Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects outbound HTTP requests to 'third-party.com', a domain identified as being associated with 'ClickFix' social engineering lures, which are commonly used to deceive users into executing malicious scripts or downloading payloads.
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
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
This rule detects potential MFA phishing attempts by identifying access to known malicious domains used for MFA credential harvesting within email communications and network traffic. It flags instances where users interact with domains masquerading as legitimate multi-factor authentication setup or registration services.
Detects clicks on sponsored search engine ads that redirect users to Google Cloud Storage (GCS) buckets with names or paths designed to impersonate the 'Ledger' brand. These artifacts are indicative of a malvertising campaign using typosquatted storage paths to deliver malicious payloads or credential harvesting pages.
Detects phishing messages that deliberately mix writing systems/scripts/homoglyphs in the Subject line as ONE corroborating signal within a broader, multi-signal phishing pattern. Hardened against false positives: brand/product tokens (e.g. Microsoft, PayPal) are stripped before the Latin-script check so a lone brand mention in non-Latin correspondence doesn't count as mixed-script; the suspicious-URL signal requires a high-confidence credential/urgency term (not generic business vocabulary); sender risk requires the domain to be new to both the recipient and the organization; and at least three independent signal categories (not two) must corroborate the language-confusion signal before the rule fires.
Detects phishing messages that deliberately mix writing systems/scripts/homoglyphs in the Subject line as ONE corroborating signal within a broader, multi-signal phishing pattern. Hardened against false positives: brand/product tokens (e.g. Microsoft, PayPal) are stripped before the Latin-script check so a lone brand mention in non-Latin correspondence doesn't count as mixed-script; the suspicious-URL signal requires a high-confidence credential/urgency term (not generic business vocabulary); sender risk requires the domain to be new to both the recipient and the organization; and at least three independent signal categories (not two) must corroborate the language-confusion signal before the rule fires.
Detects phishing messages that deliberately mix writing systems/scripts/homoglyphs in the Subject line as ONE corroborating signal within a broader, multi-signal phishing pattern. Hardened against false positives: brand/product tokens (e.g. Microsoft, PayPal) are stripped before the Latin-script check so a lone brand mention in non-Latin correspondence doesn't count as mixed-script; the suspicious-URL signal requires a high-confidence credential/urgency term (not generic business vocabulary); sender risk requires the domain to be new to both the recipient and the organization; and at least three independent signal categories (not two) must corroborate the language-confusion signal before the rule fires.
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
Detects network traffic associated with the Exvicy malware delivery chain. The rule identifies two behaviors: first, HTTP GET requests to a '/embed/' endpoint with specific 'embed=1' and 'host=cloudflare-check.net' parameters, and second, established TCP connections to a known command and control (C2) IP address related to the ClickFix social engineering delivery method.
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).
This rule detects the execution of LNK or HTA files from a WebDAV share (DavWWWRoot) using common Windows binaries like mshta.exe, wscript.exe, cscript.exe, or explorer.exe. This pattern is commonly associated with the 'ClickFix' technique, where users are lured into opening malicious files hosted on remote WebDAV shares to achieve code execution.
FileFix's core mechanism abuses the HTML input type=file element; clicking a lure button launches explorer.exe from the browser while JavaScript copies a disguised PowerShell command to the clipboard.
FileFix's core mechanism abuses the HTML input type=file element; clicking a lure button launches explorer.exe from the browser while JavaScript copies a disguised PowerShell command to the clipboard.
Detects instances where explorer.exe (the Windows Shell) spawns a PowerShell process with suspicious flags, commonly associated with 'ClickFix' social engineering attacks where users are prompted to copy and paste malicious commands into the Windows Run dialog.
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
This rule detects indicators of Browser-in-the-Browser (BitB) phishing attacks within web proxy traffic. It monitors for suspicious HTML markup mimicking browser UI elements, such as fake title bars and URL bars, as well as specific window dimensions and authentication lures that deviate from known legitimate identity provider patterns.
Detects instances where cmd.exe or powershell.exe are launched from explorer.exe with command-line arguments containing DocuSign-themed keywords. This behavior is indicative of a 'ClickFix' phishing attack, where a user is socially engineered to copy and execute a malicious command via the terminal after interacting with a fraudulent DocuSign lookalike page.
Detects the silent installation or execution of Remote Monitoring and Management (RMM) tools when launched by script hosts (wscript.exe, mshta.exe, powershell.exe) which themselves were spawned by browser processes or explorer.exe. This pattern is characteristic of social engineering delivery chains, such as 'ClickFix', where a user is tricked into executing a script that subsequently fetches and runs RMM payloads for persistent remote access.
Detects endpoint network connections to Heroku-hosted domains containing Google Ads tracking parameters (gclid, gad_source, gad_campaignid). This activity is associated with the initial staging phase of 'ShopEase' style malware delivery chains, where users are directed to decoy pages that prepare the environment for subsequent malicious browser-based actions.
Detects endpoint network connections to Heroku-hosted domains containing Google Ads tracking parameters (gclid, gad_source, gad_campaignid). This activity is associated with the initial staging phase of 'ShopEase' style malware delivery chains, where users are directed to decoy pages that prepare the environment for subsequent malicious browser-based actions.
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