MD5 Hash: d4f602b1f775b5827932d3c5b04a3fd2
SHA256 Hash: 47a22f3649c7021ad78b5e44c73640cb7d37b2afa2266aefa2e030294065284e
File size: 3372032 bytes (3293 KB.)
Last analysis: 25 Jun, 2018 12:17:38

Analysis MD5: d4f602b1f775b5827932d3c5b04a3fd2

Analysis of the file classifies it as a class D+ (Suspicious). The file looks suspicious, but it could be a false positive. The trust index of this analysis is 52 % (moderate).



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: Suspicious
Analysis trust:
Recent activity:
First seen: 16 Aug, 2014
Last seen: 16 Aug, 2014
Last analysis: 25 Jun, 2018
Possible infection: Trojan:Win32/Unknown.C

AutoKMS.exe Trojanstartpage.DAW

Application: Trojanstartpage.DAW
Developer: CODYQX4
File version:
File size: 3372032 bytes (3293 KB.)
Recent activity:
Historic activity:
CRC32 hash: 3380486837
MD5 hash: d4f602b1f775b5827932d3c5b04a3fd2
SHA1 hash: 8baaf0b8c8bc4f1bbc4e3d1e02b3516805c1690c
SHA256 hash: 47a22f3649c7021ad78b5e44c73640cb7d37b2afa2266aefa2e030294065284e

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

File entropy

File entropy match: Encrypted

Parts of this file are encrypted. The reasons might be benign but it makes the analysis more difficult.

| 0 b.3372032 b. |
Plain Data Text Code Compressed Encrypted Random

File signature

.NET compiler + SmartAssembly Obfuscator 6.5.2

.NET Framework is a software framework developed by Microsoft that runs primarily on Microsoft Windows.

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

Suspicious 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:

50 %

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: 49152:t2s/IwErzx1CPY/SP/Xn+UVDzYE/FnQj/6bRlYM1gEEvaKCm6TQl6hGne0:MsIrt1C+07VfYE9nQjfM1gELjmWSne0

No match found


Online virus scanners

Detection ration:

47 %

Not 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

Connects to safe servers

Dropped files

File name md5


Import hashing

Imphash 9895210c4401e36bdb164398c62d3587

Fingerprinting files can be done in various way. One way is to make a hash of the PE Imports. PE Imports are relative unique and this is a great way to find new variants of existing malware. The chance of false-positives is relative high. The resulting hash is often called an imphash.

0% Match0% Match

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

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.

71%71 %


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