Detections

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

4,230 detections

Detects HTTP GET requests to the GitLab project repository commits API that contain path traversal sequences ('../' or encoded variations). This behavior is characteristic of exploitation attempts targeting vulnerabilities that allow unauthorized file access or directory traversal within the GitLab environment.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
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Arnold Chan@slaz
Defender - KQL
2 months ago
000
Detects browser-based network requests to the Google Sheets Visualization API (gviz/tq) that appear to be used for fetching malicious JavaScript payloads from public Google Sheets. The rule specifically identifies instances where a process initiates these requests without any corresponding active browser session associated with standard Google Docs or Sheets editing activity.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
002
This rule detects potential browser-based manipulation or phishing campaigns where a user visits a known loader script host (paste.sh) and subsequently visits cryptocurrency trading sites (SimpleSwap, SwapZone) within a short time window. This behavior is indicative of an injected script modifying the browser's view of trading sites to display deceptive 'Loyalty Bonus' or discount banners to lure users into transactions.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
102
This rule detects potential browser-based wallet address substitution attacks by monitoring for a specific sequence of network connections within a single browser process. It looks for connections to cryptocurrency swap platforms (SimpleSwap/SwapZone) closely followed by the retrieval of an external loader script (paste.sh) and a Google Sheets Visualization API payload, which is a known technique for injecting malicious scripts that intercept and modify XHR/fetch responses in the user's browser.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
102
Detects browser-based network requests to the Google Sheets Visualization API (gviz/tq) that appear to be used for fetching malicious JavaScript payloads from public Google Sheets. The rule specifically identifies instances where a process initiates these requests without any corresponding active browser session associated with standard Google Docs or Sheets editing activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
102
Detects network traffic associated with SloppyRAT C2 beacons by identifying specific user-agent strings ('CommandExecutor/1.0', 'Mozilla/5.0 (compatible; DLLMemLoader/1.0)') or anomalous API path requests containing 'X-API-Key' or 'Authorization: Bearer' headers.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
001
Detects an HTTP POST request targeting the host 'tt.yeyoujs.com' at the URI path '/api/agent/enroll', containing a specific Python aiohttp User-Agent string. This pattern is characteristic of a C2 agent attempting to register or enroll with an external command-and-control server.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
This rule detects inbound HTTP GET requests to a specific IP address (103.86.86.244) requesting a file named 'deploy.ps1'. This behavior is characteristic of adversaries using PowerShell one-liners (cradles) like 'irm' (Invoke-RestMethod) or 'iex' (Invoke-Expression) to fetch and execute malicious scripts directly from a remote C2 infrastructure.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
003
This rule detects inbound HTTP GET requests to a specific IP address (103.86.86.244) requesting a file named 'deploy.ps1'. This behavior is characteristic of adversaries using PowerShell one-liners (cradles) like 'irm' (Invoke-RestMethod) or 'iex' (Invoke-Expression) to fetch and execute malicious scripts directly from a remote C2 infrastructure.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
103
Detects an HTTP GET request to 'dl.php' containing an 'f' parameter (target file) and an 'k' parameter (access token), followed by a response body starting with the 'MZ' header, indicating the successful download of a Windows PE executable as part of a potential phishing campaign stage-2 payload delivery.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months 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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Hunters
2 months ago
000
Detects outbound HTTP POST requests to suspicious .ru domains and DNS queries for these domains, indicative of C2 beaconing activity likely associated with a supply chain compromise affecting the Pub.dev ecosystem.
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Nate Dunning@nateossprey
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Ossprey Open Source Supply Chain Detections
2 months ago
002
Detects specific outbound HTTP POST requests to a known Amatera Stealer command and control domain. The rule looks for the unique URI path '/T.@w' and a specific 'Command: GetEndpoints' header structure commonly used by this malware family to beacon to its C2 infrastructure.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
001
Detects specific outbound HTTP POST requests to a known Amatera Stealer command and control domain. The rule looks for the unique URI path '/T.@w' and a specific 'Command: GetEndpoints' header structure commonly used by this malware family to beacon to its C2 infrastructure.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
Detects high-volume, potentially malicious activity where a client requests a large number of distinct hostnames ending in .shop from a single destination IP address within a short time frame, which may indicate infrastructure used for phishing or fraudulent e-commerce storefronts similar to DoppelCart-style activity.
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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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Detection & Hunting 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
Defender - KQL
2 months ago
001
Detects unauthenticated GET requests to GitLab CI/CD job artifact download endpoints on a public repository, which can expose leaked secrets bundled into build artifacts.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
Detects unauthenticated GET requests to GitLab CI/CD job artifact download endpoints on a public repository, which can expose leaked secrets bundled into build artifacts.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
001
Detects unauthenticated GET requests to GitLab CI/CD job artifact download endpoints on a public repository, which can expose leaked secrets bundled into build artifacts.
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Arnold Chan@slaz
Defender - KQL
2 months ago
001
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