Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects network traffic indicative of the SCKIT MemTensor worm establishing a command-and-control (C2) beacon. The detection identifies TLS connections where the Server Name Indication (SNI) matches a specific pattern of a 12-character hexadecimal string followed by .skyleen.fr.
This rule detects network traffic indicative of the SCKIT MemTensor worm establishing a command-and-control (C2) beacon. The detection identifies TLS connections where the Server Name Indication (SNI) matches a specific pattern of a 12-character hexadecimal string followed by .skyleen.fr.
This rule detects network traffic indicative of the SCKIT MemTensor worm establishing a command-and-control (C2) beacon. The detection identifies TLS connections where the Server Name Indication (SNI) matches a specific pattern of a 12-character hexadecimal string followed by .skyleen.fr.
This rule detects network traffic patterns associated with the Sauron Loader malware family. It specifically identifies outbound HTTPS beaconing to known malicious C2 domains using the TLS SNI (Server Name Indication) field.
Detects potential misuse of the WinGet configuration feature, where remote Desired State Configuration (DSC) YAML files are retrieved using masqueraded file extensions (e.g., .jpg or .txt) or suspicious outbound connections on port 8443, which may indicate an adversary attempting to hide malicious configurations or bypass network filtering.
Detects outbound network traffic (TLS and HTTP) destined for the Telegram Bot API (api.telegram.org). This pattern is often used by malicious actors for Command and Control (C2) communication, bot notifications, or data exfiltration, leveraging the legitimate Telegram infrastructure to hide malicious activity.
Detects network activity associated with the KREMLIN browser extension communicating with a known command and control domain (luizestrelhashapr.online). The rule monitors DNS queries, TLS SNI connections, and HTTP WebSocket upgrade requests to identify potential C2 communication.
Detects outbound network traffic from internal hosts to public Telegram Bot API or Slack webhooks, indicative of potential data exfiltration by the npm indexed-btree malware or similar malicious actors utilizing these services for command and control or exfiltration.
Detects potential Command and Control (C2) beaconing activity associated with Xray-core, where the TLS Server Name Indication (SNI) field is spoofed to 'dl.google.com' to masquerade malicious traffic as legitimate Google-related traffic.
Detects network activity initiated by Node.js processes towards specific Infura and Alchemy RPC endpoints for the Sepolia testnet, including specific JSON-RPC queries containing potential malicious contract addresses. This pattern is indicative of C2 communication using legitimate Web3 infrastructure.
Detects network traffic associated with the malicious npm package 'indexed-btree', which uses the Telegram Bot API to exfiltrate data. The rules monitor for connections to api.telegram.org via HTTPS and identify specific hardcoded bot tokens and chat IDs associated with the malicious campaign.
Detects outbound network traffic from internal hosts to Telegram shortened URLs (t.me). The detection looks for TLS SNI strings or HTTP requests targeting t.me domains, specifically focusing on non-browser user-agent strings which are indicative of Vidar-style malware using Telegram as a dead-drop resolver for C2 operations.
Detects outbound network traffic (TLS and DNS queries) directed towards AWS S3 endpoints, which may indicate the use of s5cmd or similar tools for unauthorized data exfiltration to cloud storage.
Detects network traffic to the domain 'trace-flow.ru', which is associated with the 'Max Messenger' malware's concealed telemetry and C2 channel. The rules monitor for TLS connections to this domain, including instances where the certificate subject contains 'VK LLC' and 'Moscow'.
This rule monitors for DNS queries and TLS certificate attributes associated with the SilkParasite threat actor. The rule specifically targets domains that impersonate Central Asian government entities and monitors for suspicious TLS certificate issuers and subjects, indicating potential C2 infrastructure or phishing activity.
Detects network communication associated with the SilkParasite campaign. This includes detection of TLS traffic using self-signed LokiDev certificates (CN=localhost, O=LokiDev), direct connections to known malicious C2 IP addresses, and DNS queries for the domain normativ.dushanbeidc.org, which is linked to the LokiDev infrastructure.
Detects network communication associated with the SilkParasite campaign, specifically identifying TLS traffic using fraudulent certificates impersonating the Uzbekistan railway authority (azure.uzrailwaystax.com) and connections to identified malicious infrastructure using specific JA4X TLS fingerprinting.
Detects outbound RDP-over-TLS connections using non-standard high-numbered ports (64350, 64330, 65535, 65111, 61256), characteristic of SilkParasite command and control infrastructure. The rules trigger on known C2 IP addresses and general suspicious RDP behavior on these specific ports.
Detects network traffic attempting to impersonate the Uzbekistan railway authority via suspicious TLS certificates. The rules identify specific SNI domains, certificate subjects, and issuers associated with the 'SilkParasite' campaign, which uses Chinese state-affiliated certificate authorities to facilitate C2 communications.
Detects RDP-over-TLS/NLA traffic occurring over non-standard high ports, which is often indicative of C2 communication or lateral movement associated with the SilkParasite infrastructure cluster.
Detects outbound TLS-encrypted network traffic directed towards known SilkParasite infrastructure using non-standard high ports commonly associated with RDP-over-TLS (NLA). The rule identifies potential Command and Control (C2) activity by flagging connections to suspicious IP/port combinations typical of this adversary cluster.
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