Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects indicators of Adversary-in-the-Middle (AiTM) phishing infrastructure, specifically targeting Evilginx2 and similar proxy frameworks. It identifies unauthorized execution of Evilginx2 binaries, the presence of specific session and configuration files (.evilginx/, phishlets, session databases), unauthorized modifications to Nginx configurations, and the dropping of suspicious HTML lure files into web document roots by scripting interpreters.
Detects instances where the legitimate Windows utility 'Fondue.exe' (Features on Demand) loads the control panel library 'APPWIZ.cpl' from non-standard locations such as C:\Users\Public or AppData directories. It also identifies the staging phase where 'APPWIZ.cpl' is written to 'C:\Users\Public', which is indicative of a DLL side-loading attack sequence, often associated with the Elephant malware dropper.
Detects unauthorized access (creation, modification, renaming, or deletion) to sensitive local credential files by the Node.js runtime process (node.exe/node). This behavior is indicative of infostealers, specifically noted in the Miasma/MYRA activity associated with the Polymarket Trap campaign, where malicious packages attempt to exfiltrate AWS, SSH, NPM, Python, Docker, and GPG credentials.
Detects a specific command-line pattern used by the Amadey loader to perform self-relocation. The process chain executed via cmd.exe includes 'taskkill', 'timeout', 'del', and 'ren' in a single command line to terminate, delete, rename, and relaunch its executable from a user-writable directory to maintain persistence and evade detection.
Detects instances where PowerShell is invoked with an execution policy bypass flag to copy the 'curl.exe' binary from its legitimate System32 location to user-writable directories (such as AppData, Temp, or Public folders) and renaming it. This activity is often associated with adversaries attempting to evade security controls by masquerading legitimate system utilities.
Detects indicators of Akira ransomware activity, including execution of the binary, dropping of ransom notes, renaming of files with .akira extension, and the use of vssadmin to delete volume shadow copies.
This rule correlates rapid file modifications (potential encryption or mass deletion) with the execution of commands known to inhibit system recovery (e.g., deleting shadow copies or modifying boot recovery settings) and significant outbound network data transfers from the same host. This pattern is characteristic of ransomware deployment.
Detects instances where processes not associated with standard web browsers (e.g., node.exe) attempt to create, modify, or rename browser-related sensitive files, specifically cookie databases and DPAPI-protected Local State files. Such activity is often indicative of credential and session cookie theft.
Detects instances where the legitimate Windows utility 'Fondue.exe' (Features on Demand) loads the control panel library 'APPWIZ.cpl' from non-standard locations such as C:\Users\Public or AppData directories. It also identifies the staging phase where 'APPWIZ.cpl' is written to 'C:\Users\Public', which is indicative of a DLL side-loading attack sequence, often associated with the Elephant malware dropper.
Detects the creation or loading of specific DLL files identified as part of the Turla STOCKSTAY malware framework. The rule monitors both file system operations (creation, modification, renaming) and process image loads to identify indicators of this specific campaign.
Uses time-series aggregation to detect massive bursts of file renaming events across user directories, where files are appended with the .nightspire extension.
Detects the opening of suspected APT28 (Fancy Bear) spearphishing lure documents by Microsoft Office or Outlook. The rule monitors for file access, creation, or renaming events where the filename matches known lure patterns associated with APT28 activities, such as naming conventions containing 'BULLETEN', 'OperInformativ', 'Courses', 'Consultation', 'Weapons', or 'Smuggling' in Word or Outlook processes.
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.
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 unauthorized access, creation, or modification of browser-specific sensitive credential files (such as 'Login Data' or 'cookies.sqlite') by processes that are not recognized web browsers or trusted update services. This behavior is a common indicator of information-stealer malware attempting to harvest session cookies and stored credentials.
Detects attempts to extract the Security Account Manager (SAM) database, either by using the 'reg save' utility to export registry hives containing the SAM or by directly creating/modifying the SAM file on disk outside of known legitimate system processes.
This rule detects a high frequency of file rename or modification events targeting files with extensions commonly associated with ransomware. It filters out activity from processes signed by trusted vendors like Microsoft, Symantec, Sophos, and Trend Micro to reduce noise, flagging mass rename operations that could indicate an active ransomware encryption process.
This rule detects indicators of Adversary-in-the-Middle (AiTM) phishing infrastructure, specifically targeting Evilginx2 and similar proxy frameworks. It identifies unauthorized execution of Evilginx2 binaries, the presence of specific session and configuration files (.evilginx/, phishlets, session databases), unauthorized modifications to Nginx configurations, and the dropping of suspicious HTML lure files into web document roots by scripting interpreters.
Detects unauthorized access or modification to common CI/CD credential files (.npmrc, .pypirc, .git-credentials, jenkins credentials.xml) and CI/CD configuration files (.github/workflows, .gitlab-ci.yml). The rule monitors both file system activities by non-standard processes and the execution of command-line tools that reference these sensitive files.
Detects unauthorized access or modification to common CI/CD credential files (.npmrc, .pypirc, .git-credentials, jenkins credentials.xml) and CI/CD configuration files (.github/workflows, .gitlab-ci.yml). The rule monitors both file system activities by non-standard processes and the execution of command-line tools that reference these sensitive files.
This rule detects unauthorized processes attempting to create, modify, rename, or delete the 'Login Data' SQLite database files used by Google Chrome and Microsoft Edge to store saved credentials. By excluding legitimate browser processes and updates, the rule identifies potential credential theft attempts by infostealer malware or unauthorized actor tools.
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