Security Scan Report: analytics.monta.app

Submitted: Feb 28, 2026, 8:36:38 AMCompleted: Feb 28, 2026, 8:38:09 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is analytics.monta.app and was registered NaN years ago.

Submitted URL: https://analytics.monta.app

The Cisco Umbrella rank of the primary domain is #328,765 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well established domain (over 5 years old)
No malicious Indicators of Compromise
No forms or credential harvesting
Low ranking but within Cisco Umbrella top 1M
Page returns 404 – no active content
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(70% confidence)

Category

news media journalism

(39%)

Domain Information

You're looking at domain 'analytics.monta.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'analytics'. Its registrable label 'monta' stretches across 5 characters holding 2 vowels versus three consonants. Word splitting yields two words: mont, a. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://analytics.monta.app

Page Load Overview

0.22s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:70%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:70%
Script Type:Latin
Text Length:104 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism39% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
39%
adult content
35%
documentation technical
29%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23.120.11.50Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173D0A7BEC411490E9E7025B4C986F79D8D68520FD1A65E106585A0A49984DD644533C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHoB96D3ne1k9YsMMCeZ+EsHKFZK9V:kxV7HdBWsMNeFuH9V

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:4caac7d101dc644cd0e48c18ed699654

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:7fffffffffffffff
Perceptual Hash:81030303071fffff
Difference Hash:c000000000000000
Wavelet Hash:00c0000000000000
Color Hash:#86802d

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data