Security Scan Report: interview-shnetz-efnc886vpg.edgeone.app

Submitted: Feb 15, 2026, 2:11:14 PMCompleted: Feb 15, 2026, 2:12:28 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is interview-shnetz-efnc886vpg.edgeone.app and was registered 3 years 4 months ago.

Submitted URL: https://interview-shnetz-efnc886vpg.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate but currently unreachable.

Safety Factors
Well‑established domain (>2 years old)
No malicious Indicators of Compromise
No credential or payment forms
No external links or suspicious scripts
Domain age information unavailable

Details

Page Title

SH Netz GIS Developer Help

Scan Type

public

Domain Name Analysis

The domain name 'interview-shnetz-efnc886vpg.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'interview-shnetz-efnc886vpg'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://interview-shnetz-efnc886vpg.edgeone.app/

Page Load Overview

2.73s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:457 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A3048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:nfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz62bMy8OldS:4hoC9JSqzzbs6o3Sj3gcrsG2eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184586:U8U5MXHFBACAmEI2gAn2QvIAHZlIBEQajxPKEAjFoqACBIZMg4SmEEpLCAFBSKCphJSpBAACQKyKU2biiwEECJGJ+QBTTRXk

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc673363
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#57931f

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data