Detections

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

2,594 detections

This rule detects anomalous GET requests to PHP files within the WordPress themes directory that match the specific pattern used by the DragonForce threat actor for secondary C2 beaconing. The detection identifies requests that lack typical WordPress request indicators like cookies or specific form fields, suggesting non-browser, programmatically generated C2 traffic.
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Arnold Chan@slaz
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Hunters
26 days ago
000
Detects network activity associated with the DragonForce backdoor, specifically the use of MQTT for command and control. The rules monitor for unique 16-character client IDs used during registration on non-standard ports, subsequent command retrieval structures containing 'cmdnum', and DNS queries for the hardcoded broker 'broker.emqx.io'.
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Arnold Chan@slaz
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Hunters
26 days ago
000
Detects network activity associated with the DragonForce backdoor, specifically the use of MQTT for command and control. The rules monitor for unique 16-character client IDs used during registration on non-standard ports, subsequent command retrieval structures containing 'cmdnum', and DNS queries for the hardcoded broker 'broker.emqx.io'.
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Arnold Chan@slaz
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Detection & Hunting Community
26 days ago
000
Detects a multi-stage exploit chain targeting iOS Safari clients, characterized by the sequential fetching of specific JavaScript modules (platform_module.js, utility_module.js, Stage1, Stage3, and bootstrap.dylib) and subsequent callback communication to a remote server. This pattern is consistent with a browser-based exploit framework targeting iOS devices.
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Arnold Chan@slaz
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Midnight Slayer
26 days ago
000
Detects a multi-stage exploit chain targeting iOS Safari clients, characterized by the sequential fetching of specific JavaScript modules (platform_module.js, utility_module.js, Stage1, Stage3, and bootstrap.dylib) and subsequent callback communication to a remote server. This pattern is consistent with a browser-based exploit framework targeting iOS devices.
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Arnold Chan@slaz
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Hunters
26 days ago
000
Detects network exploitation attempts targeting CVE-2026-82329 in JFrog Artifactory. The rule identifies path traversal, malicious Java deserialization payloads, and unauthorized access attempts to sensitive administrative API endpoints.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
005
Detects high-frequency, sequential outbound GET requests to short URL patterns, potentially indicating a sandbox escape attempt or automated command-and-control activity where shortened links are used to download multi-stage payloads.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
Detects incoming HTTP requests to an Artifactory deployment that utilize 'X-Forwarded-Host' and 'X-Forwarded-Scheme' headers in a manner consistent with HTTP cache poisoning attacks (CVE-2026-66384), specifically identifying when the 'X-Forwarded-Host' header contains unexpected or non-internal network values.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
Detects high-frequency requests to Hugging Face dataset repository commit and discussion endpoints, which may indicate the use of the platform as a dead drop resolver or for C2 polling.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
This rule detects repeated access to the RubyGems legacy API key endpoint within a short timeframe from a single source. This behavior is indicative of automated credential harvesting, where an adversary attempts to brute force or cycle through various API keys to gain unauthorized access to RubyGems accounts.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
Detects outbound HTTP POST requests containing an aggregated 'LOOT' variable in the body. The rule looks for markers indicating the exfiltration of Kubernetes-related credentials, such as service account tokens, bearer tokens, or configuration secrets, as well as common environment variable dumps like API keys.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
Detects anomalous POST requests to the RubyGems API endpoint '/api/v1/gems' that include an 'Authorization' header and a 'Content-Type' of 'application/octet-stream'. This pattern suggests the automated upload of binary files, potentially indicating exfiltration of data disguised as Ruby gems.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
101
Detects automated HTTP GET requests directed at government or council calendar endpoints (specifically targeting mgCalendarMonthView or GetMeetings parameters) using a common generic User-Agent. This behavior is indicative of an automated scripted client potentially using public infrastructure as a Command and Control (C2) relay.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
Detects an abnormally high volume of POST requests to the RubyGems API endpoint used for publishing packages. A sudden burst of these requests from a single source may indicate a mass upload campaign, commonly associated with software supply chain poisoning attempts.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
101
This rule detects network activity associated with the GemStuffer malware, specifically monitoring for DNS queries to known OAST callback domains, HTTP requests to specific C2 paths, and unauthorized data exfiltration attempts to the webhook.site service.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
Detects HTTP traffic attempting to download specific known malicious RubyGems packages from rubygems.org associated with the GemStuffer campaign. This indicates a supply chain compromise attempt where attackers distribute malicious code via public package repositories.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
Detects a multi-stage communication pattern involving an initial request to a URL-mirroring or shortening service with a long base64-encoded path, followed by a request to a screenshot/rendering API, and culminating in the reception of an image file. This chain is indicative of command and control (C2) communication where command output or exfiltrated data is encoded into images rendered by external web services to bypass traditional network security filters.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
This rule monitors for two related scenarios targeting the RubyGems legacy API-key endpoint. First, it identifies suspicious responses indicating an API key might have been served from a CDN cache, potentially leading to cross-user credential leaks. Second, it flags a high volume of requests to the same endpoint using gzip compression, which is a known technique associated with edge-cache poisoning attacks.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
Detects HTTP responses containing patterns associated with a malicious HTA stager hosted on Cloudflare Pages. The rule looks for specific URL structures often used in phishing campaigns that attempt to deliver malicious payloads, specifically involving a cloned Gmail attachment widget.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
Detects HTTP GET requests to specific domains (microsoft-flash.com or wps-cn.com) attempting to download a file named 'flashcenter_pp_ax_install_en.exe', which is associated with malicious installer activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
101
Detects outbound network traffic to domains and infrastructure known to be associated with the UAT-11587 Antino delivery chain. This includes specific Cloudflare Pages/R2 project URLs and CloudFront staging infrastructure often used for malicious payload hosting or staging.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
101
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