Security Scan Report: relpiset.pages.dev

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Submitted: Sep 19, 2026, 6:16:34 AMCompleted: Sep 19, 2026, 6:18:46 AMpubliccompleted

This website contacted 32 IPs in 4 countries across 23 domains to perform 39 HTTP transactions. The main domain is relpiset.pages.dev and was registered 18 years ago.

Submitted URL: https://relpiset.pages.dev/post/n-ambika-dcp-family-photos/

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Low-quality SEO-spam/scraper page aggregating scraped image captions on a shared Pages subdomain. No credential or payment forms, no impersonation, no Indicators of Compromise or malware — spammy but no active threat to visitors.

Risk Factors
Spam/scraper page with no original content, designed for search-engine traffic capture
Shared-hosting subdomain with unknown actual creation date and no domain reputation
Third-party advertising/redirect network present on a low-trust page
Content mixes adult-themed scraped material with unrelated keyword-stuffed posts
Safety Factors
No credential, password, disguised-password or payment fields (0/0/0 of 1 form)
Only form is a search box posting to google.com/search — a benign site-search pattern
Site displays its own brand ('Zippler'), not an impersonation of another entity — brand check passed
No Indicators of Compromise matches, no JavaScript YARA malware, no known phishing kit, no Safe Browsing hit
No cross-origin credential exfiltration or malicious JS behaviour detected
Domain age information unavailable

Details

Page Title

N Ambika Dcp Family Photos : Mica andreas on kristina soboleva. - Zippler

Scan Type

public

Domain Name Analysis

Domain 'relpiset.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'relpiset'. Count 5 characters in 'pages' holding 2 vowels versus 3 consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://relpiset.pages.dev/post/n-ambika-dcp-family-photos/

Page Load Overview

80.22s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,233 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
38%
education learning
30%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.66.47.49Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
115.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
196.16.53.148Akamai · CDNHaarlem, North Holland, Netherlands
AS20940Akamai International B.V.
1103.235.104.156India
AS17439NTT COMMUNICATIONS INDIA NETWORK SERVICES PRIVATE LIMITED
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1142.250.154.119Google · CDNUnited States
AS15169Google LLC
1172.66.169.65Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
123.72.254.33Akamai · CDNHaarlem, North Holland, Netherlands
AS20940Akamai International B.V.
1142.250.154.132Google · CDNUnited States
AS15169Google LLC
3932--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F631673E0C04D4371A2742F63276B35CF9C7193DB245D4A0F8EA89A51DD2E91CD26455

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Jhr731NBmHTNpCXz8mPVjEvbBWr0m5FwUngQ:JF78yVKp1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1625:QAAgAAAAAgQCQgiAAAAAAAAAAAGFCAAAEgCACKwAAEAAAAIAAMAACAQAAAAgAACAEAASgAAAAAAAQAAAAAAIAAQQAAAAAAAA

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:ffcfff87c7c7c7ff
Perceptual Hash:b0cfcd30c6cc38c7
Difference Hash:2818962e0f9e9e18
Wavelet Hash:8e8feb838383c387
Color Hash:#bf4048

Scan History

Scan history not available

Unable to load historical scan data