libcrypto-1_1.dll file report

MD5 c0e55a25dd5c5447f15eed0ca6552ab7
Latest seen 2025-12-22 23:02:18 (5 months ago)
First seen 2019-10-01 16:30:21 (6 years ago)
Size 2 MB

Why it matters

Evidence available for this file

Detection

No final classification is available yet.

Timeline

First seen 2019-10-01 16:30:21 (6 years ago); latest analysis 2025-12-22 23:02:18 (5 months ago).

Publisher context

Company metadata: The OpenSSL Project, https://www.openssl.org/. Product metadata: The OpenSSL Toolkit.

Digital signature

Signed by Python Software Foundation. The signature is reported as valid, but signed files can still be bundled or abused.

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. Use the hash and metadata below to verify the exact file identity.
  2. Review publisher, signature, paths, and PE details for inconsistencies.
  3. Run a local scan if the file appears unexpectedly or starts with Windows.

libcrypto-1_1.dll is a Windows file recorded in the ThreatInfo database. It is associated with The OpenSSL Toolkit. The reported company name is The OpenSSL Project, https://www.openssl.org/. The current detection status is Undefined, based on the latest analysis from 2025-12-22 23:02:18 (5 months ago).

ThreatInfo does not have a final classification for this file yet. Use the technical details below to compare the hash, size, signature, and observed locations with the copy found on your device.

Product Name: The OpenSSL Toolkit
Company Name: The OpenSSL Project, https://www.openssl.org/
MD5: c0e55a25dd5c5447f15eed0ca6552ab7
Size: 2 MB
First Published: 2019-10-01 16:30:21 (6 years ago)
Latest Published: 2025-12-22 23:02:18 (5 months ago)
Status: Undefined (on last analysis)
Analysis Date: 2025-12-22 23:02:18 (5 months ago)
Signed By: Python Software Foundation
Status: Valid

The signature on libcrypto-1_1.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.

%appdata%\youtubedownloader
%appdata%\youtubedownloader_upd
%appdata%\youtubedownloader_upd
%appdata%\youtubedownloader
%appdata%\youtubedownloader
%appdata%\youtubedownloader_upd
%appdata%\youtubedownloader
%appdata%\kodobi
%appdata%\youtubedownloader_upd
%appdata%\kodobi

ThreatInfo has observed libcrypto-1_1.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.

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The strongest geographic signal for this file is Russian Federation with 16.9% of observed hits. Geographic distribution can help identify targeted campaigns, regional software bundles, or where a file is most commonly reported.

Windows 10 80.6%
Windows 7 15.4%
Windows 8.1 3.2%
Windows Embedded 8.1 0.3%
Windows Server 2012 R2 0.3%
Windows Vista 0.1%

The most common operating system signal for libcrypto-1_1.dll is Windows 10 with 80.6% 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.

libcrypto-1_1.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: 0x00004881

PE Sections:

Name Size of data MD5
.text 1536000 60b0442d7a37415b0e6571e9d27c69af
.rdata 598528 074aadf295d4b26471653374c8f5d5e2
.data 5632 87b5fab1484126ff5a3edba451c77310
.idata 6656 46f494344e6946418714b7e3e18fea0a
.00cfg 512 f13347452d0ce5021e20673ebc8f405a
.rsrc 2048 97a629586715a0b761f756c2582175b2
.reloc 62464 97e4f4cce9363a7b73987170e470d408

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: