Detections

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

6,208 detections

Detects attempts of decoding encoded Gzip archives via PowerShell.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Detects usage of COM objects that can be abused to download files in PowerShell by CLSID
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Detects attempts of decoding a base64 Gzip archive via PowerShell. This technique is often used as a method to load malicious content into memory afterward.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Detects the use of 3proxy, a tiny free proxy server
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Detects execution of Netcat. Adversaries may use a non-application layer protocol for communication between host and C2 server or among infected hosts within a network
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Detects the use of Ngrok, a utility used for port forwarding and tunneling, often used by threat actors to make local protected services publicly available.
Involved domains are bin.equinox.io for download and *.ngrok.io for connections.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
Execution of ssh.exe to perform data exfiltration and tunneling through RDP
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
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
Detects a script interpreter (Wscript/Cscript) initiating a local network connection to download or execute a script hosted on a shared folder.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
This YARA rule detects the SideTwist backdoor by identifying specific byte patterns associated with its core functionalities. These functionalities include anti-sandbox detection, collection of host information, communication with a command and control (C2) server, parsing C2 responses, downloading files from the C2, and replying to the C2 server. The rule requires all these distinct patterns to be present within a PE file (identified by the 'MZ' header) to trigger a detection, aiming to minimize false positives.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
3 years ago
0028
This rule detects the LimeRAT backdoor by identifying specific byte patterns associated with its persistence mechanism, cryptocurrency mining capabilities, downloader functionality, and network communication routines. The rule looks for a combination of these distinct patterns within a file to confirm the presence of LimeRAT.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
3 years ago
0033
Detects the use of Replace.exe which can be used to replace file with another file
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
3 years ago
002
Detects a script interpreter wscript/cscript opening a network connection to a non-local network. Adversaries may use script to download malicious payloads.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
3 years ago
001
Detects execution of "findstr" with specific flags and a remote share path. This specific set of CLI flags would allow "findstr" to download the content of the file located on the remote share as described in the LOLBAS entry.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
3 years ago
001
This Yara rule detects the AgentRacoon backdoor, which is identified by specific bytecode patterns related to unpacking responses, file uploads, performing requests, retrieving DNS TXT records, and its main operational loop. The rule targets .NET (MSIL) executables, indicated by the 'uint16(0) == 0x5A4D' condition for MZ header and the nature of the bytecode patterns.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
3 years ago
0030
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 rule detects the Minodo backdoor by identifying a combination of specific byte patterns (YARA signatures) within executable files. These patterns correspond to functions responsible for generating system IDs, encrypting and sending data, gathering system information, copying payloads into memory, and executing payloads from temporary locations. The presence of all these patterns indicates the likely presence of the Minodo backdoor.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
3 years ago
0028
An adversary may use legitimate desktop support and remote access software, such as Team Viewer, Go2Assist, LogMein, AmmyyAdmin, etc, to establish an interactive command and control channel to target systems within networks.
These services are commonly used as legitimate technical support software, and may be allowed by application control within a target environment.
Remote access tools like VNC, Ammyy, and Teamviewer are used frequently when compared with other legitimate software commonly used by adversaries. (Citation: Symantec Living off the Land)
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
4 years ago
000
An adversary may use legitimate desktop support and remote access software, such as Team Viewer, Go2Assist, LogMein, AmmyyAdmin, etc, to establish an interactive command and control channel to target systems within networks.
These services are commonly used as legitimate technical support software, and may be allowed by application control within a target environment.
Remote access tools like VNC, Ammyy, and Teamviewer are used frequently when compared with other legitimate software commonly used by adversaries. (Citation: Symantec Living off the Land)
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
4 years ago
001
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
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