Analysis MD5: 3f4fe39dc82c4a5de6e4e72d7ee4e7aa
Analysis of the file classifies it as a class A (Safe). The file is safe to use. The trust index of this analysis is 62 % (moderate).We would like to receive a copy of this file for further analysis..
SDXHelper.exe is part of Microsoft Office developed by Microsoft Corporation.
|Filename:||SDXHelper.exe (Microsoft Office)|
|First seen:||14 Oct, 2018|
|Last seen:||14 Oct, 2018|
|Last analysis:||22 Dec, 2019|
SDXHelper.exe Microsoft Office
|File size:||87128 bytes (85 KB.)|
File entropy match: File code
This file contains (executable) code.
Executable fileAn 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.
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.
No match found
Online virus scanners
Not available on virusshare.comVirusShare.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.
National Software Reference Library
Not on the nsrl listThe 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 of the file
|Deviates from other files with the same name (imitation)|
|File is not known for a long time|
|The certificate can not be determined|
|This is a very common file|
Neural network analysis
Analysis: Low risk
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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