audiooutputswitcher32_64.exe threat report

MD5 505cb060f741fde16d2d0f230d7ab6b3
Latest seen 2024-07-26 23:02:08 (2 years ago)
First seen 2024-07-26 23:02:08 (2 years ago)
Size 3 MB
Publisher Viki Software

GridinSoft Anti-Malware detection

Detected by GridinSoft before you download

The current ThreatInfo record shows this exact file hash detected as Ransom.Sabsik. Download GridinSoft Anti-Malware to scan the device, confirm whether this file is present, and remove the detected object if it is found.

Detection name
Ransom.Sabsik
Recommended action
Scan and remove
Last analysis
2024-07-26 23:02:08 (2 years ago)
File hash
505cb060f741fde16d2d0f230d7ab6b3
Download Anti-Malware

Why it matters

Why GridinSoft flags this file

Detection

GridinSoft identifies the sample as Ransom.Sabsik.

Timeline

First seen 2024-07-26 23:02:08 (2 years ago); latest analysis 2024-07-26 23:02:08 (2 years ago).

Publisher context

Company metadata: Viki Software. Product metadata: BACKEND Design Tool.

Observed locations

ThreatInfo has seen this file in user or system paths listed below. Unexpected locations increase the need for local verification.

Recommended action

What to do next

  1. Compare the MD5 above with the file found on the device.
  2. Check whether the file appears in the observed locations or under one of the alternate names.
  3. Run GridinSoft Anti-Malware to confirm the detection and remove the file if it is present.

audiooutputswitcher32_64.exe is a Windows file recorded in the ThreatInfo database. It is associated with BACKEND Design Tool. The reported company name is Viki Software. The current detection status is Ransom.Sabsik, based on the latest analysis from 2024-07-26 23:02:08 (2 years ago).

If audiooutputswitcher32_64.exe appears on your computer unexpectedly, treat it as suspicious. Check its location, digital signature, and recent system changes before allowing it to run. A full anti-malware scan is recommended when this file is detected as Ransom.Sabsik.

Product Name: BACKEND Design Tool
Company Name: Viki Software
MD5: 505cb060f741fde16d2d0f230d7ab6b3
Size: 3 MB
First Published: 2024-07-26 23:02:08 (2 years ago)
Latest Published: 2024-07-26 23:02:08 (2 years ago)
Status: Ransom.Sabsik (on last analysis)
Analysis Date: 2024-07-26 23:02:08 (2 years ago)
audiooutputswitcher32_64.exe detection screenshot

The screenshot is a visual record of a GridinSoft Anti-Malware detection for this sample. Use the hash and metadata above as the primary identifiers when comparing the file on your system.

%localappdata%
%commonappdata%

ThreatInfo has observed audiooutputswitcher32_64.exe in the locations listed above. Files found in temporary folders, user profile folders, startup locations, or unusual application directories should be reviewed more carefully than files installed under a known program directory.

100.0%

The strongest geographic signal for this file is Ecuador with 100.0% of observed hits. Geographic distribution can help identify targeted campaigns, regional software bundles, or where a file is most commonly reported.

Windows 10 100.0%

The most common operating system signal for audiooutputswitcher32_64.exe is Windows 10 with 100.0% of observed hits. If your system differs from the common profile, check whether the file was introduced by a specific installer, archive, or removable device.

audiooutputswitcher32_64.exe is identified as pe for 32 systems. The subsystem is Windows GUI. PE header values are useful for triage, especially when they do not match the expected publisher, product, or release timeline.

Subsystem: Windows GUI
PE Type: pe
OS Bitness: 32
Image Base: 0x00400000
Entry Address: 0x000b8414

PE Sections:

Name Size of data MD5
.text 774144 4ea5146f19a068b7488f0f556dee13eb
.nhead8 12288 10e503c61073a160af4f473fa03b2ead
.data 16384 923b5972bcdbd5893ff65326148ba1bd
.rsrc 479232 54a304768c42d723dab39e944b707685
.ohead8 2120744 89d5ea4eb44d2720b7012c34b54865b3

PE section names and hashes can reveal packing, injected resources, or unusual build artifacts. Sections with uncommon names, very large raw data, or hashes that differ from a trusted copy deserve additional review.

More information: