Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

2,431 detections

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.
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Arnold Chan@slaz
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Hunters
26 days ago
007
Detects connections from internal hosts to the ARTEX-linked actor host 38.244.50.120, including requests for the exposed .claude/CLAUDE.md file and its open-directory port 18899.
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Arnold Chan@slaz
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Midnight Slayer
22 days ago
002
Detects HTTP responses and requests involving exposed Claude Code open directories (.claude/CLAUDE.md) tied to ARTEX operator infrastructure.
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Arnold Chan@slaz
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Detection & Hunting Community
22 days ago
002
Detects HTTP traffic associated with the Wazza phishing kit anti-bot mechanism, including token minting requests, signed token responses, and validation checks.
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Arnold Chan@slaz
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Detections.ai Community
22 days ago
002
Detects a multi-stage Wazza phishkit communication chain over HTTP, involving initial configuration retrieval, token minting, token firing, and subsequent redirection with signed tokens.
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Arnold Chan@slaz
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Midnight Slayer
22 days ago
002
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.
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Arnold Chan@slaz
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Detection & Hunting Community
22 days ago
002
Detects an exploitation attempt against PoeLLM or LiteLLM MCP test/connection endpoint using a python3 stdio payload that fetches data from port 81.
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Arnold Chan@slaz
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Hunters
22 days ago
002
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.
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Arnold Chan@slaz
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Detection & Hunting Community
26 days ago
005
Detects outbound HTTP requests to a known C2 domain (letsdiskuss.com) and a specific URI path, characteristic of the 'Lorem Ipsum' malware loader's dead-drop resolver lookup.
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Ibrahim Saud@tektrix
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Detections.ai Community
29 days ago
009
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.
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Arnold Chan@slaz
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Detection & Hunting Community
19 days ago
000
Detects HTTP traffic associated with the Wazza phishing kit anti-bot mechanism, including token minting requests, signed token responses, and validation checks.
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Arnold Chan@slaz
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Hunters
22 days ago
001
Detects HTTP traffic associated with the Wazza phishing kit anti-bot mechanism, including token minting requests, signed token responses, and validation checks.
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Arnold Chan@slaz
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Midnight Slayer
22 days ago
001
Detects network traffic associated with Wazza phishkit anti-bot gates, including beacon communications, TLS SNI patterns, fingerprint iframe URIs, and challenge-platform requests.
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Arnold Chan@slaz
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Hunters
22 days ago
001
Detects network traffic associated with Wazza phishkit anti-bot gates, including beacon communications, TLS SNI patterns, fingerprint iframe URIs, and challenge-platform requests.
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Arnold Chan@slaz
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Midnight Slayer
22 days ago
001
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.
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Arnold Chan@slaz
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Midnight Slayer
22 days ago
001
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.
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Arnold Chan@slaz
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Hunters
22 days ago
001
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
2011
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.
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Arnold Chan@slaz
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Detections.ai Community
26 days ago
004
Detects an exploitation attempt against PoeLLM or LiteLLM MCP test/connection endpoint using a python3 stdio payload that fetches data from port 81.
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Arnold Chan@slaz
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Detection & Hunting Community
22 days ago
001
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.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
1018
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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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
0011
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