Skp2Ifc.dll threat report

MD5 718e4ffd1d8e8e357eba7d680edd90a5
Latest seen 2021-01-06 07:56:54 (5 years ago)
First seen 2021-01-06 07:56:54 (5 years ago)
Size 1 MB

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 07:56:54 (5 years ago)
File hash
718e4ffd1d8e8e357eba7d680edd90a5
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 07:56:54 (5 years ago); latest analysis 2021-01-06 07:56:54 (5 years ago).

Publisher context

Company metadata: Trimble Navigation Limited. Product metadata: IFC 2x3 TC1 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.

Skp2Ifc.dll is a Windows file recorded in the ThreatInfo database. It is associated with IFC 2x3 TC1 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 07:56:54 (5 years ago).

If Skp2Ifc.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: IFC 2x3 TC1 Exporter
Company Name: Trimble Navigation Limited
MD5: 718e4ffd1d8e8e357eba7d680edd90a5
Size: 1 MB
First Published: 2021-01-06 07:56:54 (5 years ago)
Latest Published: 2021-01-06 07:56:54 (5 years ago)
Status: Worm.Ramnit (on last analysis)
Analysis Date: 2021-01-06 07:56:54 (5 years ago)
Skp2Ifc.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 Skp2Ifc.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 Skp2Ifc.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.

Skp2Ifc.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: 0x01c0b000

PE Sections:

Name Size of data MD5
.text 979968 46ae935e4df1aa73b5722afb2d431fa1
.rdata 137216 23d534b6660224bdf4d225684110d21d
.data 2560 1d04509c9403e7399119c1c2dc6348bd
.idata 7168 9d0abb858af4a0d643fd0de53e78a9a1
.didat 3072 f999f1d2366b6b2aab43c5a21aea21eb
.rsrc 3072 26e48c587623a48e4bf33a9276d0ac4f
.reloc 144384 83409a1cfc15b347a997c189cf23bcb5
.text 91648 cb0a119e1b8db5914c8cbfdbfd673bc7

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: