Detections

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

2,303 detections

Detects high-frequency access requests to SharePoint or OneDrive services using the 'python-httpx' library. This behavior is indicative of automated scraping or mass data retrieval often associated with malicious actors or unauthorized automated tools.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
101
Detects high-frequency TLS sessions initiated from internal hosts to Microsoft identity, Graph API, and account management endpoints. This behavior often mimics legitimate interaction but may indicate an adversary rotating infrastructure, automating reconnaissance, or interacting with C2 channels disguised as legitimate SaaS traffic.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects a multi-stage sequence of network connections to Microsoft cloud services (login.microsoftonline.com, graph.microsoft.com, and data exfiltration endpoints like sharepoint.com) consistent with Storm-3121/Storm-3032 adversary activity. This rule is designed for IDS/IPS monitoring of traffic patterns indicating authentication, reconnaissance, and potential data exfiltration from Microsoft 365 environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
101
Detects network communication associated with Mantax Otax Android malware, including traffic to identified command-and-control (C2) infrastructure and attempts to retrieve dynamic configuration files from GitHub.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
005
Detects HTTP POST requests targeting Cisco Firepower Management Center (FMC) that contain strings associated with internal service account processes or configuration files, indicative of an attempt to exploit CVE-2026-20316.
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Ali AlEnezi@site
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Detections.ai Community
1 month ago
002
Detects unauthorized HTTP Basic authentication attempts targeting Cisco Firepower Management Center (FMC) using hardcoded service account credentials associated with CVE-2026-20316.
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Ali AlEnezi@site
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Detections.ai Community
1 month ago
002
Detects outbound HTTP GET requests to a specific C2 domain 'luizestrelhashapr.online' masquerading as CSS file fetches. The request pattern uses a specific path '/google_api/' followed by predefined alphanumeric filenames, consistent with the KREMLIN malware browser extension's C2 polling mechanism.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
This rule monitors HTTP POST requests for patterns indicative of armored malware (specifically StealC) beaconing to a Command and Control (C2) server. The rule looks for established connections that use POST requests while avoiding common patterns found in standard web traffic (like JSON, XML, or standard form data) and having a specific request body size threshold. The thresholding mechanism helps reduce noise by only alerting when multiple occurrences are observed within a short time frame, suggesting automated beaconing behavior.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects outbound HTTP POST requests to a known StealC malware command-and-control (C2) endpoint. This rule monitors for established TCP connections and HTTP traffic directed towards a specific IP address associated with malicious exfiltration activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects outbound HTTP POST beaconing behavior to a known C2 IP address associated with the StealC malware and ClickFix campaign. This rule monitors for established connections to the hardcoded infrastructure used for exfiltrating data or receiving commands.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects network indicators associated with the StealC information stealer, including DNS lookups for identified C2 domains, HTTPS traffic to known C2 endpoints, and suspicious POST requests using multipart/form-data indicative of credential or session data exfiltration.
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Arnold Chan@slaz
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Hunters
1 month ago
000
Detects network indicators associated with the StealC information stealer, including DNS lookups for identified C2 domains, HTTPS traffic to known C2 endpoints, and suspicious POST requests using multipart/form-data indicative of credential or session data exfiltration.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
000
Detects network indicators associated with the StealC information stealer, including DNS lookups for identified C2 domains, HTTPS traffic to known C2 endpoints, and suspicious POST requests using multipart/form-data indicative of credential or session data exfiltration.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
000
Detects outbound HTTP POST requests directed at a known StealC command-and-control IP address. The rule identifies suspicious beaconing behavior by looking for POST requests that lack a standard User-Agent, do not utilize common HTTP content types, and contain a request body exceeding 16 bytes, suggesting custom binary protocol usage.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
000
Detects outbound HTTP POST requests directed at a known StealC command-and-control IP address. The rule identifies suspicious beaconing behavior by looking for POST requests that lack a standard User-Agent, do not utilize common HTTP content types, and contain a request body exceeding 16 bytes, suggesting custom binary protocol usage.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
000
Detects anomalous HTTP CONNECT proxy handshake requests and responses associated with Tengu malware. The rule monitors for 'HTTP/1.1 200 Connection Established' and 'HTTP/1.1 407 Proxy Auth Required' responses initiated from internal hosts, as well as outgoing HTTP CONNECT requests containing a 'Proxy-Authorization' header that match established Tengu bot proxy patterns.
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Tim Peck@timpeck
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Detections.ai Community
2 months ago
419
Detects unauthorized or suspicious POST requests to the Cisco Firepower Management Center (FMC) web interface that lack standard authentication headers (Cookie, Authorization, or X-Api-Token). This pattern is consistent with exploit attempts targeting CVE-2026-20079.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
006
Detects network traffic initiated by the WeaselBiscuit loader targeting api.npoint.io, a known free JSON storage service often abused by adversaries as a dead drop resolver for Command and Control (C2) configurations or secondary payloads.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
000
Detects network traffic initiated by the WeaselBiscuit loader targeting api.npoint.io, a known free JSON storage service often abused by adversaries as a dead drop resolver for Command and Control (C2) configurations or secondary payloads.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
000
Detects network traffic initiated by the WeaselBiscuit loader targeting api.npoint.io, a known free JSON storage service often abused by adversaries as a dead drop resolver for Command and Control (C2) configurations or secondary payloads.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
000
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.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
004
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