Detections

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

379 detections

Detects the use of the FTP STOR command to transfer files with sensitive extensions (.docx, .pdf, .xlsx, .zip, .7z) to external networks. This behavior is indicative of potential data exfiltration via an unencrypted alternative protocol.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects outbound HTTP POST requests where the Content-Length is at least 10MB and the Content-Type header indicates the transfer of archived data (zip or x-tar). This pattern is often associated with the staging and exfiltration of compressed sensitive data from an internal host to an external network destination.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects outbound FTP traffic containing the 'STOR' command, which is used in the FTP protocol to upload files to a remote server. This behavior is a common indicator of unauthorized data exfiltration.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects the WinSCP utility initiating an outbound network connection to port 22 (SFTP/SCP). This behavior is often associated with post-compromise activity where adversaries use legitimate file transfer tools to exfiltrate data to attacker-controlled infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Hunting rule for tar archive creation of user home trees, common staging before scp/rsync exfiltration over SSH. Prioritize /tmp archives and remote copy in the same session.
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Danny Y@zendannyy
CrowdStrike Logscale
4 months ago
203
Hunting rule for tar archive creation of user home trees, common staging before scp/rsync exfiltration over SSH. Prioritize /tmp archives and remote copy in the same session.
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Danny Y@zendannyy
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Detections.ai Community
4 months ago
003
This rule detects potential data exfiltration attempts by monitoring for network connections to URLs containing suspicious substrings (bit, onion, .cc, .su) over common web and DNS ports (53, 80, 443, 8080). It flags high-frequency unique connection attempts from a single device, which may indicate command-and-control (C2) traffic or data exfiltration over covert channels.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
308
This rule monitors for malicious Chrome extension activity involving the redirection of address bar inputs to an unauthorized domain (perplexity-ai.online). It identifies indicators of compromise across device network logs (connectivity to the malicious C2), file system events (presence of the identified malicious extension identifier), and generic device events (log entries containing the malicious extension ID or C2 URL). This pattern is indicative of a browser-based keystroke exfiltration attack.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects anomalous activity associated with information stealing malware, including unauthorized access to browser credential files (Login Data, Cookies), remote thread injection into browser processes, outbound connections to the Telegram API by non-browser processes, and rapid bulk access to multiple sensitive credential or crypto wallet files.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
306
This rule detects potential web shell activity on Windows IIS servers by monitoring for suspicious process creation and file write events originating from the w3wp.exe worker process. Specifically, it flags when w3wp.exe spawns command shells (cmd, powershell), database management utilities (sqlcmd, osql), or network discovery/transfer tools (curl, wget, certutil, bitsadmin). It also detects the creation or modification of common web shell file extensions (.aspx, .ashx, .asmx) within web root directories.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects malicious browser extension activity related to the StegoAd infostealer. The rule identifies a dual-indicator pattern consisting of outbound network connections to 'mitarchive.info' combined with concurrent read access to browser-specific credential store files (Google Chrome, Microsoft Edge, Mozilla Firefox) on the same host.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects the use of native network utilities (wget.exe, curl.exe) executing with flags indicative of file uploads (HTTP PUT or POST) targeting archive files (zip, rar, 7z). This behavior is often associated with the direct exfiltration of staged data to attacker-controlled infrastructure.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
007
Detects a sequence of events indicative of data exfiltration: an unknown process creates an image file in a temporary folder, followed by the creation of an archive file (ZIP/RAR) by the same or a related process within 10 minutes, and concludes with a successful outbound network connection to a non-private IP address from the same device.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
006
This rule correlates multiple low-to-medium confidence signals across file, process, network, and registry events to detect potential ransomware activity. The rule identifies suspicious behaviors including mass file renames, creation of known ransom note file types in multiple directories, shadow copy deletion via system utilities, disabling of antivirus and security monitoring, large archive staging, unauthorized outbound network connections, and suspicious process injection. Alerts are generated based on the aggregation and frequency of these signals, indicating a high probability of ransomware-related malicious activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
105
Tracks network connections from non-browser processes that transmit an abnormally large volume of outbound bytes, indicating active data exfiltration. This rule specifically excludes common browser processes (chrome.exe, msedge.exe, firefox.exe) and OneDrive (onedrive.exe) to reduce false positives. It aggregates outbound network activity over 10-minute intervals and flags any instance where the total outbound bytes exceed 100MB.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
309
Detects outbound network connections to 'stitch-production.org' or connections by node/bun runtime processes to GitHub API or 'stitch-production.org', which may indicate command and control communication or data exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
This rule detects potential data staging and exfiltration behavior characterized by large volumes of outbound network data combined with high frequency file write operations across multiple file types. It monitors Sysmon Event IDs 3 (Network connection) and 11 (FileCreate) to identify indicators often associated with pre-encryption staging by ransomware or data theft campaigns.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects potential data staging and exfiltration behavior characterized by large volumes of outbound network data combined with high frequency file write operations across multiple file types. It monitors Sysmon Event IDs 3 (Network connection) and 11 (FileCreate) to identify indicators often associated with pre-encryption staging by ransomware or data theft campaigns.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects outbound proxy traffic originating from identified AI and automation agent user-agents (e.g., ChatGPT, Perplexity, Claude, etc.) attempting to access sensitive URI paths, such as credential files, SSH keys, configuration files, or cloud-hosted secrets. This may indicate an attempt to exfiltrate sensitive data to or through AI platforms.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects outbound HTTP POST requests where the Content-Length header indicates a data transfer of 5MB or greater. This pattern is indicative of potential unauthorized data exfiltration over the web protocol.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects the outbound transmission of email attachments via SMTP (ports 25 and 587) that contain archived file formats (zip, 7z, tar.gz, tgz). Attackers often compress collected data into archives to facilitate exfiltration and minimize the time required for data transfer.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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