Arnold Chan
@slazTrusted contributorCompletionist
2 followers2,099 downloads4,383 copies51 likes26,115 views
7,555 detections
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Detects incoming HTTP POST requests to the GitLab '/import' endpoint that attempt to access the internal cloud metadata service (169.254.169.254), indicating an exploitation attempt for vulnerabilities such as CVE-2021-22175 or CVE-2021-39935.
Detects HTTP GET requests to the GitLab project repository commits API that contain path traversal sequences ('../' or encoded variations). This behavior is characteristic of exploitation attempts targeting vulnerabilities that allow unauthorized file access or directory traversal within the GitLab environment.
Detects HTTP GET requests to the GitLab project repository commits API that contain path traversal sequences ('../' or encoded variations). This behavior is characteristic of exploitation attempts targeting vulnerabilities that allow unauthorized file access or directory traversal within the GitLab environment.
Detects multiple successful GitLab authentication events from a specific source IP that contain parameters indicating an attempt to skip or bypass two-factor authentication, consistent with known GitLab 2FA bypass vulnerabilities.
Detects attempts to exploit CVE-2023-2825, a path traversal vulnerability in GitLab. The rule monitors HTTP GET requests to the /uploads/ endpoint containing directory traversal sequences (e.g., ../ or encoded variants) in the URI, indicating an effort to access restricted files on the system.
This rule detects command line patterns associated with common Impacket tools (wmiexec, psexec, smbexec) executed via Windows processes (cmd.exe, powershell.exe) or via network connections to ports 445 and 135 initiated by Python processes. These tools are frequently used by adversaries for lateral movement, remote service execution, and command execution on compromised systems.
Detects Java-based Metasploit/Meterpreter payload files (.class/.jar) dropped post-exploitation, as observed following PaperCut RCE exploitation chain
Detects high-volume deletion or recycling of files within OneDrive or SharePoint for a specific user, which may indicate malicious activity such as data destruction, ransomware, or unauthorized data exfiltration staging.
Detects high-volume deletion or recycling of files within OneDrive or SharePoint for a specific user, which may indicate malicious activity such as data destruction, ransomware, or unauthorized data exfiltration staging.
Detects high-volume deletion or recycling of files within OneDrive or SharePoint for a specific user, which may indicate malicious activity such as data destruction, ransomware, or unauthorized data exfiltration staging.
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