Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects file creation events associated with the UAC-0226 campaign, specifically targeting Ukrainian military-themed lures and staging artifacts related to the GIFTEDCROOK malware. This rule monitors for the presence of specific file paths and naming conventions indicative of ongoing espionage operations.
Detects the use of osql.exe or sqlcmd.exe to query database schema information (such as sys.objects, sys.tables, or INFORMATION_SCHEMA) with output redirected to a file. This behavior is flagged when launched from non-standard parent processes, specifically those commonly associated with web shell activity like w3wp.exe, suggesting post-exploitation database discovery.
Detects the use of common archive utilities (7-Zip, WinRAR) to perform file archiving operations within sensitive user-profile directories (Desktop, Documents, Downloads, etc.). This pattern is often used by adversaries to stage or bundle sensitive data prior to exfiltration.
Identifies the macOS stealer utilizing osascript to pop a fake system dialog, requesting the user's administrator password for privilege escalation.
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 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 the execution of known archive utilities (e.g., 7-Zip, WinRAR) when interacting with sensitive user or system directories. This behavior is often indicative of data staging prior to potential exfiltration, especially when the originating process is not a recognized installer or backup application.
Detects potential financial data exfiltration by monitoring for bulk downloads of files with financial keywords from SaaS/Office365 platforms, and identifies unauthorized processes attempting to access sensitive financial application data files (.qbw, .qbb, etc.) on local systems.
Detects archiving utilities (WinRAR, 7z, zip) executing via command line to recursively compress sensitive user directories (Desktop, Documents, Downloads) into staging folders, which is a common technique for data exfiltration.
Detects the execution of common archival utilities (7zip, WinRAR) with command-line arguments specifying password protection. Attackers often use these utilities to compress and encrypt data prior to exfiltration to evade detection and prevent unauthorized access to sensitive files.
This rule detects processes attempting to access or manipulate Windows clipboard data, often used by adversaries to steal sensitive information copied by users. It monitors common living-off-the-land tools like PowerShell, WScript, CScript, and MSHTA executing clipboard-related functions or interacting with clip.exe.
Detects unauthorized access, modification, or deletion attempts against common web browser credential storage files (key4.db, logins.json, and Microsoft Edge 'Login Data'). These files store sensitive authentication information, and non-browser processes interacting with them are indicative of credential harvesting attempts.
This rule detects processes attempting to access or manipulate Windows clipboard data, often used by adversaries to steal sensitive information copied by users. It monitors common living-off-the-land tools like PowerShell, WScript, CScript, and MSHTA executing clipboard-related functions or interacting with clip.exe.
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 unauthorized access, modification, or deletion attempts against common web browser credential storage files (key4.db, logins.json, and Microsoft Edge 'Login Data'). These files store sensitive authentication information, and non-browser processes interacting with them are indicative of credential harvesting attempts.
This rule detects suspicious activity related to high-volume Server Message Block (SMB) share enumeration and the execution of a specific Python script named 'backup_dfs.py'. It combines three detection logics: identifying processes executing 'backup_dfs.py', detecting an unusual number of SMB network connections to common administrative shares (SYSVOL, NETLOGON, DFS), and flagging high-volume SMB-related identity directory events targeting SYSVOL or NETLOGON. This behavior could indicate an adversary performing discovery of network shares, collecting data, or preparing for data exfiltration.
Detects the execution of 'osascript' with command-line arguments indicative of a credential phishing attempt, specifically looking for prompts that display a dialog asking for a password with a hidden answer field. This is associated with the Sapphire Sleet threat actor's macOS intrusion techniques.
Detects a single host serving materially different status codes, body sizes, or redirects to automated user agents (bots, crawlers, scanners, curl, wget, headless browsers, python, go-http) compared to normal browsers. This behavior can indicate an Adversary-in-the-Middle (AiTM) attack where the adversary is attempting to serve different content to different user agents to evade detection or deliver malicious payloads.
Detects instances where processes other than legitimate browser components attempt to access, read, or copy the browser 'Login Data' file. This file stores credentials used by Google Chrome and Microsoft Edge, and unauthorized access is a common technique used by credential-stealing malware.
Detects instances where processes other than legitimate browser components attempt to access, read, or copy the browser 'Login Data' file. This file stores credentials used by Google Chrome and Microsoft Edge, and unauthorized access is a common technique used by credential-stealing malware.
Detects node.exe copying browser history files to temporary directories, associated with the protocal.cjs backdoor.
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