Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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.
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.
This rule monitors email traffic for communication involving identified malicious domains and sender addresses. It cross-references sender information in the EmailEvents log with a predefined set of suspicious domains and email addresses, highlighting potential phishing or malicious outreach attempts.
This rule detects sophisticated phishing lure pages impersonating DocuSign or NFe documentation. It specifically identifies pages that implement multi-layered anti-bot gating techniques, including detection of browser automation (navigator.webdriver), identification of headless browser artifacts (headless/HeadlessChrome), and the presence of interaction-wait fallback timers using addEventListener, all tied to specific malicious content indicators.
This rule monitors network connections, DNS resolutions, and email URLs to detect traffic communicating with a known adversary-in-the-middle (AiTM) phishing infrastructure panel. By correlating security logs, DNS events, and email URL data against this specific indicator of compromise, it identifies potential interaction with phishing sites designed to capture credentials or session tokens.
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.
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.
Detects high-volume, potentially malicious email campaigns characterized by discount-themed subject lines containing keywords like '65% off' and links pointing to '.shop' domains. The rule identifies suspicious patterns by aggregating events and flagging instances where multiple users are targeted with similar subjects and domains, excluding those specifically allowlisted.
Detects high-volume, potentially malicious email campaigns characterized by discount-themed subject lines containing keywords like '65% off' and links pointing to '.shop' domains. The rule identifies suspicious patterns by aggregating events and flagging instances where multiple users are targeted with similar subjects and domains, excluding those specifically allowlisted.
Detects high-volume, potentially malicious email campaigns characterized by discount-themed subject lines containing keywords like '65% off' and links pointing to '.shop' domains. The rule identifies suspicious patterns by aggregating events and flagging instances where multiple users are targeted with similar subjects and domains, excluding those specifically allowlisted.
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.
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.
This rule monitors DNS and email traffic for domains ending in .shop that fuzzy-match against a predefined watchlist of corporate brand names. This behavior is commonly associated with phishing campaigns, brand impersonation, or typosquatting, where attackers use similar-looking domains to lure users into revealing sensitive information or credentials.
This rule monitors DNS and email traffic for domains ending in .shop that fuzzy-match against a predefined watchlist of corporate brand names. This behavior is commonly associated with phishing campaigns, brand impersonation, or typosquatting, where attackers use similar-looking domains to lure users into revealing sensitive information or credentials.
Detects forged NDA documents used in Phantom Deal fake acquisition fraud, requiring corroborating secrecy-clause language and M&A-fraud-specific wire-transfer/payment phrasing alongside impersonated advisory brands
Detects forged NDA documents used in Phantom Deal fake acquisition fraud, requiring corroborating secrecy-clause language and M&A-fraud-specific wire-transfer/payment phrasing alongside impersonated advisory brands
Detects forged Citibank payment confirmation/account statement PDFs used in Phantom Deal BPC fraud to falsely demonstrate wire transfer progress; requires combination of bank branding with fraud-specific SWIFT/routing/CTA artifacts
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.
Detects forged NDA documents used in Phantom Deal M&A fraud campaign, requiring co-occurrence of impersonated advisory firm branding, secrecy-clause language restricting communication to personal channels, and M&A-fraud-specific wire/payment indicators rather than secrecy-clause phrasing alone
Detects forged NDA documents used in Phantom Deal M&A fraud campaign, requiring co-occurrence of impersonated advisory firm branding, secrecy-clause language restricting communication to personal channels, and M&A-fraud-specific wire/payment indicators rather than secrecy-clause phrasing alone
This rule monitors for inbound external emails where the sender requests private communication (e.g., 'private email' or 'personal address') in combination with keywords related to sensitive business topics like M&A, legal, or urgent financial transactions. This pattern is characteristic of Business Email Compromise (BEC) or social engineering attempts designed to move sensitive conversations outside of monitored corporate channels.
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