Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

711 detections

This rule detects the execution of known NirSoft credential recovery utilities, such as WebBrowserPassView, ChromePass, and others, when they are located within a specific 'music/mimik/' directory structure, which is indicative of credential harvesting activities staged by an adversary.
Aaron etr@sertg
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Detections.ai Community
4 months ago
104
Detects access or creation of sensitive browser-related files such as cookies, login data, and preferences within identified backup directories for Google Chrome and Microsoft Edge. This activity is often associated with credential theft or data staging for later exfiltration.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
107
Detects the execution of command-line arguments associated with the 'FortiEndpoint_Patch.exe' binary, which is used by the EKZ Stealer malware to perform credential harvesting operations such as listing, searching, viewing, exporting, or labeling sensitive data.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
1015
Detects unauthorized processes attempting to access sensitive browser credential files ('Login Data', 'Local State', 'key4.db', 'logins.json') which are typically associated with stored passwords and profile data. The rule specifically excludes common web browsers (Chrome, Edge, Firefox, Brave, Opera) to reduce noise from legitimate browser operations.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
1010
This rule detects the execution of processes named 'MiniBrowse' or access attempts to common web browser credential storage files (Google Chrome 'Login Data', Microsoft Edge 'Login Data', and Mozilla Firefox 'logins.json' or 'key4.db'). These patterns are characteristic of browser credential stealing malware or unauthorized data collection tools.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
4012
This rule detects a multi-stage attack pattern involving the execution of PowerShell via explorer.exe, followed by subsequent sub-process activity that attempts to access sensitive browser-stored credentials (Login Data or Cookies) or specific cryptocurrency wallet data, combined with a concurrent network connection attempt, indicative of credential exfiltration via a command-and-control (C2) beacon.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
108
Detects file activity (creation, modification, copying, or renaming) within the 'leveldb' directories of popular web browsers (Chrome, Edge, Brave, Opera) and Discord applications by processes other than the legitimate application executables. This behavior is highly indicative of credential theft or data staging, often associated with malware attempting to extract browser session cookies, local storage databases, or stored credentials.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
0010
This rule monitors for a suspicious execution pattern where a browser (Chrome or Edge) is launched with specific command-line flags ('--no-first-run', '--disable-gpu', 'about:blank') by a non-standard parent process, followed shortly by the loading of the 'elevation_service.exe' from 'services.exe' and the loading of 'DPAPI.dll' by the browser process. This sequence is often associated with automated browser credential dumping activities, where attackers attempt to bypass UI requirements or programmatically extract secrets from the browser's credential storage.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
207
Detects unauthorized processes attempting to access Firefox credential storage files (key4.db, logins.json) or loading the NSS cryptographic library (nss3.dll) commonly used by Firefox for decryption, which is indicative of credential harvesting.
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Subhankar H@Andrewsec57
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Detections.ai Community
4 months ago
007
This rule detects processes accessing sensitive browser credential files ('passwords.json' or 'cookies.json') located in common browser profile output directories. Accessing these files is a common technique used by malware and adversaries to steal stored credentials from web browsers.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
101
Detects a sequence of suspicious activities characteristic of information-stealing malware (e.g., Vidar/SnappyClient). The rule correlates browser credential access (Login Data/Cookies), screen capturing (GDI API calls), and keylogging (SetWindowsHookEx) with subsequent archive staging activities (compression of sensitive data in temp folders) within a one-hour window.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
106
Detects credential harvesting behavior by non-browser processes attempting to access browser credential storage (Login Data/Local State files) and identifies execution of the masquerading binary 'FortiEndpoint_Patch.exe' and the creation of the 'log.txt' artifact in C:\ProgramData used by the EKZ Stealer.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
206
This rule detects potential credential harvesting and sensitive data collection activities on macOS by monitoring for access to keychain databases, browser data files (cookies, logins), and shell history files. It looks for both direct file access and the use of the 'security' utility to dump keychain information.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
708
Detects the post-exploitation behavior associated with EKZ Stealer, specifically the creation of a credential-containing log file in ProgramData, followed by the rapid deletion of the file and the source stealer binary. This behavior is indicative of anti-forensic cleanup steps often used to conceal credential harvesting activities.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
105
Detects unauthorized processes attempting to access Discord's local LevelDB storage files, which are commonly targeted by info-stealing malware to extract sensitive session tokens and user data.
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Subhankar H@Andrewsec57
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Detections.ai Community
4 months ago
005
Detects unauthorized processes attempting to access sensitive browser data files (Login Data, Cookies, Web Data) that are typically used by web browsers to store credentials and session information. The rule filters out known legitimate browser processes, flagging potential credential theft or session hijacking activity.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
002
Detects activity associated with the 'MiniBrowse.exe' process, which exhibits behaviors characteristic of unauthorized browser credential and cookie harvesting. This includes targeting browser 'Login Data' files, accessing cookies, attempting to interact with legitimate browser processes (chrome.exe, msedge.exe) via cross-process operations, and writing logs to 'edgeLog.txt'.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
205
Detects instances where a process that is not a known web browser (specifically excluding chrome.exe and msedge.exe) attempts to access sensitive browser files such as Login Data, Cookies, or Local State. This behavior is indicative of unauthorized attempts to steal stored web credentials, commonly associated with infostealer malware or browser credential theft tools.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
205
Detects unauthorized processes attempting to access, modify, or create web browser data files such as 'Login Data' (credentials), 'Cookies', and 'Local State'. This rule identifies potential credential theft activity where non-browser processes interact with sensitive browser storage files, which is a common tactic used by info-stealing malware.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
0010
Detects BQTLock ransomware activity where the BQT.exe process accesses browser credential stores (Chrome, Firefox, Opera) and writes the extracted data to a temporary file at C:\Windows\Temp\bqt_passwords.txt.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
007
This rule detects unauthorized attempts to create, modify, rename, or delete sensitive browser data files (such as Login Data, Cookies, key4.db, and logins.json) used for storing credentials. It monitors for access by processes that are not known browser executables or authorized system services, which is a common indicator of credential dumping by malicious software.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
307
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