Security Scan Report: littlestarschildminder.co.uk

Redirected to: https://www.bing.com/?toWww=1&redig=4E0D501510734A788D04F79762AA2C5C

Submitted: Dec 20, 2025, 3:05:52 PMCompleted: Dec 20, 2025, 3:06:37 PMpubliccompleted
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Summary

This website contacted 21 IPs in 5 countries across 15 domains to perform 387 HTTP transactions. The main domain is bing.com and was registered NaN years ago.

Submitted URL: https://littlestarschildminder.co.uk/conad/

Effective URL: https://www.bing.com/?toWww=1&redig=4E0D501510734A788D04F79762AA2C5CRedirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Redirect chain to Bing; low risk overall.

Risk Factors
Multiple redirects (4) from an unrelated domain to Bing
Safety Factors
Domain age > 10 years
Final destination is a legitimate Microsoft brand domain
No malicious Indicators of Compromise
No forms collecting passwords or payment data
Domain age information unavailable

Details

Page Title

Search - Microsoft Bing

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

social media network

(70%)

Domain Information

You're looking at domain 'littlestarschildminder.co.uk' on the United Kingdom country-code top-level domain (.co.uk). Count 22 characters in 'littlestarschildminder' with six vowels and 16 consonants. It segments into 4 words: little, stars, child, minder. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://littlestarschildminder.co.uk/conad/

Page Load Overview

4.44s
Total Load Time
387
HTTP Requests
15
Domains
4.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:4,669 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network70% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
70%
technology software
43%
government public service
35%
corporate business
31%
blog personal website
29%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2788.221.92.163Vienna, Vienna, Austria
AS20940Akamai International B.V.
1888.221.92.178Vienna, Vienna, Austria
AS20940Akamai International B.V.
1888.221.92.153Vienna, Vienna, Austria
AS20940Akamai International B.V.
1888.221.92.183Vienna, Vienna, Austria
AS20940Akamai International B.V.
1895.101.75.36Vienna, Vienna, Austria
AS20940Akamai International B.V.
1888.221.92.157Vienna, Vienna, Austria
AS20940Akamai International B.V.
1820.190.177.23Paris, Île-de-France, France
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1820.190.177.21Paris, Île-de-France, France
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
18104.208.16.95Des Moines, Iowa, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1895.101.75.50Vienna, Vienna, Austria
AS20940Akamai International B.V.
38721--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E549E6AAD44303B815747C4E49A9B0EF127421BDA648F249498D32C8BEDEEF4D7387D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:9cUE1NHHvyfXo7AaBA6XdNOBohQN9orls5xNF5fCsCyC8SQV+Nf7EsA9H:9cUE1NHHqwsaBA6XdNOBohQN9orls5xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:285073:uBgCAYYgwlqUIAATODWGwoSAGYQywICPEabFcAQgYAQI8AAlACIhgNpHWUBk2BSAQDoNQkLkEhGhDABkZEA1CVcApTBjDAAB

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:003c1c08002effff
Perceptual Hash:d25aaf37682811ee
Difference Hash:6969f9b148d8d617
Wavelet Hash:003c1c58007effff
Color Hash:#c587ad

Scan History

Scan history not available

Unable to load historical scan data