Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects potential Browser-in-the-Middle (AiTM) credential relay attacks where a user clicks a malicious phishing URL, followed shortly by a successful interactive sign-in from a different IP address and a previously unseen device.
Detects instances where a single authentication correlation ID is associated with multiple distinct IP addresses within a 10-minute window, followed by high-risk administrative or data-access actions within 30 minutes. This behavior is indicative of session hijacking or post-authentication account compromise, where an adversary uses stolen session tokens to perform unauthorized activities.
Clipboard and screenshot staging pair
Cortex XDR
This rule detects the creation of 'Clipboard.txt' and 'Screenshot.bmp' files by the same process, indicating potential data staging activities. It leverages XQL to maintain actor and causality fields for investigation.
This rule detects a potential data collection or exfiltration attempt in Microsoft Teams by identifying accounts that have accessed an abnormally high number of messages (more than 100 within a 5-minute window). This behavior may indicate an automated process or a compromised user account attempting to scrape internal communications.
This rule detects potential credential harvesting activity associated with the Hannibal Stealer. It looks for non-standard processes (processes other than the browsers themselves) that access sensitive browser credential stores (like 'Login Data', 'cookies.sqlite', or 'key4.db') and correlate these file access events with the loading of 'bcrypt.dll' or 'CefSharp.BrowsersSubprocess.dll', which are often used for decryption or browser automation/sub-processes during credential theft.
This rule detects when non-FileZilla processes attempt to read or access sensitive FileZilla configuration files, specifically 'recentservers.xml' or 'sitemanager.xml', which are known to store plain-text credentials for site connections. This behavior is indicative of credential harvesting.
This rule detects potential data exfiltration activity where PowerShell is used to compress files followed by an outbound network connection to a known C2 IP address and port. It also monitors for direct outbound connections from PowerShell involving suspicious keywords indicative of data staging and exfiltration such as 'Compress-Archive', 'client.zip', and 'UPLOAD'.
Detects potential clipboard harvesting behavior indicative of information stealers like StealC. The rule monitors for processes executing from suspicious, user-writable directories (e.g., AppData, Temp) that perform clipboard access operations while lacking typical interactive process characteristics.
Detects unauthorized access to Chrome and Firefox browser credential (Login Data, logins.json, key4.db) and cookie database files on macOS by non-browser processes, commonly observed in credential theft campaigns like ClickFix.
Detects consecutive successful AWS ConsoleLogin events for the same user originating from distinct IP addresses within a 10-minute window. This behavior is indicative of a session-based attack such as Adversary-in-the-Middle (AiTM) where session cookies are intercepted and replayed, allowing an attacker to bypass traditional authentication or multi-factor authentication controls.
Detects the creation of the file 'logs.dat' within the 'AppData\Roaming\DT' directory, which is a known artifact for keylogging output generated by the Remcos RAT. The detection flags this activity when performed by suspicious processes.
This rule detects potential adversary-in-the-middle (AiTM) activity targeting FortiGate firewalls, specifically looking for internal authentication traffic (LDAP, Kerberos, LDAPS, MS-SQL) originating from a firewall management IP. The rule triggers if there are 5 such connections within 60 seconds, indicating a possible listening post or attempt to intercept credentials.
This rule detects the creation of common media file types (audio and video) within user-specific application data, temporary, or user profile directories. This activity could be indicative of various malicious behaviors, including data exfiltration, staging of malicious payloads, or the dropping of decoy files by malware.
Detects remote SMB access (Event ID 5145) to sensitive file paths where credentials are commonly stored, including DPAPI master keys, browser profiles, cloud provider configuration directories, and password manager data. This activity often indicates unauthorized credential discovery and staging during lateral movement or post-compromise reconnaissance.
Detects suspicious API calls related to remote thread creation, memory allocation, and screen capturing, along with image loads of GDI32.dll from unusual paths and specific file activity. This rule also identifies processes associated with known malicious software product names.
This rule detects suspicious file read or access events on common cryptocurrency wallet application folders (Electrum, Coinbase, Exodus), specific wallet files (wallet.dat), or browser extension folders associated with MetaMask. The rule specifically excludes legitimate access by the wallet applications themselves or common browsers to reduce false positives, indicating that an unauthorized process might be attempting to access sensitive cryptocurrency data.
Detects the installation of the BTMOB Android RAT by identifying sideloaded application installations combined with the enablement of sensitive features such as Android Accessibility Services, device administrator registration, or the granting of high-risk permissions (SMS, camera, audio recording) typically used by mobile banking trojans.
Detects the use of 'docker cp' to copy files to or from sensitive host paths, such as cron, password files, SSH keys, or system directories, which often indicates attempts to escape container isolation or establish persistence on the host.
Detects activity consistent with the Grandoreiro banking trojan, including DLL sideloading, screen capturing, keystroke hooking, unauthorized network connections to known banking infrastructure, and suspicious data exfiltration bursts.
This rule detects non-browser processes attempting to access sensitive local files associated with common web browsers (Google Chrome, Microsoft Edge, and Mozilla Firefox). Specifically, it monitors for file events involving login databases, cookies, and key storage files by processes other than legitimate browser executables, which is a common technique used by credential-stealing malware.
This rule detects processes other than standard browsers (Chrome, Edge, Firefox, Opera) or authorized password managers (KeePass) accessing sensitive files such as browser credential stores, cookies, local state configuration files, KeePass databases (.kdbx), or VPN configuration files (.ovpn). The rule identifies suspicious activity by monitoring for access patterns that indicate potential credential theft or exfiltration.
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