IAStorIconLaunch.exe

MD5 Hash: 6001a433a616440cf2b8856d67bc5561
SHA256 Hash: bc6129971b3820580f208ad27c46a2d284a6fd88de3b7ae510486bc98387156e
File size: 36352 bytes (36 KB.)
Last analysis: 05 Jul, 2018 13:13:31

Analysis MD5: 6001a433a616440cf2b8856d67bc5561

Analysis of the file classifies it as a class A (Safe). The file is safe to use. The trust index of this analysis is 58 % (moderate).We would like to receive a copy of this file for further analysis..

A
B
C
D+
D
D-
E+
E
E-
F

Description

IAStorIconLaunch.exe is part of Delayed launcher developed by Intel Corporation. This task is responsible for a hardware piece in your system. It offers additional configuration options and support for this device

Filename: IAStorIconLaunch.exe (Delayed launcher)
Threat analysis: Safe
Analysis trust:
58%
Recent activity:
First seen: 06 Dec, 2015
Last seen: 06 Dec, 2015
Last analysis: 05 Jul, 2018
Possible infection: Clean

IAStorIconLaunch.exe Delayed launcher

Application: Delayed launcher
Developer: Intel Corporation
Stability:
75%
File version: 1.0.0.1
File size: 36352 bytes (36 KB.)
Recent activity:
Historic activity:
MD5 hash: 6001a433a616440cf2b8856d67bc5561
SHA1 hash: 1ff4016babcc4bc638aa26e39492d380cdcf3cd6
SHA256 hash: bc6129971b3820580f208ad27c46a2d284a6fd88de3b7ae510486bc98387156e
C

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.


A

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: 384:c1AcwrsPWPLfiQ7KtXYbNbJh8P59Z/PVZRiZvEDHcXnuGQvkz4GvLTIcpdsj:5PKWPbHKWBJhw5bPBiBED8XngcE2T5I

No match found


A

Online virus scanners

Detection ration:

0 %
A

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
B

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

B

Statistic analysis

Statistic analysis of the file

Deviates from other files with the same name (imitation)
The certificate can not be determined
This is not a common file
Normal code
A

Neural network analysis

Analysis: Safe

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.

5%5 %

?

User feedback

Read feedback on this file from other users. Help other users by providing feedback yourself.

You can earn reputation points !

You are currently not logged in. Login, or Create an account

Feedback users:

There has been no user feedback provided yet.
You are not logged in. Only registered users can provide feedback. Login and help other users.

Login Create an account