English
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 54 % (moderate).
Description
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: | 21 Jan, 2019 |
| Possible infection: | W32.hack.tool |
AutoKMS.exe Trojanstartpage.DAW
| Application: | Trojanstartpage.DAW |
| Developer: | CODYQX4 |
| Stability: | |
| File version: | 2.4.3.0 |
| File size: | 3372032 bytes (3293 KB.) |
| Recent activity: | |
| Historic activity: | |
| CRC32 hash: | 3380486837 |
| MD5 hash: | d4f602b1f775b5827932d3c5b04a3fd2 |
| SHA1 hash: | 8baaf0b8c8bc4f1bbc4e3d1e02b3516805c1690c |
| SHA256 hash: | 47a22f3649c7021ad78b5e44c73640cb7d37b2afa2266aefa2e030294065284e |
Signature verification
Unsigned
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.
Plain Data Text Code Compressed Encrypted RandomFile 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:
Fuzzy hash a.k.a. Context Triggered Piecewise Hashing
SSDEEP
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:
VirusShare.com
Not available on virusshare.com
VirusShare.com 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.Website: virusshare.com
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.Website: www.nsrl.nist.gov
Behaviour
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.
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.
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