Skp2Obj.dll threat report

MD5 e651d5b4908dbbac7601a6143319f43f
Latest seen 2021-01-06 07:41:25 (5 years ago)
First seen 2021-01-06 07:41:25 (5 years ago)
Size 651 KB
Product OBJ 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 07:41:25 (5 years ago)
File hash
e651d5b4908dbbac7601a6143319f43f
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 07:41:25 (5 years ago); latest analysis 2021-01-06 07:41:25 (5 years ago).

Publisher context

Company metadata: Trimble Navigation Limited. Product metadata: OBJ 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.

Skp2Obj.dll is a Windows file recorded in the ThreatInfo database. It is associated with OBJ 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 07:41:25 (5 years ago).

If Skp2Obj.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: OBJ Exporter
Company Name: Trimble Navigation Limited
MD5: e651d5b4908dbbac7601a6143319f43f
Size: 651 KB
First Published: 2021-01-06 07:41:25 (5 years ago)
Latest Published: 2021-01-06 07:41:25 (5 years ago)
Status: Worm.Ramnit (on last analysis)
Analysis Date: 2021-01-06 07:41:25 (5 years ago)
Skp2Obj.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 Skp2Obj.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 Skp2Obj.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.

Skp2Obj.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: 0x00090000

PE Sections:

Name Size of data MD5
.text 465408 1a1809c2ae91cc80472cf6848efafb3a
.rdata 69632 8199074355cd7bed8879c03b72be9914
.data 3072 1f1d2af2eea62400d50ce41a6c2f86a0
.idata 7680 fc3631c1497bc6cad9948413330f648a
.didat 6144 6dfdba5251c82639bc5494ca5c8c68c8
.rsrc 3072 c787bb81bb4f40ed1cb1112f479b1b69
.reloc 18944 9dffb9d575f9c2aabdb1f406c0b2018d
.text 91648 7db572e8611073267f36fce71574a3fd

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: