autoDiagnose.dll.o file report

MD5 2fb937a88f12abc094e8b7917b3789aa
Latest seen 2021-11-11 21:58:00 (4 years ago)
First seen 2017-05-24 18:07:37 (8 years ago)
Size 358 KB

Why it matters

Evidence available for this file

Detection

No final classification is available yet.

Timeline

First seen 2017-05-24 18:07:37 (8 years ago); latest analysis 2021-11-11 21:58:00 (4 years ago).

Publisher context

Product metadata: autoDiagnose Dynamic Link Library.

Digital signature

Signed by BeiJing Baidu Netcom Science Technology Co., Ltd. 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. 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.

autoDiagnose.dll.o is a Windows file recorded in the ThreatInfo database. It is associated with autoDiagnose Dynamic Link Library. The current detection status is Undefined, based on the latest analysis from 2021-11-11 21:58:00 (4 years 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: autoDiagnose Dynamic Link Library
MD5: 2fb937a88f12abc094e8b7917b3789aa
Size: 358 KB
First Published: 2017-05-24 18:07:37 (8 years ago)
Latest Published: 2021-11-11 21:58:00 (4 years ago)
Status: Undefined (on last analysis)
Analysis Date: 2021-11-11 21:58:00 (4 years ago)

The signature on autoDiagnose.dll.o 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%\baidu\baiduyunguanjia
%appdata%\baidu\baidunetdisk
%temp%\baidu
%profile%\downloads\바이두 5.51 setup+portable +crack+kor
%sysdrive%\downloads\百度云
%appdata%\baidu
%appdata%\baidu\baiduyunguanjia\autoupdate\download\mainapp

ThreatInfo has observed autoDiagnose.dll.o 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.

autodiagnose.dll
autoDiagnose.dll
autoDiagnose.dll.o

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.

41.7%
25.0%
25.0%
8.3%

The strongest geographic signal for this file is Taiwan with 41.7% of observed hits. Geographic distribution can help identify targeted campaigns, regional software bundles, or where a file is most commonly reported.

Windows 10 50.0%
Windows 7 50.0%

The most common operating system signal for autoDiagnose.dll.o is Windows 10 with 50.0% 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.

autoDiagnose.dll.o 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: 0x00035c5e

PE Sections:

Name Size of data MD5
.text 225280 e31810db2d5b0732bf984a7e00e048fa
.rdata 61440 b014128d9a55430be6179e8219cd3b3c
.data 40960 99eb24b18be4cbe2126bdd2fb75622ab
.rsrc 4096 5a465a4ab13718847a92eb9cf373effb
.reloc 24576 3138cd98cab37089d80eaf5f88ac7b29

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: