Detections

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

10,670 detections

Detects outbound network connections to a known PCPcat C2 server IP address on specific ports used for API communication, reverse tunneling, and payload distribution. This rule identifies potential command and control activity and data exfiltration attempts by monitoring network traffic to a hardcoded malicious IP and associated non-standard ports.
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Eran Yosef@Zaku7892
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Detections.ai Community
10 months ago
150155
This rule detects the presence of known malicious browser extensions, specifically Urban VPN, Urban Browser Guard, Urban Ad Blocker, and 1ClickVPN Proxy, across Chrome and Edge browsers. It identifies these extensions by searching for their unique 32-character Extension IDs within file paths or file names associated with device file events. The rule then enriches the findings with the extension's name and the browser it belongs to.
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F S@Fsdr
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Detections.ai Community
11 months ago
1827993
Detects the execution of PowerShell or VBScript commands that contain indicators of base64 encoding. This is a common obfuscation technique used by malware like DarkGate to hide malicious payloads, often seen in social engineering campaigns like "ClickFix".
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
10 months ago
491376
Detection Looks for powershell been used to disable AV/Defender within a system or evade detection through excluding drives/files. Actors will use this to bypass defenses or set up file exclusions to allow their custom files/binaries to execute.
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Niall Dunne@Xavier
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Detections.ai Community
11 months ago
197331,463
This KQL query identifies potential Bring Your Own Vulnerable Driver (BYOVD) activity associated with the Shanya packer by detecting the creation/modification of known vulnerable or malicious driver files (e.g., ThrottleStop.sys, rwdrv.sys, hlpdrv.sys) and their subsequent loads, a technique used to gain kernel access for disabling EDR/AV tools in ransomware attacks.
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Awais Munir@iawais
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Detections.ai Community
11 months ago
430388
Detects the use of curl.exe to download content from a remote source and pipe it directly into PowerShell for execution. This is a fileless execution technique used by adversaries like Storm-0249 to bypass traditional file-based defenses.
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Ramzi Zelfani@rzelfani
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Detections.ai Community
11 months ago
420340
This rule detects attempts to discover Group Policy settings on a Windows system. It identifies the execution of common command-line interpreters (cmd.exe, powershell.exe, wmic.exe, rundll32.exe) followed by specific commands or PowerShell cmdlets used for GPO enumeration. This includes native Windows commands like 'gpresult' and 'secedit', registry queries for policy settings, and PowerShell cmdlets such as 'Get-GPO' and 'Get-GPResultantSetOfPolicy'. Additionally, it looks for LDAP-related commands or patterns ('ldapsearch', 'groupPolicyContainer') that might indicate GPO discovery via directory services. The rule also correlates these process events with network connections to SYSVOL shares or LDAP ports (389, 636) to further confirm GPO-related activity.
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Awais Munir@iawais
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Detections.ai Community
11 months ago
863527
This rule detects a specific sequence of commands often used by ransomware, particularly the '01flip' variant, to self-delete after execution. The sequence involves 'ping.exe' for a delay, 'fsutil.exe' to zero out file data, and 'cmd.exe' to delete files. The rule correlates these events within a short timeframe, initiated by the same process on a given device.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
131169
Detects the execution of the AutoHotKey interpreter (AutoHotKey.exe) as a child process of common initial access applications like web browsers, Microsoft Office products, or command-line interpreters. This behavior is a key indicator of the latest DarkGate malware infection chain.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
151139
Detects the mass renaming or creation of files with the '.01flip' extension, which is characteristic of the 01flip ransomware. A high count of these files on a single host is a strong indicator of an active ransomware infection.
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
92127
This rule detects the execution of known proxyware applications such as Infatica, Honeygain, and IPRoyal by looking for specific command-line arguments. Proxyware applications monetize unused internet bandwidth by routing traffic through the user's device, which can pose security and privacy risks.
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F S@Fsdr
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Detections.ai Community
11 months ago
363269
Detects DLL side-loading attacks where consent.exe loads known malicious DLLs (version.dll, rtworkq.dll, wmsgapi.dll, and the older msimg32.dll) from non-standard locations. This technique is used by Shanya-packed malware including EDR Killer and CastleRAT to load malicious payloads while appearing as a legitimate Windows UAC process.
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Ankit Mehta@Secvyn
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Detections.ai Community
11 months ago
341277
This rule detects PowerShell processes that are initiated by a LOLBAS binary and subsequently establish an outbound network connection to a public IP address. It leverages an external LOLBAS JSON data source to identify suspicious parent processes. This behavior could indicate an adversary using a Living Off The Land Binary or Script (LOLBAS) to execute PowerShell for malicious purposes, such as command and control or data exfiltration.
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Benjamin Zulliger@benscha
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Detections.ai Community
11 months ago
996608
This rule detects suspicious network connections to known malicious URLs associated with a Docker Desktop malware campaign. It also identifies instances where 'DockerDesktop.exe' is executed or present in unusual file paths, suggesting potential masquerading or unauthorized deployment outside of its standard installation directory. The rule is broken into three parts: network events, file events, and process events. The network part looks for connections to specific malicious domains. The file and process parts look for 'DockerDesktop.exe' in folders other than the assumed legitimate installation path, indicating potential malicious activity.
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doyou know@doyouknow
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Detections.ai Community
11 months ago
341328
This rule detects the creation or modification of executable files with a single-character filename followed by '.exe' (e.g., 'a.exe', 'b.exe'). This pattern is often used by adversaries to evade detection or to make malicious files less conspicuous. The rule specifically excludes 'R for Windows front-end' to reduce false positives related to legitimate software.
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F S@Fsdr
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Detections.ai Community
11 months ago
494328
This rule detects applications, other than common web browsers, that are making network connections to Google Analytics domains and also contain 'microsoft' in the remote URL. This could indicate an application collecting device information or other telemetry and exfiltrating it via Google Analytics, potentially for malicious purposes or unauthorized data collection.
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F S@Fsdr
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Detections.ai Community
11 months ago
464308
This rule detects instances where the calculator application (calc.exe) initiates a network connection. This behavior is highly unusual for a standard calculator application and could indicate malicious activity, such as an adversary using calc.exe as a proxy for network communication or injecting malicious code into it.
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F S@Fsdr
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Detections.ai Community
11 months ago
423318
This query hunts for indicators of compromise (IOCs) and behaviors linked to the LockBit 5.0 ransomware variant. It identifies the creation of the ransom note, suspicious file renaming patterns using hexadecimal extensions, and network connections to known command-and-control (C2) infrastructure associated with LockBit activity.
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Navdeep Sharma@navvi24
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Detections.ai Community
11 months ago
803535
This rule detects the presence and activity of the ShadyPanda malware campaign, specifically focusing on malicious Chrome extensions and their associated command and control (C2) and data exfiltration domains. It identifies the creation of files with known malicious Chrome extension IDs (ending in '.crx') and network connections to hardcoded C2 and exfiltration domains linked to the ShadyPanda campaign.
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Dasom Kim@none028
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Detections.ai Community
11 months ago
220311
This rule detects the presence and activity of the ShadyPanda malware campaign, specifically focusing on malicious Chrome extensions and their associated command and control (C2) and data exfiltration domains. It identifies the creation of files with known malicious Chrome extension IDs (ending in '.crx') and network connections to hardcoded C2 and exfiltration domains linked to the ShadyPanda campaign.
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doyou know@doyouknow
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Detections.ai Community
11 months ago
124131,295
This rule detects 3 types of suspicious activities: first, the presence of files matching a list of known malicious SHA256 hashes associated with Sha1-Hulud; second, suspicious process behavior involving file deletion commands and third traffic towards potential C2.
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Vaasudev K@SIEMThatComing
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Detections.ai Community
11 months ago
391389
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