Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The FileFix→StealC payload chain (Facebook-security-alert lure, Acronis/HivePro 2026 reporting) harvests browser-stored credentials, cookies, and session data as its primary objective.
The FileFix→StealC payload chain (Facebook-security-alert lure, Acronis/HivePro 2026 reporting) harvests browser-stored credentials, cookies, and session data as its primary objective.
Detects unauthorized processes attempting to read or copy sensitive browser data files (e.g., Cookies, Login Data, Local Storage) often targeted by info-stealing malware such as Vidar, LummaC2, or RedLine. The rule filters out legitimate browser-related processes and adds security context by requiring evidence of unsigned code, execution from suspicious locations (Temp/Downloads), or associated outbound network activity to reduce false positives.
Detects unauthorized processes attempting to read or copy sensitive browser data files (e.g., Cookies, Login Data, Local Storage) often targeted by info-stealing malware such as Vidar, LummaC2, or RedLine. The rule filters out legitimate browser-related processes and adds security context by requiring evidence of unsigned code, execution from suspicious locations (Temp/Downloads), or associated outbound network activity to reduce false positives.
Detects SectopRAT (Arechclient2) .NET RAT binaries deployed via tampered libcef.dll / JetBrains helper DLL sideloading that harvest browser credentials, cookies, credit card data, and files. Tightened to require combined sideload+family+target indicators plus .NET CLR import evidence, avoiding standalone generic strings.
This rule detects a credential theft pattern where a browser process is forcefully terminated using taskkill, followed shortly by the creation of a 'wd_tmp.db' file in browser user data directories. This behavior is indicative of malware attempting to stage and exfiltrate browser credentials like cookies and login data.
This rule detects a credential theft pattern where a browser process is forcefully terminated using taskkill, followed shortly by the creation of a 'wd_tmp.db' file in browser user data directories. This behavior is indicative of malware attempting to stage and exfiltrate browser credentials like cookies and login data.
This rule detects a credential theft pattern where a browser process is forcefully terminated using taskkill, followed shortly by the creation of a 'wd_tmp.db' file in browser user data directories. This behavior is indicative of malware attempting to stage and exfiltrate browser credentials like cookies and login data.
This rule detects a credential theft pattern where a browser process is forcefully terminated using taskkill, followed shortly by the creation of a 'wd_tmp.db' file in browser user data directories. This behavior is indicative of malware attempting to stage and exfiltrate browser credentials like cookies and login data.
Detects the behavior of LunexStealer targeting cryptocurrency wallets. The rule monitors for the enumeration of known crypto wallet files and browser-stored extension data, followed closely by the creation of a 'wallet.zip' archive by the same process, which is indicative of staged data collection for exfiltration.
Detects the behavior of LunexStealer targeting cryptocurrency wallets. The rule monitors for the enumeration of known crypto wallet files and browser-stored extension data, followed closely by the creation of a 'wallet.zip' archive by the same process, which is indicative of staged data collection for exfiltration.
Detects the execution of known NTLM relay and coercion tools (such as PetitPotam, EfsPotato, PrinterBug, DFSCoerce, or Coercer) when attempting to coerce a local authentication or credential relay using the local loopback address. These tools leverage various RPC-based techniques to force the local machine to authenticate to an attacker-controlled source, facilitating NTLM relay attacks.
Detects high-privilege user accounts (e.g., executives, administrators) undergoing a credential or MFA reset, followed by an atypical sign-in event within a two-hour window. This pattern is indicative of potential account takeover or identity-compromise scenarios, often associated with help-desk vishing attacks where an attacker induces a user or administrator to reset credentials or MFA methods.
Detects a two-stage activity: first, the potential unauthorized reading or access of LLM provider API keys from files, environment variables, or command-line arguments; and second, the subsequent use of those same credentials to authenticate to LLM provider APIs (OpenAI, Anthropic, Azure, Bedrock) from a different, unrecognized source IP address, indicating potential credential theft and session hijacking.
Detection of common web server reconnaissance, enumeration, and brute-force patterns targeting IIS environments. This includes detection of short-name (~1) probes, WebDAV method usage, NTFS alternate data stream requests, and brute-force attempts on login endpoints originating from PowerShell user agents.
Detects the loading of the 'WbElevation.dll' module associated with SectopRAT, followed by suspicious access to browser, email, or cryptocurrency wallet credential stores within a 10-minute window on the same device.
Detects anomalous activity from IDEs or AI coding assistant extension host processes (e.g., VS Code, Cursor, JetBrains). The rule alerts when these processes spawn children that access sensitive local credential files, perform network connections to non-standard/unexpected domains, or modify critical CI/CD build script configuration files, which is indicative of a supply chain compromise within the developer environment.
Detects a specific attack chain attributed to ClosedQuorum, involving LSASS memory dumping, subsequent access to browser-based credential stores or cryptocurrency wallet files, and finally staging the stolen data in C:\Windows\Temp\ within a short time window.
Joins password reset events to subsequent legacy-protocol (IMAP/POP/SMTP/ActiveSync) or non-interactive sign-ins for the same user, catching attackers who pivot to less-monitored protocols immediately after a vished self-service reset.
Detects the use of the ntdsutil.exe utility to create an Install From Media (IFM) backup. This technique is often used by adversaries to create a copy of the Active Directory database (NTDS.dit) for offline credential extraction.
Detects the execution of pypykatz or Python scripts invoking pypykatz commands to perform credential dumping, specifically targeting LSASS memory or minidump files.
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