Security Scan Report: pagamentogiornaliero.live

Redirected to:
https://pagamentogiornaliero.live/h5/#/
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 2 domains to perform 33 HTTP transactions. The main domain is pagamentogiornaliero.live and was registered 6 months ago.

Submitted URL: https://pagamentogiornaliero.live/h5

Effective URL:
https://pagamentogiornaliero.live/h5/#/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 75%

10
Risk Score

New unranked site with no malicious signs but high uncertainty; treat as moderate risk.

Risk Factors (3)
Newly registered domain (<7 days)
Unranked domain reputation
Lack of visible content (content could not be fetched)
Domain age information unavailable

Details

Page Title

الرئيسية

Scan Type

public

Domain Name Analysis

Domain 'pagamentogiornaliero.live' uses the .live top-level domain and has no subdomain. The registrable portion 'pagamentogiornaliero' spans 20 characters split between ten vowels and ten consonants. Tokenizing the label suggests eight words: pag, a, men, to, gi, or, nal, iero. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pagamentogiornaliero.live/h5

Page Load Overview

3.31s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:60%
Script:Arabic
Direction:rtl

Detection Details

HTML Lang Attribute:zh-CN
Text Length:3,261 chars
Detector Agreement:100%
Language mismatch: Declared as zh-CN but detected as ar

Website Classification

Primary Category

news media journalism82% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
82%
gambling betting
72%
finance banking
69%
government public service
51%
e-commerce shopping
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17124.220.203.60China
AS45090Shenzhen Tencent Computer Systems Company Limited
1638.190.224.128United States
AS133199SonderCloud Limited
332--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18FA21E7C300A38769833EAD1F6E57F04A167973BEB494516A3B50365AFC9CF85819338

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:G/3oq7sBAd87u7Ed1S5AajZYkJfKlrmZ5LfFLfgLfhuTzhBeC3D:aoqI+d87u7Ed1S5AajZYkJfKlrmZ5Lf5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21956:yGQlDSpyiQVxCJWQEiTAFUJDEQpcJFJCRasAADKsEU03AQKEBFYvjbsBHPCwLhKUKGBUYHmiIIDAShhUfBILYDAKIC0IgCsI

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:0000ffffffffffff
Perceptual Hash:f53232349c9d8d8d
Difference Hash:9c9d80d0c2c2c2c8
Wavelet Hash:0000067e7e7e7e7e
Color Hash:#2d74d2

Scan History

Scan history not available

Unable to load historical scan data