ParaSupt73.dll threat report

MD5 83251bc7b7202c6c17f5d927a070c89c
Latest seen 2021-01-06 07:35:10 (5 years ago)
First seen 2021-01-06 07:35:10 (5 years ago)
Size 600 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 07:35:10 (5 years ago)
File hash
83251bc7b7202c6c17f5d927a070c89c
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 07:35:10 (5 years ago); latest analysis 2021-01-06 07:35:10 (5 years ago).

Publisher context

Company metadata: Siemens PLM Software.. Product metadata: Teamcenter DirectModel ParaSupt.

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.

ParaSupt73.dll is a Windows file recorded in the ThreatInfo database. It is associated with Teamcenter DirectModel ParaSupt. The reported company name is Siemens PLM Software.. The current detection status is Worm.Ramnit, based on the latest analysis from 2021-01-06 07:35:10 (5 years ago).

If ParaSupt73.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: Teamcenter DirectModel ParaSupt
Company Name: Siemens PLM Software.
MD5: 83251bc7b7202c6c17f5d927a070c89c
Size: 600 KB
First Published: 2021-01-06 07:35:10 (5 years ago)
Latest Published: 2021-01-06 07:35:10 (5 years ago)
Status: Worm.Ramnit (on last analysis)
Analysis Date: 2021-01-06 07:35:10 (5 years ago)
ParaSupt73.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%\autodesk\autocad 2013\inventor server

ThreatInfo has observed ParaSupt73.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 ParaSupt73.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.

ParaSupt73.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: 0x00083000

PE Sections:

Name Size of data MD5
.text 379392 1b98b1c8748c10487c804b43d4084d81
.rdata 116224 c9c263ce5c7390759387b90631a10fa7
.data 1536 30b710898fc537291601a10d20b07992
.rsrc 1536 938275ff90ac683970c2f56c7fcc4c39
.reloc 23040 58e17029394ed152d74fe405eda801c8
.text 91648 fc60f8f473119c9af95bb85c570283a4

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: