Arnold Chan
@slazTrusted contributorCompletionist
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This rule monitors network connections and DNS query responses for activity associated with known suspicious domains: 'getmacouscloud.com', 'ferncore13.com', and 'grove-89.com'. It identifies communication attempts (successes, failures, or DNS lookups) between endpoints and these domains, which is indicative of potential command and control (C2) activity.
This rule detects command-line activity where a remote resource is downloaded via 'curl', decoded using 'base64', and then piped directly into a shell interpreter (sh, bash, or zsh). This pattern is commonly used in fileless execution or stage-one payload delivery by attackers to execute malicious scripts directly from memory.
Detects unauthorized attempts to manipulate cgroup files (e.g., cgroup.procs) within Kubernetes pods using kubectl exec/attach sessions. This technique is often associated with SPIRE attestation spoofing or container escape attempts where an attacker attempts to influence process management or isolation constraints from within the container via the Kubernetes API.
Detects potential data exfiltration activity where a host is communicating with the Telegram Bot API. The rule identifies high-frequency connections to api.telegram.org and inspects HTTP URIs for signs of Telegram Bot token usage combined with 'sendDocument' or 'sendPhoto' commands, which are common indicators of malicious exfiltration.
Detects outbound network traffic associated with the Tailscale VPN protocol, specifically identifying potential unauthorized or personal tailnet communication channels. The detection monitors for TLS SNI strings ending in '.ts.net' and WireGuard handshakes on UDP port 41641. These indicators are common to all Tailscale client activity and require environment-specific exclusions of sanctioned Tailscale infrastructure to minimize noise.
This rule monitors network traffic, DNS queries, and user web clicks to detect interactions with known malicious domains associated with credential harvesting and phishing campaigns, specifically those impersonating security or SSO portals.
KQL Query
Detects browser extension manifest.json files requesting declarativeNetRequest and content_scripts/host_permissions covering AI assistant vendor domains (BragJack attack class)
Detects instances where a browser process (chrome.exe) accesses the microphone or camera within a 2-minute temporal window of communicating with 'gemini.google.com'. This rule is intended to identify potential unauthorized use of system peripherals in the context of an AI-agent session.
Detects instances where browser processes (chrome.exe or comet.exe) create multiple screenshot-related files in quick succession without apparent user interaction, a behavior pattern observed in the BragJack attack chain associated with hijacked browser AI agents.
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