Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
667 detections
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This rule detects potential data exfiltration to an AWS S3 bucket. It triggers on HTTP PUT requests to 's3.amazonaws.com' with a payload size greater than 10000 bytes. This could indicate an attacker uploading sensitive data from the internal network to an external S3 bucket they control.
WebDAV File Upload Exfiltration
Suricata
This rule detects potential WebDAV file upload exfiltration attempts by monitoring HTTP traffic for the 'PROPFIND' method. It uses a threshold of 10 occurrences within 60 seconds from the same source IP address to identify suspicious activity, indicating a possible attempt to enumerate or exfiltrate files via WebDAV.
This rule detects devices exhibiting high volume outbound network traffic, specifically more than 10MB of data transferred across more than 100 sessions to a single remote IP address within a one-minute window. This behavior can be indicative of data exfiltration, unauthorized data transfer, or other suspicious network activity.
This rule detects instances where a single remote IP address exhibits a high number of idle network events (more than 200 idle events) and a high total number of network events (more than 500 total events) within a one-minute interval. This pattern can be indicative of Command and Control (C2) communication, where an adversary establishes a connection and then waits for commands, or data exfiltration, where data is sent in bursts with idle periods in between. It highlights unusual network communication patterns that might suggest malicious activity.
Identifies Node.js processes downloading the Bun runtime from GitHub Releases. This behavior was observed in the vpmdhaj npm supply chain attack, where Gen-2 stagers silently downloaded Bun to execute bundled credential harvesting payloads without an immediate C2 payload drop.
Sublime Threat Intelligence and Research (STIR) identified a phishing campaign using a recently published open-source Javascript virtual machine and obfuscation tool called KrakVM. The initial KrakVM-encoded HTML file arrives as an attachment in phishing emails. These emails are short, often not even including a body, with subjects and HTML attachment filenames suggesting the target has a new voicemail, a vendor credit, or unpaid invoices
Systeminfo.exe Making Network Connection
Cortex XDR
Detects network connections originating from the systeminfo.exe process. This activity is suspicious because systeminfo.exe is a legitimate system enumeration tool not typically expected to initiate outbound network connections. This behavior has been observed in malware campaigns, such as CountLoader, which injects a cryptocurrency clipper into systeminfo.exe to communicate with C2 servers and the Ethereum blockchain.
Detects DNS lookups and outbound network connections to known PhantomRaven command and control (C2) infrastructure, including specific domains and IP addresses. The rule also specifically identifies potential data exfiltration attempts to the '/mozbra.php' endpoint.
Detects HTTP network connections to the specific exfiltration endpoint (mozbra.php) used by PhantomRaven to exfiltrate stolen CI/CD tokens and developer credentials.
This rule detects the creation of files matching the exfiltration pattern used by the Mini Shai-Hulud malware. Specifically, it looks for files named 'results-<timestamp>-<counter>.json' within a 'results' directory, accounting for both Windows and Unix path separators. This pattern is indicative of data staging or exfiltration activities by the malware.
Detects a specific combination of HTTP GET, POST, and PUT requests to the GitHub API (api.github.com) within a short timeframe. This sequence matches the behavior of the AdaptixC2 custom listener used by Tropic Trooper, which uses GitHub issues for beaconing/task polling and the contents API for data exfiltration. The detection has been refined to look for specific AdaptixC2 operational keywords ('beat', 'upload', 'download') to reduce noise.
Detects the execution of common browser executables in headless mode with command-line arguments indicative of data exfiltration, malicious rendering (dump-dom), or external requests (http/data:text/html;base64,). This activity, especially when initiated by non-standard parent processes, can be a sign of automated web scraping, vulnerability scanning, or other malicious automated browser activity.
https://github.com/blackarrowsec/redteam-research/tree/master/CVE-2026-33829
Detects the execution of the prt-scan supply chain campaign payload by identifying specific hardcoded exfiltration and reconnaissance log markers in command line arguments. These markers include 'PRT_EXFIL', 'PRT_RECON', 'PRT_HARVEST', 'PRT_DELAYED', 'PRT_GIT_AUTH', and 'PRT_LABEL_BYPASS'.
This rule detects the exposure of Kuwaiti Civil ID numbers in various log sources, including process command lines, additional device event fields, and email subjects/sender addresses. A Kuwaiti Civil ID is identified by a 12-digit number starting with 1, 2, or 3.
Detects unusual outbound network connections from ATM devices (identified by device names containing 'ATM', 'NCR', 'DIEBOLD', 'WINCOR'). The rule flags connections to public IP addresses, excluding common internal networks and standard web/DNS ports (80, 443, 53). Alerts are triggered if an ATM device shows a high number of connections, unique remote IPs, or significant data transfer, indicating potential compromise or unauthorized activity.
This rule detects the exposure of Kuwaiti Civil ID numbers in various log sources, including process command lines, additional device event fields, and email subjects/sender addresses. A Kuwaiti Civil ID is identified by a 12-digit number starting with 1, 2, or 3.
Detects high-volume data downloads (AUY) from SAP to a local frontend file, potentially indicating exfiltration.
Detects indicators of the TeamPCP LiteLLM supply chain compromise. This includes the creation or modification of specific malicious files (litellm_init.pth, tpcp.tar.gz, sysmon.py, sysmon.service), execution of commands related to persistence (systemctl for sysmon.service), data archiving (tar for tpcp.tar.gz), or direct execution of the backdoor (sysmon.py). It also identifies network connections or DNS queries to known command and control (C2) domains (models.litellm.cloud, checkmarx.zone) and HTTP requests to checkmarx.zone. Furthermore, the rule detects unauthorized AWS API calls (ListSecrets, GetSecretValue, DescribeParameters) made using the 'python-urllib' user agent, which is indicative of custom scripting rather than standard boto3 usage.
This rule detects network connections from devices to known malicious infrastructure, specifically the domain 'sfrclak.com' or the IP address '142.11.206.73'. These indicators are associated with potential compromise or command and control activity.
This detection rule identifies network activity associated with the Torg Grabber infostealer. It specifically looks for connections to known command and control (C2) domains and specific URL paths used by the malware for authentication, data upload, or core functionality. The rule leverages network proxy, firewall, or Zeek HTTP logs to extract and analyze URLs. A match indicates a strong reason to investigate the affected host and user, check for expected access, and review nearby activity for further compromise.
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