Security Scan Report: netolika.pages.dev

Site favicon
Submitted: Sep 18, 2026, 1:00:52 AMCompleted: Sep 18, 2026, 1:01:32 AMpubliccompleted

This website contacted 35 IPs in 4 countries across 28 domains to perform 48 HTTP transactions. The main domain is netolika.pages.dev and was registered 6 years ago.

Submitted URL: https://netolika.pages.dev/post/ileana-d-cruz-husband-photo/

AI Security Verdict

Low Risk

Confidence: 55%

2
Risk Score

Low-risk gossip/entertainment page on pages.dev with only a Google search form. No credential/payment collection, malware, or threat-intel matches; shared hosting and unknown age are weak signals.

Risk Factors
Hosted on a shared pages.dev subdomain with unknown creation date
Domain not ranked in Cisco Umbrella top 1M
Safety Factors
No credential, password, or payment forms present
Search form action points to Google, a standard non-malicious destination
No Indicators of Compromise or JavaScript malware detected
No cross-origin credential exfiltration or suspicious form submission detected
Brand check passed: page references a public figure without claiming official affiliation
Domain age information unavailable

Details

Page Title

Ileana D'cruz Husband Photo : The latest tweets from ileana d'cruz (@ileana_official): - Kalitone

Scan Type

public

Domain Name Analysis

You're looking at domain 'netolika.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'netolika'. Its registrable label 'pages' stretches across 5 characters split between two vowels and 3 consonants. Breaking it apart gives 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://netolika.pages.dev/post/ileana-d-cruz-husband-photo/

Page Load Overview

2.85s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,920 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media31% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
31%
news media journalism
27%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.66.46.224Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
115.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.9.4Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
123.222.81.26Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
1104.26.15.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12.22.89.157Akamai · CDNVienna, Vienna, Austria
AS20940Akamai International B.V.
1104.16.132.24Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4835--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B31642E0C04D477292383A6313AF75CFDD75929B642D460F4AA85A92DD2EC2CD52486

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Jm1NBmL+TNpCXz8mPVjEaaWr0m5FwUngQ:Jm78LxVxu1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1688:AACAAAAAEAAAAwEAACAABFCAAAAAAAAAIACAAACAABAAApAAACADCRCAAAMoAAAQAABQAIQAAAEAAAEAAiAAAAYCAAAIAACg

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:ffdfc7c7c7cfcf87
Perceptual Hash:b0cfcfc932c63630
Difference Hash:2c1c0e2f9e1e1e0f
Wavelet Hash:ffcf838383838383
Color Hash:#e0836c

Scan History

Scan history not available

Unable to load historical scan data