MD5 Hash: 3cb03c134f7307866b3c52735cdfae76
SHA256 Hash: 72c4eb2b4c64291204cd97e14c54b3b01dd4ad29bd4e57926977a8bf1094a688
File size: 734208 bytes (717 KB.)
Last analysis: 11 Dec, 2017 06:31:46

Analysis MD5: 3cb03c134f7307866b3c52735cdfae76

Analysis of the file classifies it as a class E+ (Malicious). The file is malicious, do not use it. The trust index of this analysis is 77 % (high).



AutoKMS.exe is part of the Trojanstartpage.DAW malware. This file is a security risk for your system and the system of others.

Filename: AutoKMS.exe (Trojanstartpage.DAW)
Threat analysis: Malicious
Analysis trust:
Recent activity:
First seen: 10 Dec, 2011
Last seen: 10 Dec, 2011
Last analysis: 11 Dec, 2017
Possible infection: Hacktool:Win32/Kmsauto.A

AutoKMS.exe Trojanstartpage.DAW

Application: Trojanstartpage.DAW
Developer: CODYQX4
File version:
File size: 734208 bytes (717 KB.)
Recent activity:
Historic activity:
CRC32 hash: 2229056435
MD5 hash: 3cb03c134f7307866b3c52735cdfae76
SHA1 hash: 53d5c81eee1d9397ad6657088a49d72343022203
SHA256 hash: 72c4eb2b4c64291204cd97e14c54b3b01dd4ad29bd4e57926977a8bf1094a688

Signature verification


This file has no digital signature. The publisher of this file could not be verified.

Publisher n/a
Product AutoKMS
Description AutoKMS
Signingdate 0000-00-00 00:00:00
Publisher warning

The publishers name has been found in other malware.


File entropy

File entropy match: Random data

The file contains random data or highly encrypted data. This might have been done to avoid detection.

| 0 b.734208 b. |
Plain Data Text Code Compressed Encrypted Random

File signature

Executable file

An executable file causes a computer "to perform indicated tasks according to encoded instructions," as opposed to a data file that must be parsed by a program to be meaningful.

The determination of a file type is done with a signature or magic-numbers. Files are identified using by comparing the first set of bytes in the file header. Using this method type of files are recognised no matter the extension used. This information is useful to for example recognise executable files cloaked as images or movies.


Malicious code scan

Malicious code found

Agics makes een analysis of the source code of the file. We look for comparisons with known malicious source code. This is a good way to detect new malicious files which are in fact variations of existing, and known malicious files.

Scan results:

100 %


Online virus scanners

Detection ration:

43 %

Available on is a repository of malware samples to provide security researchers, incident responders, forensic analysts, and the morbidly curious access to samples of live malicious code. Presence of the sample on this site indicates that the file is (Once considered) being malicious.

National Software Reference Library

Not on the nsrl list

The NSRL contains a collection of digital signatures of known, traceable software applications. There are application hash values in the hash set which may be considered malicious, i.e. steganography tools and hacking scripts.



Sandbox behaviour analysis:

The file is executed in a safe environment to track its behaviour. The behaviour analysis can help with detecting new malware which is not recognized by virusscanners yet. However it has a high chance on a false-positive, especially with installers, uninstallers and virusscanners.

Network activity

No internet connection

Dropped files

File name md5


Statistic analysis

Statistic analysis of the file

Similar to other files with the same name
No certificate
Other files with the same name do not have a certificate as well
This is not a common file
Normal code

Neural network analysis

Analysis: Malicious

A neural network is a type of artificial intelligence. It recognized patterns nog clear for a human viewer. Our neural network is surprisingly accurate in recognizing dangerous files. The value below is the predicted chance the file is malicious.

79%79 %


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