MD5 Hash: df608bdb810684df278ba5e0c38c8885
SHA256 Hash: f54d1cfc816e1a78d2c4edfe85a2d14064dfb796a3f7e67f8420a7b29219a3e3
File size: 615936 bytes (602 KB.)
Last analysis: 06 Dec, 2017 03:27:29

Analysis MD5: df608bdb810684df278ba5e0c38c8885

Analysis of the file classifies it as a class F (Malicious). The file is malicious, do not use it. The trust index of this analysis is 100 % (certain).



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: 06 Dec, 2010
Last seen: 24 Jul, 2015
Last analysis: 06 Dec, 2017
Possible infection: Hacktool:Win32/Kmsauto.A

AutoKMS.exe Trojanstartpage.DAW

Application: Trojanstartpage.DAW
Developer: CODYQX4
File version:
File size: 615936 bytes (602 KB.)
Recent activity:
Historic activity:
MD5 hash: df608bdb810684df278ba5e0c38c8885
SHA1 hash: 66a815e5ebc64c21f961bf031f8d701881603b0d
SHA256 hash: f54d1cfc816e1a78d2c4edfe85a2d14064dfb796a3f7e67f8420a7b29219a3e3

Signature verification


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


File entropy

File entropy match: File code

This file contains (executable) code.

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 %

Fuzzy hash a.k.a. Context Triggered Piecewise Hashing


Context Triggered Piecewise Hashing, also called Fuzzy Hashing, can match inputs that have homologies. Such inputs have sequences of identical bytes in the same order, although bytes in between these sequences may be different in both content and length. Comparing a fuzzyhash is a good way to detect morphing malware. Malware which include random code in every copy to change its properties. Agics uses ssdeep to make create a fuzzyhash.

SSDEEP: 6144:PdnVz3zVkW0dQ8O9UJUQTFgNZUjQGp5hWpty6B5EvXHCCnhmC8MX6rdfwifsyzfw:JdjVkWMQEhWptl6XTkC8Mq5ZtY

No match found


Online virus scanners

Detection ration:

66 %

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.


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.

90%90 %


User feedback

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