Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the specific C2 handshake pattern associated with HVNC (Hidden Virtual Network Computing) remote access trojans. The rule monitors for a unique sequence of markers, specifically CLIENT_ID, COMPUTER, IDENTIFIER_CHANNEL, and a version string, indicating a malware-specific communication protocol.
This rule correlates email sender activity with network, cloud, and identity logs by matching traffic against a specific IP range (160.79.104.0/21) identified as malicious or suspicious. The rule flags instances where this range appears as an email sender IP or as a remote/source IP address across various infrastructure indices, potentially indicating adversary communication or exfiltration.
This rule monitors various logs (email, entra, device, graph, cloud) for IP addresses (source or remote) that match a specific CIDR range (160.79.104.0/21). This is typically used to identify traffic originating from or communicating with infrastructure identified as malicious or suspicious by threat intelligence.
This rule monitors various logs (email, entra, device, graph, cloud) for IP addresses (source or remote) that match a specific CIDR range (160.79.104.0/21). This is typically used to identify traffic originating from or communicating with infrastructure identified as malicious or suspicious by threat intelligence.
This rule monitors various logs (email, entra, device, graph, cloud) for IP addresses (source or remote) that match a specific CIDR range (160.79.104.0/21). This is typically used to identify traffic originating from or communicating with infrastructure identified as malicious or suspicious by threat intelligence.
This rule monitors for internal network connection attempts initiated by the 'mcp-grafana' process to destinations it has not contacted in the previous 14 days. By establishing a baseline of legitimate data source connections, the rule alerts when the process performs a rapid fan-out or discovery against multiple new internal hosts, which may indicate unauthorized network reconnaissance or lateral movement attempts by the Grafana service.
This rule identifies a discrepancy between actual network connections processed by HAProxy and the corresponding entries in its server-side logs. Such inconsistencies can indicate the presence of a malicious backdoor compiled into or injected into the HAProxy process, designed to facilitate C2 traffic while evading standard monitoring by suppressing or omitting logging for those connections.
Detects network connection attempts or established connections to a specific remote IP (103.141.13.26) on UDP port 3479. This pattern is often associated with command and control infrastructure or unauthorized data communication.
Detects network activity associated with the ProRAM C2 infrastructure. The rule monitors for DNS resolutions, TLS SNI field matches, and specific HTTP WebSocket upgrade patterns directed towards the 'clash-verge-upgrade.com' domain.
Detects anomalous outbound HTTP traffic directed to /cli/check containing a specific 'X-CLI-Token' header value. This pattern is indicative of a Command and Control (C2) beaconing mechanism used by a compromised CLI tool or supply chain implant to verify connectivity or receive instructions.
Detects network activity (TCP, DNS, and HTTP) directed towards a known rogue infrastructure IP identified in a supply chain compromise affecting the Coder registry. The rule alerts on attempts to resolve or communicate with this infrastructure to download backdoored Terraform modules or interact with malicious resources.
Detects network activity (TCP, DNS, and HTTP) directed towards a known rogue infrastructure IP identified in a supply chain compromise affecting the Coder registry. The rule alerts on attempts to resolve or communicate with this infrastructure to download backdoored Terraform modules or interact with malicious resources.
This rule detects potential automated web scraping activity by identifying high-volume, repetitive network requests directed towards domains identified as government (.gov) or military (.mil). It correlates these network patterns with the execution of common browser automation frameworks (e.g., Puppeteer, Playwright) or headless browsers, indicating a likely coordinated scraping operation or bot activity.
This rule identifies a discrepancy between actual network connections processed by HAProxy and the corresponding entries in its server-side logs. Such inconsistencies can indicate the presence of a malicious backdoor compiled into or injected into the HAProxy process, designed to facilitate C2 traffic while evading standard monitoring by suppressing or omitting logging for those connections.
Detects HTTP traffic patterns associated with the JSCeal malware family, specifically focusing on the exfiltration of crypto wallet information and account balances. The rule identifies communication to suspicious domains, unauthorized access to balance field names, and the masquerading of traffic to impersonate legitimate exchanges like Binance.
Detects HTTP traffic patterns associated with the JSCeal malware family, specifically focusing on the exfiltration of crypto wallet information and account balances. The rule identifies communication to suspicious domains, unauthorized access to balance field names, and the masquerading of traffic to impersonate legitimate exchanges like Binance.
Detects network requests targeting Dahua devices that attempt to exploit CVE-2021-33044. The exploitation involves sending a crafted 'global.login' RPC call with specific parameters (clientType 'NetKeyboard', loginType 'Direct', authorityType 'Default') to bypass authentication and retrieve administrative session tokens.
Detects network requests targeting Dahua devices that attempt to exploit CVE-2021-33044. The exploitation involves sending a crafted 'global.login' RPC call with specific parameters (clientType 'NetKeyboard', loginType 'Direct', authorityType 'Default') to bypass authentication and retrieve administrative session tokens.
Detects anomalous command-line arguments and process injection behaviors associated with the Sogou IME protocol handler (biz_helper.exe). The rule monitors for malicious argument injection (e.g., embedded scripts, URLs pointing to non-Sogou domains) and correlates these events with suspicious child processes or network activity, consistent with techniques observed in the GRAYRABBIT / UNC3569 threat activity.
Detects anomalous command-line arguments and process injection behaviors associated with the Sogou IME protocol handler (biz_helper.exe). The rule monitors for malicious argument injection (e.g., embedded scripts, URLs pointing to non-Sogou domains) and correlates these events with suspicious child processes or network activity, consistent with techniques observed in the GRAYRABBIT / UNC3569 threat activity.
This rule monitors network traffic from internal devices and security logs for communication with a curated list of known malicious or suspicious scanner IP addresses, indicating potential reconnaissance or probing activity by external actors.
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