Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
532 detections
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Detects network traffic indicating the use of Slack APIs as a command and control (C2) channel or for exfiltration. The rules monitor for specific TLS SNI strings, hardcoded Slack bot tokens, and specific channel IDs associated with the 'indexed-btree' malware campaign, which utilizes Slack as a C2 platform.
Detects outbound HTTP POST requests to the Polygon blockchain using the 'eth_call' JSON-RPC method, specifically targeting a known smart contract address associated with EtherHiding-style C2 infrastructure. This behavior indicates an adversary utilizing decentralized blockchain storage or services as an unconventional command-and-control channel to resolve malicious configurations or payloads.
Detects repeated large HTTP PUT or POST requests (exceeding 5MB) from a internal host to external destinations. This pattern is indicative of potential bulk data exfiltration over web services.
Detects network beaconing activity associated with the Casbaneiro (Metamorfo) banking trojan. The rule monitors for specific C2 communication patterns, including the 'client;' string and the 'VVx-4.3' version marker, which are characteristic of this malware's host reconnaissance and command-and-control exfiltration phase.
Detects a pattern of frequent (6 or more per minute) small HTTP POST requests (up to 16KB) targeting specific sensitive API or internal URI paths. The detection logic also filters for traffic originating from a specific Microsoft Edge browser user agent string on Windows 64-bit systems, which may indicate automated data exfiltration, beaconing, or communication with a Command and Control (C2) server.
Detects a suspected malicious sequence associated with RatHat activity. The rule identifies a device fetching an injection template configuration from a remote URL, followed by the exfiltration of credentials or form data to specific API endpoints on the same device within a 15-minute window.
Detects outbound WebSocket connections from endpoints containing specific JWR phishing framework session tokens (JWRCID/JWRCVV) or known C2 path suffixes. This pattern indicates active communication with a malicious C2 server used for session hijacking or proxy-based phishing operations.
This rule detects non-browser processes initiating network connections to common file-sharing or cloud services (e.g., GitHub Gist, Telegram, Dropbox) followed by subsequent network activity from the same process within a 5-minute window. This behavior is indicative of potential command and control (C2) communication, payload retrieval, or data staging/exfiltration using legitimate web services.
Detects network activity related to the SectopRAT malware downloading a secondary module named 'WbElevation.dll' from a known command and control (C2) server. This module is typically associated with browser credential theft functionality.
Detects network activity related to the SectopRAT malware downloading a secondary module named 'WbElevation.dll' from a known command and control (C2) server. This module is typically associated with browser credential theft functionality.
Detects network activity related to the SectopRAT malware downloading a secondary module named 'WbElevation.dll' from a known command and control (C2) server. This module is typically associated with browser credential theft functionality.
This rule detects anomalies in outbound network data transfer by comparing the current daily volume of data sent to external, non-private IP addresses against the historical average for those specific sources. It alerts when the daily volume exceeds 500MB and shows a significant spike (3x or more) compared to historical baseline data or when no historical data is available for a new source connection.
This rule detects potential exfiltration of sensitive files, specifically 'cert.pem' and 'private.key', via HTTP POST requests to the '/api/adbk/upload' endpoint. This pattern is characteristic of the RatHat malware attempting to exfiltrate device credentials to a Command and Control (C2) server.
Detects outbound SMTP communication to Gmail servers containing specific indicators of compromise (sender, recipient, or subject line) associated with the LucidKnight (LucidRook) malware campaign, indicating potential reconnaissance data exfiltration.
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
Detects potential DNS tunneling or Command and Control (C2) communication patterns. The rule calculates subdomain entropy to identify unusually long or randomized subdomain labels, monitors for excessive DNS query volume per client, and flags the use of specific record types (TXT, NULL) often associated with C2 frameworks like dnscat2 or iodine.
This rule identifies potential DNS tunneling activity (often used for C2 or data exfiltration) by analyzing DNS queries for anomalous patterns. It looks for high-entropy or excessively long subdomain labels, frequent use of suspicious record types like TXT or NULL, and high query volume to a single parent domain with low diversity in resolved IP addresses.
Detects network communication to specific Gusercontent endpoints consistent with malicious browser extensions exfiltrating captured session tokens or cookies. The rule monitors for POST requests containing parameters like leadId, email, and data, often used to transmit stolen authentication material.
Detects anomalous, high-volume file download activity from SharePoint or OneDrive initiated through identified anonymous proxy services. This behavior suggests potential data exfiltration by an adversary attempting to mask their source IP address while offloading large amounts of data.
Detects outbound network traffic (HTTPS and TLS) directed at the specific S3-compatible object storage host 'ams1.vultrobjects.com'. This pattern is associated with 'HEAVYGRAM', a threat actor or toolkit using Vultr S3 buckets for potential data exfiltration.
Detects outbound TLS connections to Microsoft Dev Tunnels (devtunnels.ms), which can be abused for lateral movement or protocol tunneling of services such as RDP to bypass network ingress filtering.
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