Security Scan Report: 970x250-lukas-40owwtntda.edgeone.app

Submitted: Jan 21, 2026, 1:44:16 PMCompleted: Jan 21, 2026, 1:45:34 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is 970x250-lukas-40owwtntda.edgeone.app and was registered NaN years ago.

Submitted URL: https://970x250-lukas-40owwtntda.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 suspicious activity detected; the site appears legitimate.

Safety Factors
Well‑established domain (> 365 days)
Minimal risk category from hosting analysis
No credential or payment collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name '970x250-lukas-40owwtntda.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain '970x250-lukas-40owwtntda'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://970x250-lukas-40owwtntda.edgeone.app/

Page Load Overview

0.69s
Total Load Time
10
HTTP Requests
1
Domains
148 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.152.26.58Singapore
101--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13BB353EF614037B083638BB7428FF808473588A2F82144AE75D6A9C95F65FA5136793F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xH3r3j6xaJrZHFxhSvP19SJ3LqgOmnmw/vWE+g:kvrlmnmw/vWHg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116643:XBKgYpBgGAV0lCFihBkhA8QIkiCYTGrgISyFwCEh0gNAEKQJ1qShihLSQhQBEHCBbAAkET9hAbggIeUhwLAKaK7TxJCTQIqI

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:0f0fbfffffffffff
Perceptual Hash:b8383838f0e0e6ef
Difference Hash:3a3a280020000000
Wavelet Hash:040404fc0f0f0f0f
Color Hash:#6d1f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data