Detections

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

1,310 detections

This rule monitors for active reconnaissance or scanning behavior by detecting a single source IP interacting with a high number of distinct ports/hosts within a short time frame (NetworkScan) or accessing a high number of distinct URI paths/404 errors (WebContentScan).
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Arnold Chan@slaz
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Hunters
2 months ago
003
Detects potential web reconnaissance or scanning activity against Microsoft IIS servers. The rule identifies suspicious behavior by monitoring for high frequencies of distinct URI requests, excessive 404 Not Found status codes indicative of path brute-forcing, and the presence of known security scanning user-agents.
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Arnold Chan@slaz
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Hunters
2 months ago
203
Detects DNS queries and TLS SNI traffic directed towards domains identified as part of Storm-3121/Storm-3032 phishing campaigns. These domains are themed around passkey management and single sign-on (SSO) services, likely intended for credential harvesting.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
105
This rule monitors DNS queries and HTTP traffic for indicators related to known phishing infrastructure impersonating passkey and SSO providers. The domains detected are associated with Storm-3121/3032 campaigns designed to facilitate credential or session harvesting.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects potential social engineering attacks in Microsoft Teams where an internal user sends multiple messages containing terms related to MFA, SSO, or passkey updates, potentially attempting to harvest credentials from other users.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects anomalous Microsoft Graph API usage patterns where a single account interacts with a high number of unique request paths using common API pagination or search parameters, indicating potential resource enumeration or reconnaissance activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects repeated suspicious network requests, including non-standard HTTP methods and URI structures, as well as TLS SNI anomalies, targeting the internal sales portal 'agent.3bb.co.th'. The rule triggers when a threshold of 20 requests within a 60-second window is reached from a single source, indicating likely automated reconnaissance or vulnerability scanning activity.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
Detects repeated suspicious network requests, including non-standard HTTP methods and URI structures, as well as TLS SNI anomalies, targeting the internal sales portal 'agent.3bb.co.th'. The rule triggers when a threshold of 20 requests within a 60-second window is reached from a single source, indicating likely automated reconnaissance or vulnerability scanning activity.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
001
Detects repeated suspicious network requests, including non-standard HTTP methods and URI structures, as well as TLS SNI anomalies, targeting the internal sales portal 'agent.3bb.co.th'. The rule triggers when a threshold of 20 requests within a 60-second window is reached from a single source, indicating likely automated reconnaissance or vulnerability scanning activity.
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Arnold Chan@slaz
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Hunters
2 months ago
001
Detects repeated manual HTTP GET requests from many distinct source IPs to a canary token resource. The URI pattern follows a format indicative of a tracked canary token resource, and the threshold of 49 unique source IPs accessing the resource within a prolonged period suggests potential unauthorized reconnaissance or probing activities.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
004
Detects potential device code authentication phishing attacks by correlating a successful device code authentication event with a subsequent non-interactive sign-in from a suspicious user agent (Python Requests or specific Outlook versions) within a 10-minute window. This behavior is indicative of an adversary using a device code phishing lure to capture a token or session, followed by automated access via a script or impersonated client.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects emails delivering links to IronToll government-impersonation traffic-fine/payment portals (Egyptian and Moroccan justice-ministry lures), correlated with Safe Links click-through telemetry for the same URLs.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
Detects high-frequency connection attempts to PPTP (1723) and L2TP (1701) VPN ports from an external source, indicative of automated scanning or vulnerability discovery activity.
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Arnold Chan@slaz
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Hunters
1 month ago
000
This rule detects high-frequency TCP SYN connection attempts originating from external networks targeting common administrative or tunneling ports (1723/PPTP, 1701/L2TP, 22/SSH) on internal systems. The detection uses a threshold of 100 connection attempts within 120 seconds, which is characteristic of automated reconnaissance and network scanning behavior.
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Arnold Chan@slaz
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Hunters
1 month ago
000
Detects high-volume bursts of HTTP GET requests against specific paths associated with a Vite development server (/@vite/client, /@fs/, /src/) on port 5173. This pattern is indicative of automated reconnaissance or vulnerability scanning targeting an exposed development environment.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
Detects high-volume bursts of HTTP GET requests against specific paths associated with a Vite development server (/@vite/client, /@fs/, /src/) on port 5173. This pattern is indicative of automated reconnaissance or vulnerability scanning targeting an exposed development environment.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
Detects high-frequency, automated web scraping behavior targeting product catalog pages, indicative of content harvesting for site replication. The rule monitors IIS logs for non-browser user agents (e.g., Python, curl, Scrapy) performing rapid, multi-page requests within a short duration.
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Arnold Chan@slaz
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Hunters
2 months ago
002
Detects the initialization of containerized LLM-based gateway services (e.g., litellm, ollama) followed closely in time by high-volume network traffic containing suspicious web injection payloads (e.g., SQLi, XSS, SSRF). The rule correlates process execution events for container launches with network activity originating from the same device to identify potential unauthorized or unsupervised automated exploitation.
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Arnold Chan@slaz
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Hunters
2 months ago
002
Detects incoming emails to finance or accounts payable aliases that contain urgent payment-related keywords and suspicious patterns, such as subject lines including dollar amounts or emails where the Reply-To address domain differs from the Sender domain. This activity is highly indicative of BEC fraud attempts targeting payment redirection.
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Arnold Chan@slaz
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Hunters
2 months ago
102
Detects anomalous GitHub activity where a single actor interacts with 20 or more unique repositories within a 24-hour period. This behavior is indicative of potential repository scraping, unauthorized data harvesting, or mass configuration changes associated with reconnaissance or exfiltration activity.
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Shadows VMB@Vemorian_Mort
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Detections.ai Community
2 months ago
1017
Detects high-frequency, automated web scraping behavior targeting product catalog pages, indicative of content harvesting for site replication. The rule monitors IIS logs for non-browser user agents (e.g., Python, curl, Scrapy) performing rapid, multi-page requests within a short duration.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
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