Security Scan Report: il-forno-da-rosalita.se

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Site favicon
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 2 domains to perform 14 HTTP transactions. The main domain is il-forno-da-rosalita.se and was registered 3 weeks ago.

Submitted URL: https://il-forno-da-rosalita.se

AI Security Verdict

Low Risk

Confidence: 55%

3
Risk Score

Newly registered restaurant page that is self-branded with no forms, no impersonation and no threat-intel hits. The main signal is its very recent registration; bot protection is ordinary Cloudflare.

Risk Factors (2)
Domain is ≤1 day old and unranked in Cisco Umbrella
3 eval() calls present in page JavaScript (common in ordering/analytics stacks but a dynamic-code signal)
Safety Factors (6)
Self-branding matches the domain — no impersonation of a different entity's brand
No forms of any kind: no login, no password, no payment fields
No threat-intelligence matches, no JavaScript malware patterns, no IDS alerts
Content reads as a genuine restaurant takeaway page (menu, address in Huddinge, OrderYOYO ordering platform references)
Bot-protection challenge is standard on legitimate sites and is not treated as evasion
Verdict names no specific threat, and DOM analysis found no password field (real or disguised) or payment field and no other hard signal — elevated score unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Il Forno da Rosalita Huddingeother network

Scan Type

public

Domain Name Analysis

The domain name 'il-forno-da-rosalita.se' uses the Swedish country-code top-level domain (.se). The registrable portion 'il-forno-da-rosalita' spans 20 characters containing 8 vowels alongside nine consonants, plus three hyphens. Splitting it apart reveals 7 words: il, for, no, da, rosal, it, a. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://il-forno-da-rosalita.se

Page Load Overview

2.28s
Total Load Time
1.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:400 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7162.159.136.89Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.13.97Google · CDNUnited States
AS15169Google LLC
152.51.51.56Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
1162.159.135.89Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
148--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17DB34B43D934E43EBF1342C9E8BA595E23ECD099E3901841FDDC85288BCB9E9557B607

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:2cBa1N9/3TRq3dlAFdRFw/jw/nQkZgDO0YW5yTopxdS0nXiWPmSRlD7h8TTUeqDA:tu7pdzw7wL/Gr5hATsD7BZ0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:112973:KQAsgRdQkgEICDFYQAOEcysKoBHgJGFNGwMDBBAMVAIQEpkKsh3FKOwCZAARAABghxQQCgBBegMAPEAu4ESBEBQwsYkWDufa

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:007c7e7e0000007e
Perceptual Hash:821bd13c942f766d
Difference Hash:dcd0d0cce445f0d8
Wavelet Hash:047e7e7e10007e7e
Color Hash:#5b1f93

Scan History

Scan history not available

Unable to load historical scan data