Detections

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

5,154 detections

ET INFO Blockchain RPC Domain in TLS SNI (mainnet .optimism .io)
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Tim Peck@timpeck
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Proofpoint Emerging Threats Rules
1 year ago
0014
Detects network connections to blockchain APIs that are indicative of EtherHiding techniques, specifically those used by UNC5342 to retrieve malicious payloads. It identifies connections to domains containing keywords like 'explorer', 'block', 'cypher', 'eth', 'bit', 'coin', or 'crypto', combined with suspicious URL patterns such as 'eth_call' (a read-only function call for smart contracts) or 'apiKey=freekey' (a common free API key used by threat actors).
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Dylan Evans@decksy
Dexter's Laboratory
1 year ago
665646
ET MALWARE TA398 CurlBack_RAT CnC Activity - Fetch Commands M2
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Tim Peck@timpeck
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Proofpoint Emerging Threats Rules
1 year ago
0013
ET INFO Blockchain RPC Domain in TLS SNI (mainnet .infura .io)
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Tim Peck@timpeck
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Proofpoint Emerging Threats Rules
1 year ago
0013
ET ATTACK_RESPONSE Observed AsyncRat Installer Inbound
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Tim Peck@timpeck
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Proofpoint Emerging Threats Rules
1 year ago
0012
Detects network connections to known Command and Control (C2) servers associated with the LANDFALL Android spyware. The spyware communicates over HTTPS, often on non-standard ports.
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Matt Brady@mbrady5299
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Detections.ai Community
1 year ago
1047
This rule detects an attempt to exploit a buffer overflow vulnerability (CVE-2025-9299) in Tenda routers. The exploit targets the `/goform/getMasterPassengerAnalyseData` endpoint via an HTTP POST request, specifically looking for an overly long 'time' parameter in the request body, which could lead to a buffer overflow.
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Tim Peck@timpeck
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Proofpoint Emerging Threats Rules
1 year ago
0016
Detects the execution of the Ligolo-ng tunneling tool, which is used by the Silent Lynx APT group for command and control and network pivoting.
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Tim Peck@timpeck
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Detections.ai Community
1 year ago
30107
Detects network traffic to 'cloudflariz.com', a known Command and Control (C2) domain associated with the Qilin RaaS group. An alert from this rule is a high-fidelity indicator of compromise.
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Vignesh Nayak@anomalylogic
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Detections.ai Community
1 year ago
180325
A critical remote code execution vulnerability, CVE-2025-59287, affects Windows Server Update Services (WSUS), enabling unauthenticated attackers to execute arbitrary code via unsafe deserialization in the AuthorizationCookie.
Actively exploited since October 2025, this flaw targets WSUS servers on ports 8530/8531, often leaving forensic artifacts like modified SoftwareDistribution.log files and suspicious process chains involving w3wp.exe or wsusservice.exe spawning cmd.exe, powershell.exe, or net.exe.
The provided KQL query for Microsoft Defender XDR correlates network, file, and process events to detect exploitation attempts.
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Awais Munir@iawais
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Detections.ai Community
1 year ago
6681,294
This rule detects the presence of percent-encoded Bi-Directional (BiDi) control characters in URLs within network events. Specifically, it looks for '%E2%80%AE' (Right-to-Left Override - RLO), '%E2%80%8E' (Left-to-Right Mark - LRM), and '%E2%80%8F' (Right-to-Left Mark - RLM). These characters can be used to obfuscate URLs, making malicious links appear benign to users and potentially bypass security controls.
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Benjamin Zulliger@benscha
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Detections.ai Community
1 year ago
221438
This rule detects a sequence of events indicative of a potential macOS ClickFix attack. It looks for a base64 encoded command executed by 'bash' or 'zsh', immediately followed (within 10 seconds) by a 'curl' command that initiates a network connection to a URL. The rule specifically excludes a whitelisted curl command to reduce false positives. The correlation of base64 execution, a subsequent curl command, and a successful network connection to the domain extracted from the curl command suggests an attempt to download and execute malicious content, possibly after decoding it.
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Benjamin Zulliger@benscha
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Detections.ai Community
1 year ago
264598
Detects Airstalk malware, which exists in both PowerShell and .NET variants. The rule identifies specific strings related to its C2 communication over the AirWatch MDM API, tasking, and other unique artifacts.
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Matt Brady@mbrady5299
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Detections.ai Community
1 year ago
2042
Detects the use of various command-line utilities like PowerShell, curl, and wget to exfiltrate data via web requests, specifically looking for POST requests containing common system information or sensitive data commands.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
2040
This rule detects the execution of Python web servers via the command line interface (CLI) on Linux systems. Adversaries often use Python's built-in HTTP server modules (like `http.server` or `SimpleHTTPServer`) in post-exploitation scenarios to quickly establish a web server without needing to install additional software. This allows them to easily transfer files between a compromised host and attacker-controlled systems, facilitating data exfiltration or further payload delivery.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
2024
Detects URLs that use the `https://user@host` syntax where the 'user' part is crafted to look like a legitimate domain (e.g., `https://example.com@malicious-site.net`). This is a technique used by the Jingle Thief group (also tracked as Atlas Lion and STORM-0539) to craft convincing phishing links.
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Duo Tech@duotech
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Detections.ai Community
1 year ago
60187
Detects outbound network connections to Azure Front Door (azurefd.net) that are not initiated by common web browsers or known benign applications/services. This rule aims to identify potentially suspicious use of Azure Front Door for command and control (C2) or other malicious activities, as adversaries can leverage this legitimate service for obfuscation, such as domain fronting.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
30117
This rule detects suspicious activity related to Windows Server Update Services (WSUS) that could indicate compromise. It correlates three types of events: 1) external network connections to WSUS ports, 2) modifications to the WSUS log file (SoftwareDistribution.log), and 3) suspicious processes (like cmd.exe, powershell.exe, whoami.exe, net.exe) spawned by WSUS-related processes (w3wp.exe, wsusservice.exe) with specific command-line arguments. The rule aims to identify scenarios where an attacker might be interacting with or manipulating a WSUS server.
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Awais Munir@iawais
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Detections.ai Community
1 year ago
0128
Detects various activities associated with the UTA0388 threat actor and their GOVERSHELL malware family. This includes network connections to known C2 infrastructure, creation of persistence via scheduled tasks, and execution of the malware payload, often involving DLL side-loading. The detection logic covers network communication with known C2 domains and IPs, creation of scheduled tasks with specific names, execution of the malware from common staging directories with specific flags, and the dropping of GOVERSHELL DLLs or files with known hashes.
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Ramzi Zelfani@rzelfani
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Detections.ai Community
1 year ago
50224
Detects multiple TTPs associated with the exploitation of SharePoint ToolShell vulnerabilities (e.g., CVE-2025-53770) by the threat actor Storm-2603. This includes the initial exploit attempt, webshell creation, defense evasion using a vulnerable driver, and C2 communication.
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Duo Tech@duotech
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Detections.ai Community
1 year ago
2088
Detects potential BRICKSTORM C2 activity. This rule identifies processes initiating a WebSocket connection over HTTPS, which is a technique used by BRICKSTORM for its command and control channel. The rule filters for processes that lack file metadata, a common characteristic of Go-based malware like BRICKSTORM.
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Kenji Choy@kchoy
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Detections.ai Community
1 year ago
122564
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