Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects lateral movement activity where a host identified as running the Langflow framework attempts to connect to internal MySQL (3306) or Nacos (8848) services while utilizing root credentials, potentially indicating an attacker pivoting from a compromised application server.
Detects lateral movement activity where a host identified as running the Langflow framework attempts to connect to internal MySQL (3306) or Nacos (8848) services while utilizing root credentials, potentially indicating an attacker pivoting from a compromised application server.
This rule monitors network connection logs, DNS query logs, and common security logs for known indicators of compromise, specifically IP addresses and domains associated with command and control (C2) infrastructure.
Detects outbound TLS traffic to known remote access and management software domains (e.g., ScreenConnect, AnyDesk, TeamViewer), which are frequently abused by adversaries for establishing Command and Control (C2) channels.
Detects outbound WebSocket upgrade requests from internal network assets to known IronToll C2 IP addresses, restricted to requests whose Host header ends in one of the disposable TLDs observed across the campaign's 73+ rotating lookalike domains (.cfd, .sbs, .shop, .icu, .buzz, etc). This narrows the alert to the campaign's actual phishing-domain pattern rather than any WebSocket traffic that happens to reach the same shared Tencent/Alibaba cloud IPs, and a per-source threshold caps repeat alerts from the same host to one per hour.
Detects TCP connections on standard web ports from internal hosts to known IronToll C2 IPs on Tencent/Alibaba Cloud. Scoped to web ports and an established handshake, with a per-source hourly alert cap to reduce repeat noise.
Detects DNS queries, TLS SNI, and HTTP Host header traffic associated with the IronToll phishing campaign. The rule specifically monitors for government-impersonating domains and lookalike domains utilizing various non-standard top-level domains (TLDs).
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.
This rule detects potential phishing activity by correlating specific email subjects or sender addresses with subsequent user clicks on suspicious links. It identifies when users receive emails with subjects related to invoices or payment confirmations, or from specific known-bad sender domains, and then follows up by tracking interactions (clicks) with domains or patterns associated with the phishing lures (SharePoint, Adobe, verification, or device code login URLs).
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 browser activity where a user agent navigates to common webmail services (Gmail, Outlook) followed quickly by network traffic to potentially malicious external infrastructure or non-standard endpoints, suggesting unauthorized email content exfiltration.
Detects browser activity where a user agent navigates to common webmail services (Gmail, Outlook) followed quickly by network traffic to potentially malicious external infrastructure or non-standard endpoints, suggesting unauthorized email content exfiltration.
Detects browser activity where a user agent navigates to common webmail services (Gmail, Outlook) followed quickly by network traffic to potentially malicious external infrastructure or non-standard endpoints, suggesting unauthorized email content exfiltration.
Detects high-frequency, automated interactions with popular AI assistant web interfaces (e.g., Gemini, Perplexity, Claude, Copilot) from common browser processes. This pattern often indicates unauthorized automated data submission or scraping, which may follow or facilitate automated exfiltration of browser-resident data.
Detects coordinated behavioral signals associated with the CVE-2025-25249 campaign, which deploys the PivotC2 Node.js RAT on FortiGate devices. The rule correlates anomalous inbound CAPWAP (UDP/5246) traffic, Node.js process execution, suspicious JavaScript file writes, and unauthorized access to Fortinet configuration files, followed by long-lived outbound TLS beacons to non-standard ports.
Detects network communication with domains and IP addresses known to be associated with 'ClickFix' social engineering campaigns (specifically those masquerading as legitimate HBO Max or macOS related updates). The rule applies a strict correlation between observed malicious IP traffic and specific DNS requests to reduce noise from IP address reuse or threat intelligence feed probes, while also excluding known security-related processes.
Detects network communication with domains and IP addresses known to be associated with 'ClickFix' social engineering campaigns (specifically those masquerading as legitimate HBO Max or macOS related updates). The rule applies a strict correlation between observed malicious IP traffic and specific DNS requests to reduce noise from IP address reuse or threat intelligence feed probes, while also excluding known security-related processes.
HBO Max ClickFix attacks IOC Hunt
Cortex XDR
Detects network activity (DNS queries or direct IP communication) associated with 'ClickFix' social engineering attacks targeting users under the guise of an HBO Max update or repair utility. The rule includes indicators for known malicious domains and IP addresses while incorporating filters to minimize false positives from security scanners, threat intel feeds, and automated crawlers by analyzing User-Agent strings and network source addresses.
Detects outbound network traffic from internal hosts to known MeshCentral Command and Control (C2) infrastructure. MeshCentral is legitimate remote monitoring and management (RMM) software that is frequently abused by threat actors to maintain persistent remote access to victim environments. This rule monitors for established TCP connections on specific ports associated with MeshCentral C2 nodes.
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