Detections

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

3,989 detections

Detects a suspicious sequence of network events consistent with a credential-harvesting campaign abusing the FedCM (Federated Credential Management) API. The rule identifies the initial fetch of a malicious loader script from a lookalike domain (pdf.gusercontent.com), followed closely (within 5 minutes) by a redirect to Google's legitimate 'EmbeddedSetup' sign-in flow containing an email parameter.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
000
Detects a suspicious sequence of network events consistent with a credential-harvesting campaign abusing the FedCM (Federated Credential Management) API. The rule identifies the initial fetch of a malicious loader script from a lookalike domain (pdf.gusercontent.com), followed closely (within 5 minutes) by a redirect to Google's legitimate 'EmbeddedSetup' sign-in flow containing an email parameter.
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Ankit Mehta@Secvyn
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Hunters
1 month ago
000
This rule detects network communication patterns indicative of the Kimsuky threat group using compromised WordPress sites hosted on wasmer.app for command and control (C2). It specifically looks for established HTTP requests to the .wasmer.app domain, targeting a specific WordPress uploads path and a unique token format in the URI string.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule monitors for PowerShell commands that combine common data collection flags ('-Recurse', 'Documents') with 'Invoke-WebRequest' to perform a POST method upload. This pattern is commonly associated with the staging and exfiltration of sensitive files from local directories to a remote destination via HTTP/S.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects network traffic associated with Hannibal Stealer, including communication with known hardcoded C2 infrastructure, suspicious URI patterns for data exfiltration, and the use of the Telegram Bot API for potential C2 or exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects instances of the Hannibal Stealer module that attempt to masquerade as the legitimate 'CefSharp.BrowsersSubprocess.dll' by spoofing publisher metadata ('LLC Windows'). The detection triggers when this process is identified initiating network connections shortly after execution, which aligns with the malware's known behavior of performing geolocation-based checks before continuing activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects potential information stealer activity by identifying the staging of files (.html, .txt, .log) in common user directories like AppData or Temp, combined with process command lines querying sensitive system information (e.g., BIOS, wallets, screen resolution) and network connections to the Telegram API for likely exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects outbound network connections to a known malicious IP address (45.94.31.112) associated with C2 beaconing. The rule identifies communication directed to specific API endpoints (/api/v3/r, /api/v3/s) originating from processes other than common web browsers, suggesting the use of dedicated beaconing or malware agents (e.g., direct WinHTTP usage).
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
000
Detects outbound network connections to a known malicious IP address (45.94.31.112) associated with C2 beaconing. The rule identifies communication directed to specific API endpoints (/api/v3/r, /api/v3/s) originating from processes other than common web browsers, suggesting the use of dedicated beaconing or malware agents (e.g., direct WinHTTP usage).
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Ankit Mehta@Secvyn
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Hunters
1 month ago
000
Detects outbound network connections to a known malicious IP address (45.94.31.112) associated with C2 beaconing. The rule identifies communication directed to specific API endpoints (/api/v3/r, /api/v3/s) originating from processes other than common web browsers, suggesting the use of dedicated beaconing or malware agents (e.g., direct WinHTTP usage).
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
000
This rule monitors for known malicious file hashes, IP addresses, C2 domains, and specific URL markers associated with identified threat activity. It consolidates multiple detection vectors including file activity, process execution, network connections, and DNS queries to identify compromised devices communicating with attacker-controlled infrastructure.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
Detects outbound network connections from devices to specific suspicious domains identified in the detection logic. This rule monitors for connections to 'ns2.asiainfo.it.com' and 'www.wordcheck.info', which may be indicative of malware communication, command and control, or malicious web activity.
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Arnold Chan@slaz
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Hunters
1 month ago
002
This rule detects network connections from internal devices to known SpiceRAT Command and Control (C2) infrastructure IPs. The detection filters for successful connections on common ports (80, 443) that meet a volume threshold, indicating potential ongoing beaconing or communication with malicious infrastructure.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
This rule detects network connections from internal devices to known SpiceRAT Command and Control (C2) infrastructure IPs. The detection filters for successful connections on common ports (80, 443) that meet a volume threshold, indicating potential ongoing beaconing or communication with malicious infrastructure.
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Arnold Chan@slaz
Defender - KQL
1 month ago
002
Detects outbound network connections from devices to specific suspicious domains identified in the detection logic. This rule monitors for connections to 'ns2.asiainfo.it.com' and 'www.wordcheck.info', which may be indicative of malware communication, command and control, or malicious web activity.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
Detection rules designed to identify communication patterns associated with the CRPx0 ransomware, specifically targeting HTTP-based command-and-control (C2) traffic, including relay server interaction, unique Authorization headers, and connections to known onion-based proxies.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
Detects network activity associated with the SloppyRAT malware, specifically tracking the polling mechanism for reverse SOCKS proxy tasks and subsequent acknowledgment of these tasks via HTTP requests.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects non-interactive sign-in events to the Microsoft Graph API by applications that are not part of a known set of standard Microsoft applications. This pattern may indicate the use of stolen access tokens or compromised sessions (e.g., via device code phishing) to access M365 data without user interaction.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects HTTP GET requests associated with the Kimsuky threat actor, specifically targeting the retrieval of payloads like uni.txt or files matching the test.bef_fri pattern from the /unicorn/ directory.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects established network connections to a known Kimsuky-associated infrastructure (107.172.249.140) on port 443. The rule filters out standard TLS handshakes by inspecting initial packet content, targeting non-standard or custom-protocol traffic, and limits alerts to once per hour per source host to reduce noise.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects outbound HTTP requests to known Kimsuky command and control (C2) infrastructure associated with the Stella_Gary campaign. The rule monitors for specific URI patterns ('/unicorn/mort.php' or '/unicorn/uni.txt') commonly used by this threat actor for beaconing.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
103
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