GridinSoft Threat Intelligence
PDFLib.dll threat report
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 08:37:58 (5 years ago)
- File hash
- 9f3498fdc3c30c72b01162389994ae90
Why it matters
Why GridinSoft flags this file
GridinSoft identifies the sample as Worm.Ramnit.
First seen 2021-01-06 08:37:58 (5 years ago); latest analysis 2021-01-06 08:37:58 (5 years ago).
Company metadata: SEIKO EPSON CORP.. Product metadata: EPSON PDF Library.
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
- Compare the MD5 above with the file found on the device.
- Check whether the file appears in the observed locations or under one of the alternate names.
- Run GridinSoft Anti-Malware to confirm the detection and remove the file if it is present.
File context
PDFLib.dll is a Windows file recorded in the ThreatInfo database. It is associated with EPSON PDF Library. The reported company name is SEIKO EPSON CORP.. The current detection status is Worm.Ramnit, based on the latest analysis from 2021-01-06 08:37:58 (5 years ago).
If PDFLib.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.
File Details
| Product Name: | EPSON PDF Library |
| Company Name: | SEIKO EPSON CORP. |
| MD5: | 9f3498fdc3c30c72b01162389994ae90 |
| Size: | 880 KB |
| First Published: | 2021-01-06 08:37:58 (5 years ago) |
| Latest Published: | 2021-01-06 08:37:58 (5 years ago) |
| Status: | Worm.Ramnit (on last analysis) | |
| Analysis Date: | 2021-01-06 08:37:58 (5 years ago) |
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.
Common Places:
| %programfiles%\epson software\event manager\assistants |
ThreatInfo has observed PDFLib.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.
Geography:
1 observed countriesThe 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.
OS Version:
The most common operating system signal for PDFLib.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.
Analysis
PDFLib.dll is identified as pe for 32-bit 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.
PE Sections:
Section layout highlights raw-size concentration, repeated names, packer markers, and hashes that can be compared across related samples.
1a3bec5c57afc0774aa07dd10f91faeb
55ce7b8c544d499761e30a874a4dd1e9
a960c52a505ab75cce1863db1d71da0e
11c056f9a7fed46734ffc4ba46438ee2
1196ffdb7332a273b65b0498e802fa42
ed8558bfb6402b7a90ee93e1dd896ff8
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.
Report conclusion
GridinSoft detects this file as Worm.Ramnit
This report identifies PDFLib.dll by MD5 9f3498fdc3c30c72b01162389994ae90. If the same file is present on your device, scan the system and remove the detected object after confirming the hash and location.