Security Scan Report: ansicht.pages.dev

Redirected to: https://ansicht.pages.dev/

Submitted: Jan 6, 2026, 8:31:40 PMCompleted: Jan 6, 2026, 8:32:52 PMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 11 HTTP transactions. The main domain is ansicht.pages.dev and was registered NaN years ago.

Submitted URL: https://ansicht.pages.dev/index.html

Effective URL: https://ansicht.pages.dev/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age (>5 years)
No credential or payment collection
Unranked domain but no other suspicious indicators
Domain age information unavailable

Details

Page Title

Vocalx | KI-Call-Agenten der nächsten Generation

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'ansicht.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'ansicht'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and three consonants. Segmentation suggests 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ansicht.pages.dev/index.html

Page Load Overview

13.39s
Total Load Time
11
HTTP Requests
4
Domains
195 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:7,598 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: static
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.74.195United States
2104.16.175.226United States
2172.66.47.166United States
AS13335CLOUDFLARENET
2142.250.184.234United StatesUnknown
114--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10083B861A4F5553A914382D6ABA56F2F2EB6E147DADE1004B3AD0BA84FC7CC1ED0317C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:29ustlg3DUUOORhs5WYNiWMhe1v6NWpUYizHxAl/XW8PIWx9cvsNgclyJ2oJOJMY:4gclyJPJOJoJWJhJNVD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85577:JGKAopAoZ4YitrgQgAQgEdCEA8DCLFQZY8C1CYshokkE4SBAlDAjbSkmaQVfBgIlChzERAcR8kiARMAkAYwMQWhRJwEZQKKg

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:ffffc1f1f1f1d1fb
Perceptual Hash:ed92924dc36d6169
Difference Hash:6b3c131323333333
Wavelet Hash:198f81c1f1f190fb
Color Hash:#acab53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data