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 N0va Phishkit verification or session initialization. It looks for specific GET request URI parameters (/api/verification/init?session=, flow=, prompt_profile=) that align with the initial handshake phase of this phishing kit, which is often used for credential and session cookie theft.
Detects successful exploitation attempts targeting Vite development servers via chained access-control bypass vulnerabilities (CVE-2025-30208, CVE-2025-31125, CVE-2024-45811). The rule identifies malicious GET requests using the /@fs/ endpoint with specific query parameters, resulting in a successful HTTP 200 response, while originating from non-internal IP addresses.
This rule detects potential command and control (C2) communication related to the GhostContainer malware. It inspects HTTP POST requests directed at Microsoft Outlook Web Access (OWA) paths containing a suspicious 'x-owa-urlpostdata' header. The presence of this specific header, followed by a base64-encoded string of significant length, indicates an attempt to deliver C2 commands or exfiltrate data through OWA infrastructure.
This rule detects potential command and control (C2) communication related to the GhostContainer malware. It inspects HTTP POST requests directed at Microsoft Outlook Web Access (OWA) paths containing a suspicious 'x-owa-urlpostdata' header. The presence of this specific header, followed by a base64-encoded string of significant length, indicates an attempt to deliver C2 commands or exfiltrate data through OWA infrastructure.
This rule detects HTTP requests directed at Microsoft Exchange Outlook Web Access (OWA) that contain suspicious 'fakePath' and 'fakePageName' parameters in the URI. These parameters are indicators of the 'GhostContainer' malware attempting to establish a socket forwarding proxy through the web server to facilitate command and control communications.
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 initial beaconing registration behavior associated with the CLEANGULP malware, specifically identifying outbound HTTP POST requests to the '/beacon/pre-register' URI path. The rule monitors network device events and can identify this activity even if the adversary switches C2 infrastructure, provided the specific beaconing URI remains constant.
This rule monitors for interactions with known malicious files (by SHA256 hash), connections to confirmed C2 infrastructure (specific IP address and domains), or requests to known malicious URLs. It aggregates indicators across file, process, network, and web browsing telemetry to identify potential threats or compromised systems communicating with known attacker infrastructure.
This rule monitors for interactions with known malicious files (by SHA256 hash), connections to confirmed C2 infrastructure (specific IP address and domains), or requests to known malicious URLs. It aggregates indicators across file, process, network, and web browsing telemetry to identify potential threats or compromised systems communicating with known attacker infrastructure.
This rule monitors for interactions with known malicious files (by SHA256 hash), connections to confirmed C2 infrastructure (specific IP address and domains), or requests to known malicious URLs. It aggregates indicators across file, process, network, and web browsing telemetry to identify potential threats or compromised systems communicating with known attacker infrastructure.
Detects a two-stage pattern indicative of command-and-control (C2) communication. The rule identifies an initial request to a 'relays.json' endpoint (relay discovery) followed by a request to an 'api.php' endpoint (dispatcher decision) within a 5-second window, both using a 13-digit timestamp query string for cache-busting. It also captures single-stage 'api.php' requests as lower confidence alerts.
Detects unauthorized exfiltration of sensitive information, such as camera credentials or location data, directed to the Telegram Bot API as part of the 'Operation CameraSwarm' campaign.
Detects unauthorized exfiltration of sensitive information, such as camera credentials or location data, directed to the Telegram Bot API as part of the 'Operation CameraSwarm' campaign.
This rule detects attempts to exploit CVE-2021-33044, a vulnerability in Dahua hardware that allows an attacker to bypass authentication by sending a specially crafted request to the global.login endpoint.
This rule detects attempts to exploit CVE-2021-33044, a vulnerability in Dahua hardware that allows an attacker to bypass authentication by sending a specially crafted request to the global.login endpoint.
Detects an attempt to exploit CVE-2021-33045 in Dahua devices, where an attacker sends a malicious JSON-RPC request to bypass authentication by leveraging the 'Loopback' login type and targeting the '127.0.0.1' address in the 'ipAddr' parameter.
Detection of specific indicators associated with the GhostCode phishing kit, including scripts utilizing PBKDF2/AES-GCM for redirection decryption and a characteristic URL path pattern (/scanna/).
This rule monitors network connections and DNS queries directed towards Microsoft's OAuth device code authorization endpoints ('/common/oauth2/deviceauth' or '/device'). This flow is frequently abused by adversaries to perform device code phishing, allowing them to gain access to a victim's account without requiring the user's password or bypassing traditional MFA.
Detects incoming HTTP requests attempting to exploit a path traversal vulnerability in the GitLab Commits API (CVE-2026-85706). The rule looks for URI patterns containing directory traversal sequences (e.g., ../) targeting the repository commits endpoint.
Detects network traffic directed to the Telegram Bot API (api.telegram.org) characterized by TLS SNI indicators or specific HTTP URI structures (e.g., /bot). This behavior is indicative of malware or automated tools using the Telegram platform as a command-and-control (C2) channel for beaconing, command delivery, or data exfiltration.
Detects potential web shell installation via WordPress administrative panels. The rule identifies a WordPress administrator session executing a theme installation request triggered by an external (off-site) referer, followed shortly thereafter by the creation of new PHP files within the WordPress themes directory. This pattern is often indicative of an attacker leveraging a compromised admin session to upload a backdoor.
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