libcurl (2017_01_04 18_17_48 UTC).dll threat report

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• Overview
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Analyst brief

What this report says

GridinSoft Anti-Malware detects libcurl (2017_01_04 18_17_48 UTC).dll as PUP.Gen. The sample was last observed on 2024-08-05 23:02:05 (2 years ago) and reports publisher metadata associated with The cURL library, http://curl.haxx.se/ / The cURL library. This detection belongs to the PUP report group, where related files are organized by family-level behavior and prevalence.

This page combines the detection verdict with file identity, publisher metadata, alternate names, observed paths, geography, OS signals, and PE details so the report reads as a triage record rather than a standalone download page.

GridinSoft Anti-Malware detection

Detected by GridinSoft before you download

The current ThreatInfo record shows this exact file hash detected as PUP.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

PUP.Gen

Recommended action

Scan and remove

Last analysis

2024-08-05 23:02:05 (2 years ago)

File hash

ea4019690e04d2444b84bace88b57209

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Why it matters

Why GridinSoft flags this file

Detection

GridinSoft identifies the sample as PUP.Gen, part of the PUP threat category.

Category context

Potentially unwanted programs, bundlers, installers, and utilities with intrusive behavior. Related PUP reports help compare this file with nearby detections, publishers, and hashes.

Timeline

First seen 2017-05-21 08:10:08 (9 years ago); latest analysis 2024-08-05 23:02:05 (2 years ago).

Publisher context

Company metadata: The cURL library, http://curl.haxx.se/. Product metadata: The cURL library.

Digital signature

Signed by OOO Vympel. The signature is reported as valid, but signed files can still be bundled or abused.

Aliases

This hash has appeared under multiple file names, which can happen with repackaging, bundling, or deliberate renaming.

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. Review the PUP category for related samples and common context.

libcurl (2017_01_04 18_17_48 UTC).dll is a Windows file recorded in the ThreatInfo database. It is associated with The cURL library. The reported company name is The cURL library, http://curl.haxx.se/. The current detection status is PUP.Gen, based on the latest analysis from 2024-08-05 23:02:05 (2 years ago). ThreatInfo groups this verdict with PUP reports for broader family-level investigation.

If libcurl (2017_01_04 18_17_48 UTC).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 PUP.Gen.

File Details

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.

Overview

The signature on libcurl (2017_01_04 18_17_48 UTC).dll is reported as valid. A valid signature helps confirm publisher identity, but it does not automatically make the file safe if the installer was bundled, abused, or downloaded from an untrusted source.

ThreatInfo has observed libcurl (2017_01_04 18_17_48 UTC).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.

This hash has been seen with multiple file names. Alternate names can appear when software is updated, copied between folders, packed by an installer, or deliberately renamed to avoid recognition. Compare the exact MD5 above before assuming two names refer to the same file.

Geographic signal

Observed country distribution

ThreatInfo has seen libcurl (2017_01_04 18_17_48 UTC).dll across 58 countries. Use this signal to compare local evidence with where the sample is most often reported.

Top country Brazil

Share 11.4%

Low High activity

The strongest geographic signal for this file is Brazil with 11.4% of observed hits. Geographic distribution can help identify targeted campaigns, regional software bundles, or where a file is most commonly reported.

The most common operating system signal for libcurl (2017_01_04 18_17_48 UTC).dll is Windows 7 with 48.3% 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

libcurl (2017_01_04 18_17_48 UTC).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 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 PUP.Gen

This report identifies libcurl (2017_01_04 18_17_48 UTC).dll by MD5 ea4019690e04d2444b84bace88b57209. It is part of the PUP report group. If the same file is present on your device, scan the system and remove the detected object after confirming the hash and location.

Download GridinSoft Anti-Malware Scan the device and confirm whether this exact hash is present. Check this hash on VirusTotal

Recommended next steps

• Compare the local file MD5 with ea4019690e04d2444b84bace88b57209.
• Check the file path, publisher, and signature against the details in this report.
• Run a GridinSoft scan and remove the object if the same hash is found. Use the PUP category to compare similar reports.