unrarDLL.dll threat report

MD5 225fac53f71012ed8917b4892e4639cf
Latest seen 2021-01-13 09:19:52 (5 years ago)
First seen 2021-01-13 09:19:52 (5 years ago)
Size 522 KB
Publisher Alexander Roshal

GridinSoft Anti-Malware detection

Detected by GridinSoft before you download

The current ThreatInfo record shows this exact file hash detected as Trojan.Gen. 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
Trojan.Gen
Recommended action
Scan and remove
Last analysis
2021-01-13 09:19:52 (5 years ago)
File hash
225fac53f71012ed8917b4892e4639cf
Download Anti-Malware

Why it matters

Why GridinSoft flags this file

Detection

GridinSoft identifies the sample as Trojan.Gen.

Timeline

First seen 2021-01-13 09:19:52 (5 years ago); latest analysis 2021-01-13 09:19:52 (5 years ago).

Publisher context

Company metadata: Alexander Roshal. Product metadata: RAR decompression library.

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.

unrarDLL.dll is a Windows file recorded in the ThreatInfo database. It is associated with RAR decompression library. The reported company name is Alexander Roshal. The current detection status is Trojan.Gen, based on the latest analysis from 2021-01-13 09:19:52 (5 years ago).

If unrarDLL.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 Trojan.Gen.

Product Name: RAR decompression library
Company Name: Alexander Roshal
MD5: 225fac53f71012ed8917b4892e4639cf
Size: 522 KB
First Published: 2021-01-13 09:19:52 (5 years ago)
Latest Published: 2021-01-13 09:19:52 (5 years ago)
Status: Trojan.Gen (on last analysis)
Analysis Date: 2021-01-13 09:19:52 (5 years ago)
unrarDLL.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%

ThreatInfo has observed unrarDLL.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 Indonesia 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 unrarDLL.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.

unrarDLL.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: 0x00400000
Entry Address: 0x00038000

PE Sections:

Name Size of data MD5
.text 141312 6984f3e856591720a5f54915b73f5fb8
.data 16384 13e33e9bba9b76113d597ed995037403
.tls 512 bf619eac0cdf3f68d496ea9344137e8b
.idata 2560 af173ef1bd2b326d9c95f936ceb1e032
.edata 512 de2a0e2d265b42700b77be7b29606630
.rsrc 1024 481ca5d4f23dd52e6fdf7f9aeea01e43
.reloc 4608 6b739b899531e3398eb45d08a31a8fee
.text 366080 0f73b0ac356ff72afd7b81aad891f9fe

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: