Security Scan Report: relpiset.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 38 IPs in 6 countries across 26 domains to perform 42 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://relpiset.pages.dev/post/mariela-novia-de-tevez/

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Scraped multi-language SEO spam on a pages.dev subdomain of unknown age. No IoC, YARA, phishing or credential/payment forms — junk content only, so MODERATE_RISK, not a scam.

Risk Factors (4)
SEO spam / scraped content farm with no legitimate purpose
Free hosting-platform subdomain of unknown real age
Unranked in Cisco Umbrella, low legitimacy score (8/100)
Incoherent multi-language content assembled from other sites
Safety Factors (6)
No Indicators of Compromise matches
No JavaScript malware / YARA patterns
No Google Safe Browsing or phishing/malware IDS alerts (only informational pages.dev and JS-obfuscator hunting heuristics)
No credential, password or payment forms (verified form facts: 0/0/0)
Form action is a benign Google site-search
Brand check passed — 'Zippler' is the site's own brand, no impersonation
Domain age information unavailable

Details

Page Title

Mariela Novia De Tevez / Esta es la lista completa de ganadores. - 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'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://relpiset.pages.dev/post/mariela-novia-de-tevez/

Page Load Overview

3.15s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:7,205 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

social media network66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
66%
adult content
49%
news media journalism
35%
healthcare medical
33%
entertainment media
30%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.44.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.127.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.69.59Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
152.216.212.192Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
1104.18.7.141Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
113.32.121.82Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
145.230.21.22Santiago, Santiago Metropolitan, Chile
AS271803SERVICIOS INTEGRALES DE INFORMATICA DIGITALPROSERVER SPA
123.48.23.53Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4238--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155D23C5149D44A73128303C85775F6BAE4838408F107CBAA751EE9A75784BE1CF3FAE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:sJld5v+kdnENUzYQ8cTXbvjeGMsjxs3eLrXhzdLtg+SrqGGkfetRpcl9mO9Ci6UN:sJUKEN6YQ8cHvjeGMsjxs3eLrXhzdLtw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30664:hAAEwBgDRB9NkwQkEQAoDEJFr1yAZ2DwJrPAwoQBEYIF8BiLi4kEDSgBgoPASABMEZtwi1nEgwABQIAzJsQ6CCYYQIICEDGE

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:ffdfc7c7c7ffc7c7
Perceptual Hash:b0cfcccf30c9c326
Difference Hash:383c0e1e0f0e1e9d
Wavelet Hash:dfc7838383838787
Color Hash:#3a7867

Scan History

Scan history not available

Unable to load historical scan data