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Security Scan Report: labioser.pages.dev

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Submitted: Sep 24, 2026, 10:41:18 AMCompleted: Sep 24, 2026, 10:43:30 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 60%

5
Risk Score

Scraped celebrity-bio blog on a free pages.dev subdomain with 8 redirects and HIGH IDS alerts for hostile *.top domain traffic. No forms, phishing kit, or Indicators of Compromise — SEO spam at most, low direct threat.

Risk Factors (4)
8 excessive cross-domain redirects
HIGH-severity IDS alert: HTTP request and DNS query to a *.top domain flagged as likely hostile
Scraped/duplicated celebrity content typical of SEO-spam networks
Secondary classifier categories include adult content and file-sharing/download signals
Safety Factors (5)
No credential, password, or payment fields present (only a Google search box)
No Indicators of Compromise matches against the page or its resources
No JavaScript malware (YARA) or known phishing-kit signatures detected
No cross-origin credential exfiltration or disguised input fields
Brand check passed — 'Febiola' is the site's own self-branding, not impersonation of another entity
Domain age information unavailable

Details

Page Title

Kareena Kapoor Age - Kareena kapoor, 21 eylül 1980 tarihinde hindistan'ın mumbai / maharaştra kentinde doğmuştur. - Febiola

Scan Type

public

Domain Name Analysis

The domain 'labioser.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'labioser'. Count 5 characters in 'pages' split between two vowels and 3 consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://labioser.pages.dev/post/kareena-kapoor-age/

Page Load Overview

80.07s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,626 chars
Detector Agreement:60%

Website Classification

Primary Category

entertainment media57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
57%
adult content
39%
download file sharing
38%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.20.132Google · CDNUnited States
AS15169Google LLC
1104.18.26.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1108.181.247.82Dallas, Texas, United States
AS40676Psychz Networks
1192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
1103.191.209.174India
AS150055DIGITAL SNAP
118.173.205.11Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1156.239.74.231Seychelles
AS9294GNET INC.
5339--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17631863D2C01C4372A2342EA313EF74CF5D7552DB142D4A0F4AA99E92DD2E81CD5B456

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:JOW1NBmLZTNpCXz8mPVjEZXWr0m5FwUngQ:JOW78LYVMX1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1687:AAAgAAAAAQABQggIAAAAAQMQAAAAAQAIAAAAAAACAAAABBAAAAAAABBAAYAggACAAgASIAIAAgAAQAAAAAIAAAQAEAAAABIC

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:ffcfcf87878787c7
Perceptual Hash:b2cccc36c933cccc
Difference Hash:283c1e1e0e0e0e1e
Wavelet Hash:ffc7838383838783
Color Hash:#1f6793

Other Hashes

Crop Resistant:283c1e1e0e0e0e1e,4f6f6f7737235f72,3f63a1915183879c

Scan History

Scan history not available

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