Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
3,989 detections
Filters
Last updated
All Time
Detection languages
1,774
868
397
195
188
Contributors
1,070
924
756
221
96
Categories
2,448
1,307
1,164
785
713
Platforms
2,415
1,310
658
528
133
Products / Services
1,307
886
808
561
337
MITRE Techniques
18,128
15,651
12,599
8,410
6,235
3,989
CVEs
6
5
5
5
5
IDS Classtypes
564
275
11
8
6
IDS Protocols
537
174
64
64
12
Detects suspicious OpenProcess calls initiated by common user applications (explorer.exe, winword.exe, outlook.exe) targeting svchost.exe, followed by an outbound network connection from the target svchost.exe to the file sharing service filen.io within a 30-minute window. This behavior is indicative of process injection used to facilitate network communication or data exfiltration under the guise of a system process.
Detects instances where the Windows script hosts wscript.exe or cscript.exe establish outbound network connections to common web ports (HTTP/HTTPS) on external IP addresses. This behavior is frequently associated with script-based malware, droppers, or C2 beacons.
This rule detects network connections or process command lines referencing 'easyupload.io' and 'limewire.com', as well as searches for 'eayupload'. These indicators are often associated with unauthorized file transfers or potentially malicious activity involving known file sharing platforms.
This rule monitors for two types of anomalous network behavior: first, it identifies connections to known domains from IP addresses not previously associated with those domains over a seven-day lookback period. Second, it identifies HTTP proxy responses (from Zscaler or Squid) where the content-length significantly deviates from the historical baseline for specific URLs. These patterns are potential indicators of C2 channel shifts or data exfiltration via web protocols.
Detects the creation or modification of Power Automate Flows that utilize non-Microsoft domains for HTTP or webhook connectors. Adversaries may abuse Power Automate to automate exfiltration or command-and-control tasks by connecting workflows to external malicious endpoints.
Detects network communication to OpenClaw malicious infrastructure. OpenClaw operates a skill marketplace that distributes AI-generated malware and exploits, representing an emerging supply chain threat to organizations.
Detects instances where language-related processes (amazonq-language-server, node) or common tools (bash, sh, curl, aws) execute commands containing AWS access credentials or perform potential data exfiltration via curl POST requests.
This rule detects network communication (connections, DNS queries, or proxy logs) between endpoints and a list of known malicious domains and IP addresses associated with Mistic and Woodgnat/KongTuke threat families. It identifies these activities across network event logs, DNS queries, and security logs.
Detects the execution of process images known as 'XDRAgent.exe' or VMware administration tools ('vmtools.exe', 'vmwared.exe') when their command lines include patterns commonly associated with reverse shell communication, suspicious IP addresses, or unauthorized administrative arguments.
This rule monitors for node.exe processes running from the AppData directory initiating multiple network connections to non-private (external) IP addresses over common web ports (80, 443, 8080, 8443). Running Node.js from user-writable temporary directories can be an indicator of malicious activity or the execution of unauthorized web applications attempting command and control communication.
Detects HTTP requests to Microsoft 365 search endpoints containing unusually long query strings. Such patterns may indicate automated data extraction, exfiltration over alternative protocols, or unauthorized information harvesting via search parameters.
This rule detects potential data exfiltration through the Bing Image Search 'search-by-image' feature. It identifies web traffic to Bing that contains an 'imgurl' parameter, decodes the URL, and filters out legitimate Microsoft-related domains. It then flags suspicious, potentially encoded file paths or data structures that might indicate the use of this public service to exfiltrate or host staging data.
This rule detects potential Server-Side Request Forgery (SSRF) exploitation where Bing's 'search by image' functionality is abused to fetch external, non-Microsoft controlled URLs. The query monitors web proxy logs for specific Bing search parameters ('cbir=sbi' and 'imgurl') and filters out requests to trusted domains, effectively identifying attempts to use the search engine as an intermediary for unauthorized external web requests. The rule further correlates these hits with Microsoft Copilot interaction logs to identify if the activity is associated with authenticated Copilot user sessions.
Detects suspicious subprocesses spawned by IDE or extension host processes (like VS Code or Amazon Q) that execute AWS CLI commands to enumerate identity or immediately exfiltrate data via curl/wget, indicating potential credential abuse by malicious plugins or MCP servers.
Detects the presence of specific file artifacts (extension ID 'flkebkiofojicogddingbdmcmkpbplcd' and associated traffic routing configuration files) belonging to a malicious Chrome extension that leverages declarativeNetRequest permissions to redirect browser traffic through an attacker-controlled relay domain.
This rule monitors for malicious Chrome extension activity involving the redirection of address bar inputs to an unauthorized domain (perplexity-ai.online). It identifies indicators of compromise across device network logs (connectivity to the malicious C2), file system events (presence of the identified malicious extension identifier), and generic device events (log entries containing the malicious extension ID or C2 URL). This pattern is indicative of a browser-based keystroke exfiltration attack.
This rule detects potentially malicious activity where 'npm' or 'node' processes spawn sensitive child processes (e.g., cmd.exe, powershell.exe, python.exe, curl.exe) in contexts associated with package installation (e.g., node_modules, postinstall scripts) or known indicators of compromise related to supply chain attacks and credential theft.
Detects browser network events matching Tycoon2FA WebSocket interactions used to silently stream stolen session cookies back to the AiTM proxy backend. The rule specifically looks for WebSocket connections (wss:// or ws://) with a path containing '/socket.io/?EIO=' initiated by 'chrome.exe' or 'msedge.exe'.
Detects potential execution chains related to QR code phishing (Quishing) by monitoring for suspicious process creation or outbound network connections originating from document readers, office applications, and QR scanner utilities. It covers three primary vectors: suspicious process spawning (e.g., Office apps launching cmd or powershell), non-standard network connections from document readers, and malicious URL-based LNK files spawned via explorer.exe.
This rule detects potentially malicious behavior associated with web browser processes, including the execution of Python scripts, the loading of browser extensions from non-standard directories like AppData or Temp, the creation of Python scripts by browsers in temp folders, and outbound network connections by Python processes following browser activity. These patterns are often associated with browser-based exploitation, extension-based malware, or initial access stages where a browser is used as a conduit for malicious code execution.
Detects DNS resolution to attacker-controlled AWS S3 buckets masquerading as Outlook/OneDrive service pages used by UNC6692 for phishing delivery, SNOWBELT C2, and credential exfiltration. The rule specifically looks for DNS queries to S3 domains with patterns indicative of spoofed Outlook/OneDrive service pages or specific known malicious S3 bucket names.
Page 115 of 190