GridinSoft Threat Intelligence
libpng15.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 08:36:19 (5 years ago)
- File hash
- ce09fb98770190d039ce0816d8a23484
Why it matters
Why GridinSoft flags this file
GridinSoft identifies the sample as Worm.Ramnit.
First seen 2021-01-06 08:36:19 (5 years ago); latest analysis 2021-01-06 08:36:19 (5 years ago).
Product metadata: LibPNG.
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
libpng15.dll is a Windows file recorded in the ThreatInfo database. It is associated with LibPNG. The current detection status is Worm.Ramnit, based on the latest analysis from 2021-01-06 08:36:19 (5 years ago).
If libpng15.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: | LibPNG |
| MD5: | ce09fb98770190d039ce0816d8a23484 |
| Size: | 429 KB |
| First Published: | 2021-01-06 08:36:19 (5 years ago) |
| Latest Published: | 2021-01-06 08:36:19 (5 years ago) |
| Status: | Worm.Ramnit (on last analysis) | |
| Analysis Date: | 2021-01-06 08:36:19 (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 |
ThreatInfo has observed libpng15.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.
Geographic signal
Observed country distribution
ThreatInfo has seen libpng15.dll across 1 countries. Use this signal to compare local evidence with where the sample is most often reported.
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.
OS Version:
The most common operating system signal for libpng15.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
libpng15.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.
5cb62798b63de91df388822ec66e4396
36dceff808f95e4e4620cf373fff3658
dffc1e946fa3d8ac79f11b64e30ee0ea
d9bb3293a1831ce36b6d7f3101eed4a6
d04361628fcc20fcf519b211fe389445
85e668d93127306c18672ae320ba350e
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 libpng15.dll by MD5 ce09fb98770190d039ce0816d8a23484. If the same file is present on your device, scan the system and remove the detected object after confirming the hash and location.