Detections

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

52 detections

Detects attempts by the Remcos RAT to access audio and video capture devices (camera, microphone) by monitoring process command lines for keywords related to these devices. It also looks for processes initiated by PowerShell or cmd.exe, which are common methods for malware execution.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
006
Detects attempts by the Remcos RAT to access audio and video capture devices (camera, microphone) by monitoring process command lines for keywords related to these devices. It also looks for processes initiated by PowerShell or cmd.exe, which are common methods for malware execution.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
004
Detects an untrusted process creating WAV or compressed audio files in a temporary path after loading multimedia capture components. This behavior is indicative of potential audio surveillance or data collection.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
001
Detects audio capture and exfiltration via RTP media streams
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
007
This rule detects potential audio stream exfiltration using the Real-time Transport Protocol (RTP). It specifically looks for UDP traffic with a packet size between 160 and 200 bytes, which is characteristic of some RTP audio streams. A threshold of 100 such packets from the same source within 10 seconds triggers the alert, indicating a sustained audio stream.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects the enumeration of camera or microphone hardware using the 'Get-PnpDevice' PowerShell cmdlet. This behavior is a precursor to surveillance activities such as webcam capture or audio recording and has been associated with the Moonrise RAT.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
60112
Detects RAT command structure
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Daniel Jeremiah@daniyyell
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Detections.ai Community
10 months ago
0015
Detects attempts to record audio using the arecord and ecasound utilities.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
11 months ago
000
Potential adversaries accessing the microphone and webcam in an endpoint.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
0021
Detects Processes accessing the camera and microphone from suspicious folder
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
0015
Detects Processes accessing the camera and microphone from suspicious folder
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
009
Detects the execution of Chromium-based browsers with command-line flags that automatically accept camera/microphone access or select desktop capture sources, which can be used for spying.
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Michael Francess@MFrancess
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Detections.ai Community
1 year ago
25647
Detects audio capture via PowerShell Cmdlet.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
006
Detect attacker collecting audio via SoundRecorder application.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
005
Detect attacker collecting audio via SoundRecorder application.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
005
Detects audio capture via PowerShell Cmdlet.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
104
This rule detects rare audio devices used in Zoom meetings by analyzing Zoom logs. It specifically looks for speaker devices that are not commonly observed (e.g., not iPhone, FaceTime, AirPods, or MacBook built-in devices). The intent is to identify unusual device usage that could be indicative of Remote Employment Fraud (REF), where actors might use atypical setups. The rule uses a 'rare' command to find the top 50 least frequent speaker devices after filtering out common ones.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
0036
This rule detects rare video devices used during Zoom meetings. The intent is to identify unusual device information that might be associated with actors performing Remote Employment Fraud (REF). The rule filters out common devices like iPhones, FaceTimes, AirPods, and MacBooks to focus on less common camera, speaker, and microphone devices. Detecting this activity requires careful analysis, regular review, and a thorough understanding of the audio and video devices commonly used within an environment.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
0035
This rule detects rare input devices (microphones) used during Zoom meetings. It specifically looks for microphone devices that are not commonly observed, while excluding typical devices like iPhones, FaceTimes, AirPods, and MacBooks. The primary goal is to identify unusual device usage that could be indicative of Remote Employment Fraud (REF), where actors might use non-standard equipment. This is a hunting query designed to flag anomalies for further investigation.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
0033
Detects attempts to record audio using the `arecord` and `ecasound` utilities on Linux systems. This rule specifically looks for the execution of `arecord` with common audio recording flags (`-vv`, `-fdat`) or the `ecasound` utility making a `memfd_create` syscall, which could indicate audio processing or recording.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
0026
This analytic detects the creation of .wav files in the AppData\Roaming folder, a behavior associated with Remcos RAT malware. Remcos RAT is known to store audio recordings in this location for data exfiltration. The detection leverages endpoint process and filesystem data to identify this activity. This activity is significant as it indicates potential unauthorized data collection and exfiltration by malware, which could lead to sensitive information being sent to an attacker's command and control server, compromising the affected system's confidentiality.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
1033
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