Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects the creation of large files (1MB or greater) with names suggestive of exfiltration or staging (e.g., containing 'exfil', 'stage', 'batch', 'zip', 'archive') in common temporary or public user directories. This behavior can indicate an adversary preparing data for exfiltration.
Detects the creation of specific file names ('oBKhrQLe1CKmO3RhHO', 'logs.txt', 'ExitCode.txt', 'Key10.txt') within the user AppData Local Temp directory, which is indicative of staging or logging activity by potential malware.
Detects unauthorized access to web browser sensitive files, including credential stores, cookies, and local state files, by processes other than standard browsers or their update mechanisms. This rule also flags access to specific staging directories or archive files associated with known malicious activity.
Detects unauthorized processes attempting to read KeePass database files (.kdbx) or VPN configuration files (.ovpn, .vpn) from user directories. This behavior is consistent with the GIFTEDCROOK stealer and UAC-0226 activity, aimed at harvesting credentials from password managers and VPN clients.
Detects unauthorized processes monitoring the system clipboard and replacing content with cryptocurrency addresses. This behavior is indicative of clipboard hijacker malware or banking trojans (such as Rokarolla) attempting to redirect funds by modifying the address in the clipboard.
Detects a mail forwarding or redirect rule created from a session that recently exhibited token replay or unusual client changes. This rule specifically looks for operations related to Inbox Rules in Exchange or Office 365 audit logs that contain keywords indicating forwarding or redirection.
Detects when a single session identifier is used to access multiple cloud applications, where at least three distinct applications are accessed within an hour, and these applications were not part of the original interactive sign-in. This behavior can indicate a token replay attack, specifically as described in the Elastic Security Labs research on Tycoon 2FA AiTM detection engineering.
Detects the use of 7-Zip (7z.exe or 7zip.exe) to archive files within common user directories (Desktop, Documents, Users, AppData). This activity is often associated with staging sensitive data prior to exfiltration.
Detects instances where non-browser processes (that are not signed by major browser vendors) attempt to access common browser credential files such as 'Login Data' or 'logins.json'. This behavior is characteristic of credential dumping or exfiltration attempts by malicious software trying to steal stored browser passwords.
Detects Entra ID guest (B2B) users performing a sign-in from a previously unseen IP address or country (observed over the last 30 days), followed within a 4-hour window by sensitive file operations in SharePoint, OneDrive, or Teams (e.g., file downloads, exports, or sensitivity label changes). This pattern is indicative of potential account takeover or unauthorized access to sensitive corporate data.
Detects an unusually high frequency of storage blob and container listing operations within a short time window. This behavior often indicates an attempt to enumerate the contents of Azure Blob Storage, which may be a precursor to data discovery or exfiltration.
Detects non-browser processes accessing sensitive browser data files (such as Login Data, Cookies, or key stores) followed by network activity to known suspicious, cryptocurrency, or potential malware-hosting domains. This behavior is indicative of credential theft and exfiltration by information-stealing malware.
Detects instances where the Outlook process (OUTLOOK.EXE) initiates a network connection over SMB (port 445) to an external, non-private IP address. This behavior is highly suspicious as Microsoft Outlook should typically not be performing direct SMB connections to external systems, and this is often indicative of an adversary attempting to leverage malicious documents or templates to perform credential harvesting via NTLM relay or SMB authentication captures.
Detects the execution of PowerShell with the Compress-Archive cmdlet where the process originates from user-writable directories (AppData\Local or AppData\Roaming). This behavior is often associated with the staging of data for exfiltration or the compression of unauthorized tools or logs in a user context.
Detects the execution of command-line archiving utilities (7z, rar, tar) invoked by common scripting engines (PowerShell, CMD, Python, etc.) targeting typical staging directories (Temp, Public, AppData, ProgramData). This pattern is frequently observed during the data staging phase of an attack, where adversaries encrypt or compress gathered files for eventual exfiltration.
Detects the AMOS infostealer staging collected system data by using the macOS ditto utility to compress information into a hidden .hipr directory. The rule identifies the execution of ditto with .hipr in the command line in conjunction with the creation of User_Name.txt and System_Information.txt within that same directory.
Detects potential information stealing activity, specifically the Atomic macOS Stealer (AMOS) malware, by monitoring unauthorized processes accessing Safari cookies and Apple Notes databases, excluding legitimate applications.
This rule detects PowerShell activity where scripts or commands are used to interact with the Windows clipboard, such as retrieving text or data. This is often indicative of reconnaissance or data theft attempts, where an adversary aims to capture credentials, secrets, or sensitive information stored in the clipboard by a user.
This rule detects PowerShell activity where scripts or commands are used to interact with the Windows clipboard, such as retrieving text or data. This is often indicative of reconnaissance or data theft attempts, where an adversary aims to capture credentials, secrets, or sensitive information stored in the clipboard by a user.
This rule detects the execution of self-extracting archives (SFX) that are commonly used by malware to launch a visible decoy and a hidden executable from a temporary directory. It specifically looks for process launch events where the command line contains keywords associated with SFX archives (e.g., '7-zip', 'sfx', '-y', '-o') and the principal process's file path contains terms like '7z', 'sfx', 'setup', or 'installer'. The rule aims to identify the initial stage of an attack where an SFX archive is used to drop and execute malicious payloads.
Detects modification of scripts in extension folders.
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