PocoFoundationd.dll threat report

MD5 027eae3172bb148ea8b82422a517aa20
Latest seen 2021-01-07 00:21:10 (5 years ago)
First seen 2021-01-07 00:21:10 (5 years ago)
Size 3 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
2021-01-07 00:21:10 (5 years ago)
File hash
027eae3172bb148ea8b82422a517aa20
Download Anti-Malware

Why it matters

Why GridinSoft flags this file

Detection

GridinSoft identifies the sample as Worm.Ramnit.

Timeline

First seen 2021-01-07 00:21:10 (5 years ago); latest analysis 2021-01-07 00:21:10 (5 years ago).

Publisher context

Company metadata: Applied Informatics Software Engineering GmbH. Product metadata: POCO C++ Libraries - http://pocoproject.org.

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.

PocoFoundationd.dll is a Windows file recorded in the ThreatInfo database. It is associated with POCO C++ Libraries - http://pocoproject.org. The reported company name is Applied Informatics Software Engineering GmbH. The current detection status is Worm.Ramnit, based on the latest analysis from 2021-01-07 00:21:10 (5 years ago).

If PocoFoundationd.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: POCO C++ Libraries - http://pocoproject.org
Company Name: Applied Informatics Software Engineering GmbH
MD5: 027eae3172bb148ea8b82422a517aa20
Size: 3 MB
First Published: 2021-01-07 00:21:10 (5 years ago)
Latest Published: 2021-01-07 00:21:10 (5 years ago)
Status: Worm.Ramnit (on last analysis)
Analysis Date: 2021-01-07 00:21:10 (5 years ago)
PocoFoundationd.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.

%profile%\downloads\mrt+dongle+v2.60+crack+-+komputerdia\mrt dongle v2.60 crack - komputerdia\mrt 2.60 setup komputerdia\date

ThreatInfo has observed PocoFoundationd.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.

Windows 10 100.0%

The most common operating system signal for PocoFoundationd.dll 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.

PocoFoundationd.dll is identified as pe for 32 systems. The subsystem is Windows CUI. PE header values are useful for triage, especially when they do not match the expected publisher, product, or release timeline.

Subsystem: Windows CUI
PE Type: pe
OS Bitness: 32
Image Base: 0x10000000
Entry Address: 0x00341000

PE Sections:

Name Size of data MD5
.text 2411520 ee575de57cb22cdd83fbfe387854bdd8
.rdata 826368 efd6a100b1d13a28a9a71733cc2a438d
.data 17920 66f639f09928d7b3276c5a0a279d9448
.idata 25600 3e4c2068cfe3667aeaddf03434b860e4
.rsrc 5120 df583e9f7dd4b9c5440a17622df6f010
.reloc 103424 6d5e67e462c7906bf18e87ad9926e68c
.text 104448 a9f297f49449f08005f9e61c8d8407df

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: