Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a sequential pattern where a browser process (Chrome, Edge, or Safari) accesses an AI chat platform's conversation API, followed within 5 minutes by a network connection to a known unauthorized exfiltration destination (api.pbapi.xyz). This pattern suggests the potential use of a browser-based tool or extension (e.g., Poper Blocker or similar) to intercept and exfiltrate AI chat history.
Detects potential exploitation attempts targeting unpatched Citrix NetScaler ADC or Gateway devices, specifically looking for unauthenticated requests to management or sensitive endpoints that contain command execution indicators. This rule is designed to identify activity associated with vulnerabilities similar to CVE-2026-88771.
Correlates a delivered PDF attachment with the same user's browser visiting Mir0Auth C2-style paths within 4 hours. Restricted to browser processes and successful connections, excludes dev/code-hosting domains, and matches users by mailbox alias (DeviceInfo LoggedOnUsers holds UserName, not full email).
Detects P7 DarkSword implant C2 beaconing: HTTP/1.0 JSON POSTs to /beacon, /event or /a with the hardcoded iPhone OS 18_5 Safari 18.5 User-Agent. Requires the full combination of protocol version, method, URI, UA and content type, and alerts only after 3 matching requests from one source within 120 seconds (detection_filter) to suppress one-off matches.
Detects historical network connections, URL clicks, browser launches, email URLs, and process command lines associated with Wazza phishkit infrastructure IOCs including boegl-krysl.eu, coppietersrecherche.eu, and beacon-surge-sync.workers.dev.
Detects historical network connections, URL clicks, browser launches, email URLs, and process command lines associated with Wazza phishkit infrastructure IOCs including boegl-krysl.eu, coppietersrecherche.eu, and beacon-surge-sync.workers.dev.
Detects HTTP traffic associated with the Wazza phishing kit anti-bot mechanism, including token minting requests, signed token responses, and validation checks.
Detects HTTP traffic associated with the Wazza phishing kit anti-bot mechanism, including token minting requests, signed token responses, and validation checks.
Detects network traffic associated with Wazza phishkit anti-bot gates, including beacon communications, TLS SNI patterns, fingerprint iframe URIs, and challenge-platform requests.
Detects network traffic associated with Wazza phishkit anti-bot gates, including beacon communications, TLS SNI patterns, fingerprint iframe URIs, and challenge-platform requests.
Detects HTTP requests and responses associated with the Wazza phishing kit, specifically targeting the /api/wazza-config endpoint and its wildcard routing configuration JSON responses.
Detects HTTP requests and responses associated with the Wazza phishing kit, specifically targeting the /api/wazza-config endpoint and its wildcard routing configuration JSON responses.
Detects attempts to bypass authentication on Citrix NetScaler Gateway or management interfaces by using alternate URI paths, double-encoding, or path traversal techniques to reach restricted administrative endpoints. This is consistent with exploitation attempts targeting vulnerabilities like CVE-2026-19490.
Detects malicious command-and-control (C2) activity targeting Citrix NetScaler appliances (tracked as CVE-2026-88772). The rules identify specific malformed HTTP headers (NSC_LDAP, NSC_CLIENTTYPE, X-UX) used to establish a command channel, as well as potential webshell masquerading through ico-to-sig URI patterns in the /vpn/media/ path.
This Splunk query analyzes web logs to identify and categorize user agents, detecting various types of c2 frameworks. This activity can signify malicious actors attempting to interact with hosts on the network using known default configurations of command and control tools.
This Splunk query analyzes web access logs to identify and categorize non-browser user agents, detecting various types of security tools, scripting languages, automation frameworks, and suspicious patterns. This activity can signify malicious actors attempting to interact with web endpoints in non-standard ways.
Detects network activity associated with the TA419 threat group's 'Frameless' Browser-in-the-Browser (BitB) Adversary-in-the-Middle (AitM) phishing campaign. The rules identify unauthorized OAuth2 authorization requests to non-Microsoft hosts that match known malicious client IDs, the delivery of BitB overlay scripts, and the subsequent execution of malicious scripts correlated with OneDrive-themed lookalike redirects, indicating a credential theft attempt.
Detects potential scanning and exploitation attempts against Oracle PeopleSoft Environment Management Hub (PSEMHUB) endpoints, specifically targeting CVE-2026-35273. The rule monitors Azure Application Gateway logs for suspicious HTTP methods (PUT, DELETE, OPTIONS, TRACE) or parameters (e.g., directory traversal strings, command injection indicators) combined with high-frequency sequential probing patterns.
Detects an exploitation attempt against PoeLLM or LiteLLM MCP test/connection endpoint using a python3 stdio payload that fetches data from port 81.
Detects network exploitation attempts targeting Fortinet FortiOS and FortiProxy vulnerabilities (CVE-2024-55591, CVE-2025-24472) involving authentication bypass via HTTP header manipulation (Forwarded, X-Forwarded-For) and unauthorized access to the /jsconsole endpoint.
This rule detects HTTP requests containing both Content-Length and Transfer-Encoding headers, which is a technique used in HTTP Request Smuggling attacks. This specific signature targets attempts to exploit CVE-2026-88773 in Citrix NetScaler.
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