amr adaptive coding 7.5.66.exe threat report

MD5 c1b7304fc1525fec7dbf770d9a7e6366
Latest seen 2024-07-07 23:07:47 (2 years ago)
First seen 2024-07-07 23:07:32 (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.Wacatac. 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.Wacatac
Recommended action
Scan and remove
Last analysis
2024-07-07 23:07:47 (2 years ago)
File hash
c1b7304fc1525fec7dbf770d9a7e6366
Download Anti-Malware

Why it matters

Why GridinSoft flags this file

Detection

GridinSoft identifies the sample as Ransom.Wacatac.

Timeline

First seen 2024-07-07 23:07:32 (2 years ago); latest analysis 2024-07-07 23:07:47 (2 years ago).

Publisher context

Company metadata: Viki Software. Product metadata: AMR Adaptive Coding.

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.

amr adaptive coding 7.5.66.exe is a Windows file recorded in the ThreatInfo database. It is associated with AMR Adaptive Coding. The reported company name is Viki Software. The current detection status is Ransom.Wacatac, based on the latest analysis from 2024-07-07 23:07:47 (2 years ago).

If amr adaptive coding 7.5.66.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.Wacatac.

Product Name: AMR Adaptive Coding
Company Name: Viki Software
MD5: c1b7304fc1525fec7dbf770d9a7e6366
Size: 3 MB
First Published: 2024-07-07 23:07:32 (2 years ago)
Latest Published: 2024-07-07 23:07:47 (2 years ago)
Status: Ransom.Wacatac (on last analysis)
Analysis Date: 2024-07-07 23:07:47 (2 years ago)
amr adaptive coding 7.5.66.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.

%commonappdata%
%localappdata%

ThreatInfo has observed amr adaptive coding 7.5.66.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 Germany 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 amr adaptive coding 7.5.66.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.

amr adaptive coding 7.5.66.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: 0x000b9b84

PE Sections:

Name Size of data MD5
.text 782336 81187c3582a1982ca37eef83b7d4c2f5
.jhead2 20480 fdfca142829872b3c4866071c8991d27
.data 12288 7e83dabf119eac4109ca015383be33f4
.rsrc 606208 508c1389babeb8fbf8c6f0e8a5e8654a
.khead2 2249203 40c9c953cef96e8d3da299f680c15ff0

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: