Detections

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

3,989 detections

Detects the use of WebDAV by a client, specifically identifying the 'Microsoft-WebDAV-MiniRedir/' user agent during a GET request. This behavior is often associated with 'DownloadCradle' techniques used by adversaries to download malicious content or exfiltrate data.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
1021
Detects HTTP User-Agent strings that end with an equal sign, which can be an indicator of Base64 encoding. This technique is often used by malware to obfuscate C2 communications.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
1021
This rule detects potential Command and Control (C2) communication associated with the Goofy Guineapig backdoor. It specifically looks for HTTP/S requests originating from a user agent string characteristic of the malware ('Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.71 Safari/537.36') communicating with the domain 'static.tcplog.com'. This combination of user agent and destination domain is indicative of Goofy Guineapig C2 activity.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0020
Detects the execution of 'curl.exe' when a custom User-Agent string is specified using either the '-A' or '--user-agent' command-line options. This behavior can be indicative of an adversary attempting to mimic legitimate web traffic while using a non-standard User-Agent to evade detection or to identify themselves to a C2 server.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0020
Detects suspicious file downloads directly from IP addresses using Wget.exe. This rule looks for executions of wget.exe where the command line contains an IP address, 'http', an output flag like '-O' or '--output-document', and a suspicious file extension. This behavior is often associated with adversaries transferring tools or malware onto a compromised system.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0013
Detects suspicious user agent strings used by malware in proxy logs
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
003
Detects Baby Shark C2 Framework default communication patterns
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
002
Detects a suspicious curl process start on linux with set useragent options
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
001
Detects WebDav DownloadCradle
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
001
Detects suspicious encoded User-Agent strings, as seen used by some malware.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
001
Detects the execution of suspicious child processes from macOS installer package parent process. This includes osascript, JXA, curl and wget amongst other interpreters
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Detects wannacry killswitch domain dns queries
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Detects suspicious malformed user agent strings in proxy logs
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Detects User Agent strings that end with an equal sign, which can be a sign of base64 encoding.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Yara rule that detects NjRAT backdoor.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
2 years ago
000
This rule detects the Linodas backdoor on Linux systems by identifying specific byte patterns related to its persistence mechanisms for Ubuntu and RedHat distributions, network communication functions, and machine ID generation routines. The rule looks for a combination of these patterns to ensure high fidelity detection of the malware.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
2 years ago
0025
This YARA rule detects the Konni backdoor by identifying specific byte patterns related to its network communication, C2 command handling, CAB file creation and upload, and payload expansion functionalities. The rule looks for a combination of these distinct code segments within a file, indicating the presence of the Konni malware.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
3 years ago
0030
This rule detects the Konni backdoor, a remote access tool. It identifies specific byte patterns associated with the malware's network communication, handling of C2 commands, creation and uploading of CAB files, and payload expansion. The rule is designed to catch the presence of this specific malware family.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
3 years ago
0027
This YARA rule detects the Lorenz ransomware by identifying specific byte patterns associated with its file encryption routines, file discovery mechanisms, scheduled task creation for persistence, and remote connection functionalities. The rule includes two main versions of the ransomware's code, covering different implementations of these malicious activities.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
4 years ago
0025
This YARA rule detects the TimeCrypt ransomware by identifying specific bytecode patterns related to file discovery, file encryption, and network communication activities, including HTTP and DNS requests. The rule looks for a combination of these patterns within executable files (MZ header).
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
5 years ago
0026
Yara rule that detects TimeCrypt ransomware.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
5 years ago
000
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