Detections

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

5,158 detections

Banking trojan and loader using malicious Office macro delivery
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Form-grabbing and credential stealing malware-as-a-service
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Form-grabbing and credential stealing malware-as-a-service
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
AI-powered phishing-as-a-service abusing device-code authentication
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Loader malware delivering follow-on ransomware payloads
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects network activity and DNS queries associated with known TA4922 command-and-control infrastructure, including specific domains and IP addresses. It also employs behavioral analysis to identify beaconing patterns from processes that are not identified as standard web browsers or authorized system/application utilities.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
201
Detects DNS resolution attempts or direct network connections to the domain 'vtps.us', which is associated with TA4922 command and control (C2) infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects the execution of a Cloudflare tunnel (cloudflared) binary that has been renamed to evade detection (e.g., svchost.exe), commonly used to establish persistent C2 tunnels.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
5 months ago
3064
This rule monitors for suspicious Linux kernel operations, including the loading of BPF programs via bpftool or system calls, and attempts by debugging or tracing tools to interact with processes using forceful termination signals. It also includes an anomaly detection branch that identifies processes with active network connections that are missing from the system process list, which may indicate process ghosting or hiding techniques.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects Python processes binding to or establishing network connections on the local loopback interface (127.0.0.1 or ::1) on non-standard ports. This behavior may indicate a local backdoor, proxy, or C2 listener implemented in Python that is not associated with common development tools or environments.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects the presence and activity of Tailscale VPN, including process execution, command-line arguments, network connections to Tailscale infrastructure, and communications within the Tailscale CGNAT address range (100.64.0.0/10). This rule identifies the potential use of Tailscale for tunneling or remote access, which may be unauthorized in some environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects suspicious network connections to 'outlook-one.vercel.app' or 'api.telegram.org' when initiated by common web browsers (msedge.exe, chrome.exe, firefox.exe) or Outlook (outlook.exe). This pattern can indicate phishing attempts, credential harvesting, or data exfiltration via Telegram bots.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects suspicious command-line executions involving common Windows system binaries (rundll32.exe, mshta.exe, certutil.exe, wmic.exe) combined with keywords often associated with network communication or data transfer (http, https, base64, /transfer). This pattern can indicate attempts at downloading malicious payloads, exfiltrating data, or executing encoded commands.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects suspicious network connections where the initiating process command line contains keywords indicative of evasion techniques such as 'obfuscate', 'encode', or 'encrypt'. It specifically looks for these activities over common web ports (80, 443, 8080, 8443) and triggers an alert if 10 or more such attempts are observed from a device within an hour.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule monitors and alerts on network connections established from endpoints to a predefined list of known malicious IP addresses, which may indicate command-and-control (C2) communication or unauthorized exfiltration attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
This rule detects network connections where the HTTP request URL or specific HTTP cookies match patterns often associated with command and control infrastructure or specific tracking beacons. It triggers on connections to 'financemachinelearning.com/apparatus/wind/twig/statement.html' or requests containing cookies like 'zd_cs_pm' or 'euconsent-v2'.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects network beaconing activity associated with the SPECTRALVIPER C2 framework. This rule identifies outbound HTTP GET requests targeting known C2 infrastructure domains and IP addresses, while correlating the traffic with specific browser user agents and cookie patterns indicative of this actor.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
This rule detects potential exploitation attempts against ServiceNow instances by monitoring network and DNS activity involving a known malicious IP address (51.159.98.241). It identifies high-volume connections or DNS requests related to service-now.com associated with this IP, which may indicate an attacker attempting to leverage unauthenticated Scripted REST resources.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects network connection events initiated by the OneDrive sync process (OneDrive.Sync.Services.exe) to known malicious domains or suspicious specific file paths, which may indicate unauthorized use of the OneDrive process for command-and-control communication or malicious file retrieval.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects HTTP traffic initiating a WebSocket protocol upgrade with a specific 'binary' subprotocol header, characteristic of the Brickstorm backdoor used by the UNC5221 threat actor for command and control (C2) communication.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
101
Detects network traffic over SMB targeting the SYSVOL or NETLOGON network shares that includes the transfer or reference of common executable file extensions. This behavior is indicative of an adversary attempting to stage malicious payloads for deployment via Group Policy Objects (GPOs), a common method for lateral movement and persistence.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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