation DoppelBrand' campaign using common email service providers (ESPs) to spoof legitimate-looking emails with fraud-themed subjects, such as invoices or payment requests, associated with the Brickstorm malware.
Detects phishing attempts related to 'Operation DoppelBrand' campaign using common email service providers (ESPs) to spoof legitimate-looking emails with fraud-themed subjects, such as invoices or payment requests, associated with the Brickstorm malware.
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.
Detects inbound emails from external domains containing keywords related to financial transactions or urgency in the subject line (specifically matching forwarded or reply formats) accompanied by PDF or HTML attachments. This heuristic approach attempts to identify potential business email compromise (BEC) or phishing lures mimicking invoices or approval requests in environments where raw email body content is unavailable.
Detects inbound emails containing keywords associated with known ransomware extortion tactics (e.g., mention of specific ransomware names, data leaks, and payment demands). The rule filters for inbound traffic to identify external threats while excluding potential internal-generated traffic.
Detects DNS queries and TLS SNI traffic directed towards domains identified as part of Storm-3121/Storm-3032 phishing campaigns. These domains are themed around passkey management and single sign-on (SSO) services, likely intended for credential harvesting.
Detects inbound emails that use a combination of finance-related keyword patterns in the domain and ActiveCampaign-specific relay infrastructure naming conventions. This technique is often used in phishing campaigns to bypass filters by leveraging trusted third-party email service provider infrastructure.
Detects active phishing threat-intelligence indicators whose domain name uses one of the disposable TLDs observed across IronToll's 73+ rotating lookalike domains (.cfd, .sbs, .icu, .buzz, etc.). Scoped to the structured ThreatType classification only — dropped the free-text 'Description has phishing' fallback, since KQL's 'has' is a substring/token match with no negation awareness (e.g. a description stating an indicator is 'not related to phishing' would still match), which could pull in indicators unrelated to actual phishing activity.
Detects active phishing threat-intelligence indicators whose domain name uses one of the disposable TLDs observed across IronToll's 73+ rotating lookalike domains (.cfd, .sbs, .icu, .buzz, etc.). Scoped to the structured ThreatType classification only — dropped the free-text 'Description has phishing' fallback, since KQL's 'has' is a substring/token match with no negation awareness (e.g. a description stating an indicator is 'not related to phishing' would still match), which could pull in indicators unrelated to actual phishing activity.
Detects emails delivering links to IronToll government-impersonation traffic-fine/payment portals (Egyptian and Moroccan justice-ministry lures), correlated with Safe Links click-through telemetry for the same URLs.
This rule monitors for interactions with a list of known malicious phishing domains across email ingestion, user click events, and device network activity. It identifies potential exposure to phishing campaigns by tracking domain matches in incoming email URLs, user-clicked links, and outbound device network connections.
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