Detections

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

205 detections

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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Detections.ai Community
1 month ago
003
This rule detects anomalous access patterns on a specific IIS host (agent.3bb.co.th) by comparing recent traffic against a 30-day historical baseline. It identifies requests from accounts or source IPs not seen in the baseline, activity occurring during off-hours, or traffic from external sources. The rule further filters for high-volume or high-path diversity requests, which are indicative of automated reconnaissance or potential brute-force activity against the web application.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects high-frequency access to 'about' pages from a single IP address, indicative of potential reconnaissance or information gathering on an organization's public-facing infrastructure. The rule filters out common search engine crawlers and triggers only when a significant number of distinct pages are requested within a short timeframe.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
003
Detects high-frequency access to 'about' pages from a single IP address, indicative of potential reconnaissance or information gathering on an organization's public-facing infrastructure. The rule filters out common search engine crawlers and triggers only when a significant number of distinct pages are requested within a short timeframe.
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Arnold Chan@slaz
Defender - KQL
1 month ago
103
This rule monitors web server logs (IIS, W3C, and Azure Application Gateway) for incoming traffic that matches known malicious or automated vulnerability scanners, as well as requests for common system fingerprinting paths (such as /server-status or /.git/config). The rule aggregates these hits by source IP address to identify potential active reconnaissance or vulnerability scanning attempts.
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Arnold Chan@slaz
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Hunters
2 months ago
304
Detects high-frequency access to 'about' pages from a single IP address, indicative of potential reconnaissance or information gathering on an organization's public-facing infrastructure. The rule filters out common search engine crawlers and triggers only when a significant number of distinct pages are requested within a short timeframe.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
002
Detects high-frequency access to 'about' pages from a single IP address, indicative of potential reconnaissance or information gathering on an organization's public-facing infrastructure. The rule filters out common search engine crawlers and triggers only when a significant number of distinct pages are requested within a short timeframe.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
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 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.
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
1 month 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.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
1 month 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
1 month ago
001
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 automated reconnaissance and enumeration of sensitive web application paths (admin, config, environment files, etc.) from a single source IP. The rule identifies high-frequency request patterns that target specific non-public surface areas while excluding known search engine crawlers and monitoring bots.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
002
Detects anomalous DNS activity characterized by either unauthorized DNS zone transfer (AXFR/IXFR) requests or aggressive subdomain enumeration patterns from external IP addresses. This rule monitors for high volumes of non-standard DNS queries or distinct subdomain lookups within a 15-minute window, which are common precursors to reconnaissance activities.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
006
Detects high-frequency, automated requests to product and catalog pages within a short time window, characteristic of web scraping or catalog harvesting often used to feed fake-shop networks or build clone sites.
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Arnold Chan@slaz
Defender - KQL
2 months ago
102
Detects high-frequency, automated requests to product and catalog pages within a short time window, characteristic of web scraping or catalog harvesting often used to feed fake-shop networks or build clone sites.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
102
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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Midnight Slayer
2 months ago
005
Detects high-frequency, automated requests to product and catalog pages within a short time window, characteristic of web scraping or catalog harvesting often used to feed fake-shop networks or build clone sites.
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Arnold Chan@slaz
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Hunters
2 months ago
001
This rule detects potential automated web scraping activity by identifying high-volume, repetitive network requests directed towards domains identified as government (.gov) or military (.mil). It correlates these network patterns with the execution of common browser automation frameworks (e.g., Puppeteer, Playwright) or headless browsers, indicating a likely coordinated scraping operation or bot activity.
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Arnold Chan@slaz
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Hunters
2 months ago
001
Detects a host performing high-volume outbound network scanning (connecting to 10 or more distinct public IP addresses within 15 minutes) followed by the execution of an executable file created in common suspicious directories (AppData, Temp, Downloads, or Users/Public) within a short window (10 minutes after the scan). This pattern is indicative of a compromised host scanning for lateral movement opportunities or propagation targets, followed by the deployment of malicious tooling.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
001
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