Security Scan Report: www.beleg.telenorma.app

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 15 HTTP transactions. The main domain is telenorma.app and was registered 7 years ago.

Submitted URL: https://www.beleg.telenorma.app

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Established Telenorma subdomain presenting a receipt-scanner QR page. No impersonation, credential/payment form, threat-intel hit, malware, or suspicious JS behavior detected.

Safety Factors (5)
Well-established domain
Self-branding consistent with the subdomain
No credential or payment harvesting form
No Indicators of Compromise or malware signals
All observed form/script activity is same-origin
Domain age information unavailable

Details

Page Title

QR-Code scannen

Scan Type

public

Domain Name Analysis

The domain 'www.beleg.telenorma.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.beleg'. The core label 'telenorma' covers 9 characters containing 4 vowels alongside five consonants. Segmentation suggests 2 words: telenor, ma. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

QR-Code scannen

Page Load Overview

0.89s
Total Load Time
344 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:31 chars
Detector Agreement:50%
Language mismatch: Declared as en-US but detected as fr

All Detected Languages

🇫🇷fr(64%)🇳🇱nl(36%)

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
15157.90.226.231Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
151--

Detected Technologies5

JQueryv3.6.0
100%
PHPv7.4.33
40%
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T133A1552185B0051E2167F185B9E0E70E1F72820BE70B4908B6DE25D54FEEEE788E7698

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Nw3ddRrQCVOfUIkMUJtUrom8ULIZspuMNhK1PVfpfpIpfVpC4Ipl7+i7t7+j7tfO:uLTUfLk/tU5L1uX1PubGHAg/BYANj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4797:hCACABBSCGABACAQAAM6QYzBBAADQSQGGARQEkAYIACBCK4gIFAAMqAAAgIgMogCoAAAOOWQIAhlhIAkpBAAEABAoCAGIYKI

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:ff00000018180000
Perceptual Hash:88f7e6d98da69181
Difference Hash:5111893133332501
Wavelet Hash:ffef01191d1d0101
Color Hash:00000000e00

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data