Security Scan Report: appmonsta.xml-v4.ak-is2.net

Submitted: Jan 7, 2026, 7:33:28 PMCompleted: Jan 7, 2026, 7:35:24 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is appmonsta.xml-v4.ak-is2.net and was registered NaN years ago.

Submitted URL: https://appmonsta.xml-v4.ak-is2.net

The Cisco Umbrella rank of the primary domain is #5,952 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain (>7 years old)
High Cisco Umbrella ranking (top 10k)
No credential or payment collection forms
No external domains or redirects
Domain age information unavailable

Details

Page Title

410 Gone

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'appmonsta.xml-v4.ak-is2.net' is registered, featuring subdomain 'appmonsta.xml-v4'. Count 6 characters in 'ak-is2' split between two vowels and 2 consonants, notching 1 digit and one hyphen. Segmentation suggests three words: ak, is, 2. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appmonsta.xml-v4.ak-is2.net

Page Load Overview

1.54s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:23 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2173.239.53.20Garden City, New York, United States
AS27257WEBAIR-INTERNET
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CFF0E29BAF12307B2E238571F4C32168CF640957EF8C25D28759011FB2CA04289F5FBA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxnbx0AqKIlIgr8IHTF83TF83TF83TF83TF83TFf:ktmAgLTuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:524:BAAEAAAAAAwAAAAAAgAAAAAAAAAAAAAAAAAAQAABAAAAAAAAAAAAAAAAAAAACAAAAAAAAABAAAgAAAABAAAYAAAAAAAAAAAA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:00ffffffffffffff
Perceptual Hash:a333333333333333
Difference Hash:0800000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#93881f

Other Hashes

Crop Resistant:0800000000000000

Scan History

Scan history not available

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