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Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potentially malicious emails that impersonate Microsoft account security notifications or security advisories. It looks for emails with specific social engineering themes in the sender name, sender address, or subject line, accompanied by .zip attachments that contain suspicious file names related to cybersecurity warnings or OTP abuse, which are common lures for malware delivery.
This rule monitors inbound emails for sender domains or embedded URLs that contain strings related to popular AI service brands (e.g., ChatGPT, Gemini, Claude). It flags these occurrences when the domain does not match the official, legitimate domains for those services, indicating potential phishing or brand impersonation attempts.
This rule monitors inbound emails for sender domains or embedded URLs that contain strings related to popular AI service brands (e.g., ChatGPT, Gemini, Claude). It flags these occurrences when the domain does not match the official, legitimate domains for those services, indicating potential phishing or brand impersonation attempts.
This rule detects potential phishing emails themed around financial documents or shared files that contain URLs associated with device-code authorization phishing lures, such as ARToken PhaaS, or links hosted on workers.dev platforms commonly used for such activities.
Detects web proxy requests that resemble phishing attempts targeting Apple Activation Lock. The rule identifies URLs containing specific Apple-related keywords in combination with common phishing URL paths, while filtering out legitimate Apple support documentation pages.
Detects anomalous OAuth 2.0 device authorization grant requests where the Microsoft Authentication Broker application ID is utilized by non-standard clients, specifically the python-requests library. This pattern is indicative of the GhostCode phishing backend infrastructure, which attempts to programmatically perform device code phishing rather than relying on interactive browser-based flows.
Detects HTTP responses containing script content indicative of anti-analysis or anti-debugging techniques, such as timing checks, debugger detection, and proof-of-work challenges commonly used on adversary-in-the-middle (AiTM) phishing landing pages.
Detects network activity associated with the JWR/Outsider phishing kit, which leverages legitimate e-commerce platform parameters (e.g., Shopify/WooCommerce 'cart_data') to mimic storefront infrastructure. The rule correlates requests containing these e-commerce parameters with the loading of the phishing kit's client-side engine scripts or WebSocket workers from the same host, indicating the use of a compromised or malicious storefront-mimicry domain.
Detects internal spearphishing emails containing subjects and body text commonly associated with payroll fraud, specifically attempts to solicit changes to employee direct deposit accounts by requesting voided checks or information about upcoming payments.
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.
Detects a suspected EvilTokens attack sequence where a user clicks a phishing URL and subsequently initiates a browser session to the Microsoft device-code authorization page (devicelogin) within 15 minutes, with the phishing lure domain appearing in the browser context.
Detects a suspected EvilTokens attack sequence where a user clicks a phishing URL and subsequently initiates a browser session to the Microsoft device-code authorization page (devicelogin) within 15 minutes, with the phishing lure domain appearing in the browser context.
Detects a suspected EvilTokens attack sequence where a user clicks a phishing URL and subsequently initiates a browser session to the Microsoft device-code authorization page (devicelogin) within 15 minutes, with the phishing lure domain appearing in the browser context.
This rule detects incoming email messages containing .zip attachments with filenames that mimic financial documents (e.g., NFe, DANFE, invoice-related keywords) combined with numerical strings. This naming pattern is commonly associated with phishing campaigns attempting to deliver malicious archives.
This rule detects inbound emails where the sender domain matches the recipient domain (internal-looking), but the message authentication (SPF/DKIM/DMARC as indicated by CompAuth status) failed or was not performed. This is indicative of abuse of Exchange Online 'Direct Send' or similar unauthenticated relay methods to spoof internal identities.
Detects a suspicious sequence of network events consistent with a credential-harvesting campaign abusing the FedCM (Federated Credential Management) API. The rule identifies the initial fetch of a malicious loader script from a lookalike domain (pdf.gusercontent.com), followed closely (within 5 minutes) by a redirect to Google's legitimate 'EmbeddedSetup' sign-in flow containing an email parameter.
Detects a suspicious sequence where Microsoft Outlook launches Microsoft Edge to open a URL, and that browser process subsequently makes network connections to infrastructure associated with the ClickFix phishing campaign (e.g., rsvpopenh.one or specific malicious IP).
Detects a suspicious sequence where Microsoft Outlook launches Microsoft Edge to open a URL, and that browser process subsequently makes network connections to infrastructure associated with the ClickFix phishing campaign (e.g., rsvpopenh.one or specific malicious IP).
Detects a suspicious sequence where Microsoft Outlook launches Microsoft Edge to open a URL, and that browser process subsequently makes network connections to infrastructure associated with the ClickFix phishing campaign (e.g., rsvpopenh.one or specific malicious IP).
Detects malicious AI assistant links delivered via spearphishing emails that contain pre-populated prompt injection query parameters. The rule correlates the clicking of a high-signal URL (containing parameters like prompt, system, or lengthy search queries with malicious keywords) originating from an email with a subsequent active session to the same AI service within 5 minutes, confirming potential weaponized AI assistant session manipulation. Covers T1566.002, T1204.001
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