Security Scan Report: ansicht.pages.dev

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

Submitted: Jan 10, 2026, 10:25:46 PMCompleted: Jan 10, 2026, 10:26:48 PMpubliccompleted
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Summary

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

Submitted URL: http://ansicht.pages.dev/

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 reduces suspicion
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
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 'ansicht.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'ansicht'. Count 5 characters in 'pages' containing 2 vowels alongside three consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ansicht.pages.dev/

Page Load Overview

8.90s
Total Load Time
10
HTTP Requests
4
Domains
192 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
4151.101.129.229United States
AS54113FASTLY
2172.66.44.90United States
AS13335CLOUDFLARENET
2142.250.185.99United States
AS15169GOOGLE
2142.250.184.202United States
AS15169GOOGLE
104--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB83B761A4F5553A9143C2D2ABA56F2F2EB6E147DADE1104B2AD0BA84FC7CC1ED0317C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:29ustlg3DUUOOpRdpf8Szc+ue6buY+mBT5l6O/lt+Xe0xKWx9cvs9SgclyJ2oJOv:YgclyJPJOJoJWJhJNVD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85569:nARmBKGIjgLJIAguhgtYMQT8sRLtyhUQ4MgICKSQjEkECo0YQShPEIAaogxM8YAUKIeDBOBKGpwJzE5CAxEBkgABTABHsCIA

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:#e0a86c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data