Detections

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

5,158 detections

This rule detects a high number of distinct URLs and total network connections originating from a single remote IP address within a one-minute time window. This behavior can be indicative of various malicious activities such as data exfiltration, command and control (C2) communication, or network scanning. The threshold for distinct URLs is set to greater than 100 and total connections greater than 500.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
105
This rule detects instances where a single remote IP address exhibits a high number of idle network events (more than 200 idle events) and a high total number of network events (more than 500 total events) within a one-minute interval. This pattern can be indicative of Command and Control (C2) communication, where an adversary establishes a connection and then waits for commands, or data exfiltration, where data is sent in bursts with idle periods in between. It highlights unusual network communication patterns that might suggest malicious activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
004
Detects DNS queries to domains associated with tunneling tools (Ngrok, Tailscale) and Remote Monitoring and Management (RMM) tools (FleetDeck, TacticalRMM, Level.io, Pulseway, ScreenConnect, Splashtop, RustDesk, Atera, Remcos) known to be used by threat actors like Scattered Spider/Muddled Libra for covert persistent connectivity, remote access, and lateral movement.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
5 months ago
9029
Identifies Node.js processes downloading the Bun runtime from GitHub Releases. This behavior was observed in the vpmdhaj npm supply chain attack, where Gen-2 stagers silently downloaded Bun to execute bundled credential harvesting payloads without an immediate C2 payload drop.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
2016
Detects outbound network connections from web server processes to steamcommunity.com, which is used by this malware to fetch steganographically encoded C2 payloads from profile comments.
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Luís Marques@remotecodeexecution
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SIBS Cyberwatch
5 months ago
005
This rule detects potential port scanning activity from a single host. It identifies scenarios where a device attempts to connect to a large number of unique remote ports (20 or more) or a large number of unique remote IP addresses (25 or more) within a 10-minute window. This behavior is indicative of an adversary attempting to discover open ports or active hosts on a network.
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Rudra Verma@Rudraverma
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CyberHawk Consultancy
5 months ago
105
Detects network connections or web requests to the specific malicious GitHub repository paths used to host the 5th and 6th stage payloads of the Miasma malware (a Shai-Hulud variant).
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Duo Tech@duotech
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Detections.ai Community
5 months ago
004
Detects network connections to the Cobalt Strike C2 URI path '/statistics/discover.txt', indicating active communication from a FrostyNeighbor Cobalt Strike beacon. Identifying this beacon is critical for finding fully compromised hosts under active remote control.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
5 months ago
2093
This rule detects unusual network connection patterns characterized by a high volume of connections to a remote IP address within a 5-minute window, combined with anomalous connection durations. Specifically, it flags scenarios where there are more than 1000 connections and either the 95th percentile of connection durations is very short (less than 50ms) or the 5th percentile of connection durations is very long (greater than 30000ms). These patterns can indicate activities such as network scanning, denial-of-service attempts, or command and control communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
002
Detects network connections to the URI path '/employment/documents-and-resources', which is used by FrostyNeighbor's PicassoLoader to exfiltrate host fingerprinting data and assess compromised hosts for further payload delivery.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
5 months ago
3082
Detects Cisco SD-WAN control connection state changes indicating a new 'vmanage' peer connection from an unauthorized IP address. This rule is designed to identify potential exploitation of vulnerabilities like CVE-2026-20182, where attackers establish unauthorized infrastructure ties by creating new vManage peer connections. The rule filters for syslog messages from the Viptela-vSmart-VDAEMON indicating a 'control-connection-state-change' with 'new-state:up' and 'peer-type:vmanage', and then excludes connections from a list of authorized vManage IP ranges.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
6 months ago
50317
This rule detects DNS queries to known malicious domains associated with the Tycoon2FA phishing campaign. These domains are used for anti-bot verification during the attack chain, which typically involves hijacking Microsoft 365 accounts via device code phishing.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
6 months ago
30294
This rule detects network connections to the Telegram API (api.telegram.org) originating from processes that are not recognized as legitimate Telegram applications (e.g., chrome.exe, Telegram.exe). This behavior can indicate the presence of malware or other unauthorized applications attempting to exfiltrate data or establish command and control via the Telegram messaging platform.
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Collin Lairamore@Bollinmore
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XQL Threat Forge
6 months ago
30160
This rule detects DNS requests to hyphen mirrored domains. This tactic has been seen from Silver Fox to deliver the Atlas RAT via Weaponized VPN Installers. Known bad according to the Hexastrike article
trezor-trezor[.]com
signal-signal[.]com
quickq-quickq[.]com
eyy-eyy[.]com
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Collin Lairamore@Bollinmore
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XQL Threat Forge
6 months ago
20143
This rule detects suspicious sign-in attempts to Microsoft 365 accounts that originate from known Tycoon2FA infrastructure. It specifically looks for device code flow authentications from IP addresses and Autonomous System Numbers (ASNs) associated with Tycoon2FA, combined with indicators like unmanaged/non-compliant devices, specific user agent patterns (axios, node, undici), and particular application IDs, and an unbound sign-in token protection status. This combination of indicators suggests an attempt to hijack Microsoft 365 accounts using device code phishing.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
6 months ago
70232
Detects DNS queries or network connections resolving to known Tycoon2FA credential harvesting, kill switch, and link management domains post-takedown. This rule specifically targets precise indicators of compromise (IoCs) associated with the rebuilt Tycoon2FA infrastructure.
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Elgonad .@elgonad
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Detections.ai Community
6 months ago
00147
Identifies network traffic containing the distinct 'bltpg' and 'sid' parameters used by the Tycoon2FA credential harvesting platform. This rule specifically looks for HTTP network data containing both 'bltpg=' and 'sid=' within the action_network_http field, which are indicative of the Tycoon2FA phishing kit's communication patterns. The rule then deduplicates alerts based on agent hostname and remote IP to reduce alert volume.
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Elgonad .@elgonad
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Detections.ai Community
6 months ago
00117
Detects network HTTP requests to the '/GetCluster' endpoint containing the 'DotNet-TcpDmtp' protocol parameter, a specific C2 registration pattern used by the updated FDMTP backdoor.
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Tim Peck@timpeck
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Detections.ai Community
6 months ago
10119
Detects Mini Shai-Hulud supply-chain malware (router_init.js / router_runtime.js / tanstack_runner.js)
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Leonardo Gasparini@Leonardo.Gasparini
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Detections.ai Community
6 months ago
1431,824
Detects DNS queries pointing to a specific malicious AWS S3 bucket URL known to be utilized by the Tycoon2FA threat actor for hosting initial cloned Microsoft Power Pages lures. This rule identifies network activity attempting to resolve this highly specific Indicator of Compromise (IOC).
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Elgonad .@elgonad
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Detections.ai Community
6 months ago
10114
Detects network connections, DNS queries, or web requests to domains associated with the Mini Shai-Hulud supply-chain attack.
This attack compromised multiple npm and PyPI packages (such as TanStack, Mistral AI, and UiPath) with a payload that exfiltrates harvested credentials to the Session messaging protocol's file server and downloads additional stages from attacker-controlled domains.
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Georgios Maragos@Gmarak
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Detections.ai Community
6 months ago
2031,811
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