Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects outgoing network connections using the User-Agent 'ArkanixStealer/1.0', which is hardcoded in the C++ variant of the Arkanix Stealer.
This rule detects network connections to domains identified as malicious redirectors or landing pages used in a spam campaign that exploited Atlassian Jira. The domains are associated with phishing or malware distribution efforts.
Detects files associated with the Cl0p ransomware group's exploitation of the Oracle E-Business Suite vulnerability (CVE-2025-61882).
This rule detects network communication with known command and control (C2) infrastructure associated with the OysterLoader malware. It identifies C2 activity by looking for connections to specific domains and IP addresses, as well as requests to particular API paths within the RemoteUrl field.
Detects the execution of icacls.exe to grant 'Full Control' permissions to the 'Everyone' group for the 'C:\ProgramData\SimpleHelp' directory. This tactic is used by the SimpleHelp RAT to ensure it can operate without permission restrictions and facilitate persistence.
Detects the creation of specific .sys files in the C:\Windows\System32\drivers\ directory. These filenames are used by the BADIIS malware installer to stage malicious DLLs before they are moved to other locations for execution.
Sleeper-style JSP backdoor: 403.jsp or similar with Runtime.getRuntime().exec or ProcessBuilder
Detects the creation of JSON files within the '%LOCALAPPDATA%\Arkanix_lol\' directory. This folder is used by the Arkanix Stealer to stage stolen data before exfiltration, making this activity a strong indicator of infection.
This rule detects HTTP requests for 'install.sh' from the domains 'clawd.bot' or 'openclaw.ai'. These domains are associated with the OpenClaw/Clawd malware, indicating an attempt to download a malicious installation script.
This rule detects the execution of processes associated with a JWrapper-packaged SimpleHelp Remote Access Trojan (RAT). The execution from the specific 'ProgramData\JWrapper-Remote Access' directory is a strong indicator of the malicious activity described in the Cofense report. The rule specifically looks for 'Remote AccessWinLauncher.exe', 'windowslauncher.exe', and 'winpty-agent64.exe' being executed from 'C:\ProgramData\JWrapper-Remote Access'.
This rule detects various activities associated with the 'CrashFix' variant of the 'Clickfix' malware, which deploys a Python-based Remote Access Trojan (RAT). The detection logic covers several stages of the attack:
1. **Browser Extension Installation**: Identifies the creation of a specific malicious Chrome extension file (.crx) with a unique identifier.
2. **Command and Control (C2) Traffic**: Monitors network connections to known malicious URLs and IP addresses associated with the malware's C2 infrastructure.
3. **Malicious Hashes**: Detects the execution of processes with specific SHA256 hashes known to belong to the CrashFix malware.
4. **LOLBIN Abuse**: Identifies the use of living-off-the-land binaries (LOLBINs) like 'finger.exe' and 'ct.exe' in suspicious command-line combinations, potentially for discovery or execution.
5. **Malicious IP Communication**: Looks for network connections initiated by 'ct.exe' with the 'confirm' argument, indicating communication with potentially malicious remote IPs.
6. **Python TTPs**: Detects Python execution patterns, specifically 'pythonw.exe' running 'modes.py' and making outbound network connections to non-local IPs, indicative of the Python RAT.
7. **Persistence via Registry Run Key**: Monitors for registry modifications related to 'pythonw.exe modes.py', suggesting persistence mechanisms.
8. **Persistence via Scheduled Task**: Identifies the creation of scheduled tasks that execute 'run.exe' and 'udp.pyw', another persistence method.
1. **Browser Extension Installation**: Identifies the creation of a specific malicious Chrome extension file (.crx) with a unique identifier.
2. **Command and Control (C2) Traffic**: Monitors network connections to known malicious URLs and IP addresses associated with the malware's C2 infrastructure.
3. **Malicious Hashes**: Detects the execution of processes with specific SHA256 hashes known to belong to the CrashFix malware.
4. **LOLBIN Abuse**: Identifies the use of living-off-the-land binaries (LOLBINs) like 'finger.exe' and 'ct.exe' in suspicious command-line combinations, potentially for discovery or execution.
5. **Malicious IP Communication**: Looks for network connections initiated by 'ct.exe' with the 'confirm' argument, indicating communication with potentially malicious remote IPs.
6. **Python TTPs**: Detects Python execution patterns, specifically 'pythonw.exe' running 'modes.py' and making outbound network connections to non-local IPs, indicative of the Python RAT.
7. **Persistence via Registry Run Key**: Monitors for registry modifications related to 'pythonw.exe modes.py', suggesting persistence mechanisms.
8. **Persistence via Scheduled Task**: Identifies the creation of scheduled tasks that execute 'run.exe' and 'udp.pyw', another persistence method.
Detects the execution of CbsMsgApi.exe, which is the initial loader used by the REF4033 group to install the BADIIS IIS module and create a persistence service. The detection is based on the specific filename or the known imphash of the loader.
Identifies processes that first communicate with AI services and then perform a low-volume burst of file creation or deletion events. This behavioral pattern may indicate an AI-driven ransomware or wiper attack that is surgically targeting key data to evade traditional volume-based detection methods, as theorized by Check Point Research.
This rule set detects the OysterLoader malware. The first rule, 'OysterLoader_Mutex_and_TaskNames', identifies the malware based on specific mutex names, scheduled task names, and user-agent strings ('WordPressAgent' and 'FingerPrint') used by OysterLoader. The second rule, 'OysterLoader_C2_Endpoint_Strings', focuses on identifying OysterLoader by detecting specific C2 API paths used for communication with its command and control server. Both rules require the presence of a valid PE file header (MZ magic bytes).
Strings based rule for burntcigar malware
Detects file names associated with the Guloader Performance Report Pretext campaign.
This YARA rule set detects various artifacts associated with the Remcos RAT 'ClickFix' campaign. The rules identify persistence mechanisms (registry run keys or scripts involving 'Shotcut video editor', '2120206', and 'shotcut.exe' for DLL sideloading), archive or path indicators ('2120206' and 'shotcut.exe'), clipboard scripts used for dropping malware related to the Shotcut DLL sideloading technique.
Regex based Rule for burntcigar malware
Detects a specific two-step HTTP pattern characteristic of OysterLoader's initial C2 communication. The malware first sends a registration request containing a 'WordPressAgent' User-Agent string, followed by a login request with a 'FingerPrint' User-Agent string to the same destination. This version checks for the User-Agent strings in the 'AdditionalFields' column.
This rule set detects network communication associated with macOS infostealers, including C2 infrastructure, SHub stealer heartbeat and exfiltration, and ClickFix staging and landing pages. It identifies specific hostnames and URI paths used by these malicious campaigns.
Detects suspicious process execution patterns indicative of the ClickFix / CrashFix Python RAT. This rule specifically looks for 'finger.exe' or 'powershell.exe' with encoded or obfuscated commands, especially when initiated by common browser processes or explorer.exe, which aligns with social engineering techniques involving malicious copy-pasting.
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