PlugInEffNp.dll threat report

MD5 39e12d14515bdcde490067081ffa5a7f
Latest seen 2021-01-06 08:25:51 (5 years ago)
First seen 2021-01-06 08:25:51 (5 years ago)
Size 392 KB

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 08:25:51 (5 years ago)
File hash
39e12d14515bdcde490067081ffa5a7f
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 08:25:51 (5 years ago); latest analysis 2021-01-06 08:25:51 (5 years ago).

Publisher context

Company metadata: Seiko Epson Corporation. Product metadata: UtilImageFile EFF(not scrambled) Plugin.

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.

PlugInEffNp.dll is a Windows file recorded in the ThreatInfo database. It is associated with UtilImageFile EFF(not scrambled) Plugin. The reported company name is Seiko Epson Corporation. The current detection status is Worm.Ramnit, based on the latest analysis from 2021-01-06 08:25:51 (5 years ago).

If PlugInEffNp.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: UtilImageFile EFF(not scrambled) Plugin
Company Name: Seiko Epson Corporation
MD5: 39e12d14515bdcde490067081ffa5a7f
Size: 392 KB
First Published: 2021-01-06 08:25:51 (5 years ago)
Latest Published: 2021-01-06 08:25:51 (5 years ago)
Status: Worm.Ramnit (on last analysis)
Analysis Date: 2021-01-06 08:25:51 (5 years ago)
PlugInEffNp.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%\epson software\easy photo print

ThreatInfo has observed PlugInEffNp.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 PlugInEffNp.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.

PlugInEffNp.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: 0x0001e000

PE Sections:

Name Size of data MD5
.text 81920 7dd21af2c8dcd22cb7ffb1baccb59f29
.rdata 20480 5dccf8a636ef853fc0c1ab186209e8ba
.data 4096 7028b755312fbc5e33becde9da848c6f
.rsrc 4096 7f6d0aa5942b9937c4fe3edb2a97ddbd
.reloc 8192 eb54781df25401f349b0ba538d9f3a26
.text 278528 9c985935524e3fec225baedd6999c0a2

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: