capslockstate.js Safe

Unsigned

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

ASCII text

File header First 32 bytes of this file

21 66 75 6E 63 74 69 6F 6E 28 6E 29 7B 76 61 72 20 74 3D 22 75 6E 6B 6E 6F 77 6E 22 2C 65 3D 7B

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.

Individual scanner results (0 %) :

Scanner	Engine		Result
	13.0.3114	20180814
	7.141118	20181009
	0.100.1	20181009
	1.1	20181009
	7.0-20	20181009
	4.6.5.141	20181008
	11.10 build 68	20181009
	5.47.0	20181009
	3107100	20181009

No 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:

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: 24:szDNPJAKvCNYsV5I45NyMZgoC14VtMdKY4vp8UqMvGXQLkr5WPI4LUIQ6xv3gUCJ:G922CNj5r5AGgoC14gdDWa3MEQwrQmim

No match found

Detection ration:

Not available on virusshare.com

Not on the nsrl list

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.

Performs some HTTP requests

Connects to safe servers

TCP

DNS

HTTP

Statistic analysis of the file

	Similar to other files with the same name
	FIle version is 0.0.0.0 while other files with the same name also lack a version number
	No certificate
	Other files with the same name do not have a certificate as well
	This is a very common file

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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