Skp2VRML.dll threat report

MD5 0aa1dbeb0ec34044a13da6de156e4d81
Latest seen 2021-01-06 07:51:29 (5 years ago)
First seen 2021-01-06 07:51:29 (5 years ago)
Size 672 KB
Product VRML Exporter

GridinSoft Anti-Malware detection

Detected by GridinSoft before you download

The current ThreatInfo record shows this exact file hash detected as Worm.Ramnit. 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
Worm.Ramnit
Recommended action
Scan and remove
Last analysis
2021-01-06 07:51:29 (5 years ago)
File hash
0aa1dbeb0ec34044a13da6de156e4d81
Download Anti-Malware

Why it matters

Why GridinSoft flags this file

Detection

GridinSoft identifies the sample as Worm.Ramnit.

Timeline

First seen 2021-01-06 07:51:29 (5 years ago); latest analysis 2021-01-06 07:51:29 (5 years ago).

Publisher context

Company metadata: Trimble Navigation Limited. Product metadata: VRML Exporter.

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.

Skp2VRML.dll is a Windows file recorded in the ThreatInfo database. It is associated with VRML Exporter. The reported company name is Trimble Navigation Limited. The current detection status is Worm.Ramnit, based on the latest analysis from 2021-01-06 07:51:29 (5 years ago).

If Skp2VRML.dll 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 Worm.Ramnit.

Product Name: VRML Exporter
Company Name: Trimble Navigation Limited
MD5: 0aa1dbeb0ec34044a13da6de156e4d81
Size: 672 KB
First Published: 2021-01-06 07:51:29 (5 years ago)
Latest Published: 2021-01-06 07:51:29 (5 years ago)
Status: Worm.Ramnit (on last analysis)
Analysis Date: 2021-01-06 07:51:29 (5 years ago)
Skp2VRML.dll 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.

%programfiles%\sketchup\sketchup 2016

ThreatInfo has observed Skp2VRML.dll 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 Philippines 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 7 100.0%

The most common operating system signal for Skp2VRML.dll is Windows 7 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.

Skp2VRML.dll 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: 0x10000000
Entry Address: 0x00096000

PE Sections:

Name Size of data MD5
.text 484864 74661463e17c3ddf0ab6d7ee1cab3f16
.rdata 71680 3b38676b6612f7455960333430a2975d
.data 3072 03a31335da9111e7c0e1def8c76533b9
.idata 7680 7d5ff0126014411359f18c937110f17d
.didat 6144 2efce395917ae0727836e3192eef8355
.rsrc 3072 fbf8b0bb8a6cc1d8074a6c27245de526
.reloc 19456 ab3a3f55ed907adf01fcb68cfb2cdb2e
.text 91648 f9d02576206ebd3180f8518dd23f7bb7

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: