Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects web server request patterns associated with a 'Kali365' phishing campaign that utilizes device code authorization flows. The rule identifies suspicious JSON design payloads that simulate various enterprise brands (e.g., Microsoft 365, DocuSign, Adobe) in combination with a 'device_code' flow identifier, indicative of a credential or token-harvesting attack.
Detects ClickFix social engineering used in the TELEPUZ/VIDAR campaign where a user is tricked into executing a PowerShell command that downloads a binary from memshowblob.forum using bypass flags and removes the Zone.Identifier ADS. Part of the CLICKFIX-VIDAR initial access chain delivering TELEPUZ MaaS malware.
This rule detects scenarios where an email containing a specific URL has been soft or hard deleted from a user's mailbox (often by security automated systems), but a user has subsequently clicked that same URL. This often indicates a race condition or a failure in security controls where a malicious link was delivered and accessed before or during the removal process.
Detects network traffic containing a characteristic 'Loading in progress...' string, which is associated with the 'Kratos' animated envelope loading screen used in fake Microsoft 365 credential harvesting pages.
Detects sequential HTTP GET requests for specific SVG assets (barr.svg followed by lg.svg) associated with the Kratos V1 phishing kit landing page, indicating potential interaction with a phishing site.
Detects potential execution of malicious HTA files or encoded PowerShell commands initiated from the Windows Explorer Run dialog. This behavior is consistent with 'ClickFix' social engineering attacks where users are tricked into copying and pasting commands into the Run dialog to bypass security controls under the guise of verifying a fake CAPTCHA.
Detects HTTP GET requests for specific static assets (dsa.svg, sid.gif, imag.jpg) known to be associated with the Kratos V2 phishing kit, which is often used in credential harvesting campaigns.
KQL Query from file: The Hunt for QR Phisher
This rule detects potential phishing activity by correlating emails containing links to a specific suspicious domain and path with network activity (DNS queries or direct network connections) to the same domain. It targets both the initial email delivery and subsequent user interaction (e.g., clicking the link or downloading files).
This rule detects potentially malicious activity where a web browser (e.g., Chrome, Edge, Firefox) spawns suspicious child processes (e.g., mshta.exe, wscript.exe) with command-line arguments that include indicators of script execution, remote code download, or command invocation, which is a common pattern in drive-by download attacks and malicious link execution.
This rule detects a multi-stage phishing campaign involving Gmail-hosted emails containing 'short.gy' URLs. It monitors for three distinct signals: (1) Outbound network connections to 'chongdaotang.net', (2) User clicks on 'short.gy' links arriving from Gmail addresses, and (3) Inbound or BCC-delivered emails from Gmail senders containing 'short.gy' links. This combination is highly indicative of a phishing operation attempting to redirect users to a malicious infrastructure.
This rule detects command-line execution or activity containing specific strings associated with a fake 'damaged application' dialog box on macOS. This behavior is indicative of the PamStealer malware or similar social engineering campaigns that attempt to deceive users into believing their application is corrupt, thereby tricking them into interacting with malicious artifacts.
Detects browser processes (Chrome, Edge, Firefox, IE) being launched with a URL containing a crafted Microsoft 365 Copilot Search parameter (q=) with an unusually long command line. This pattern is indicative of potential exploitation attempts such as CVE-2026-42824 (SearchLeak), where attackers inject malicious payloads or HTML/script tags into the search query string to be processed by the browser.
Detects browser processes launching PowerShell, CMD, MSHTA, or WScript. This behavior aligns with ClearFake-style social engineering campaigns that instruct users to copy and execute malicious commands.
Detects when a web browser (Chrome, Edge, Firefox, Brave, Opera) initiates a process that is not another instance of itself. This could indicate a drive-by download, execution of malicious code, or other suspicious activity originating from a browser.
Detects a PDF, SVG, HTML, or presentation attachment containing a QR code or extracted URL that leads into an enterprise authentication workflow. This rule is designed to identify phishing attempts where adversaries embed QR codes or malicious URLs within common document types to direct users to fake enterprise login pages for credential harvesting.
Detects web proxy traffic containing links to lookalike recruitment portals using specific typosquatting suffixes (e.g., .com.de) and URL paths (/careers/auth). These patterns are linked to UNC1549, an adversary identified as targeting aerospace and defense organizations with fake React-based recruitment lures.
Detects when a web browser (Chrome, Edge, Firefox, Brave, Opera) initiates a process that is not another instance of itself. This could indicate a drive-by download, execution of malicious code, or other suspicious activity originating from a browser.
This rule detects when a user clicks on a URL that contains a domain identified as malicious. The rule specifically looks for `UrlClickEvents` where the extracted domain from the URL matches any of the domains listed in the `malicious_domains` array. This can indicate a successful phishing attempt or an accidental click on a known malicious link.
This rule detects potentially malicious activity where a web browser (e.g., Chrome, Edge, Firefox) spawns suspicious child processes (e.g., mshta.exe, wscript.exe) with command-line arguments that include indicators of script execution, remote code download, or command invocation, which is a common pattern in drive-by download attacks and malicious link execution.
Detects malicious URLs sent via Microsoft Teams direct messages that contain known phishing TLDs, indicating potential phishing attempts or the use of Phishing-as-a-Service (PhaaS) infrastructure. The rule specifically targets one-on-one chats and filters for a broad list of suspicious top-level domains.
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