Security Scan Report: snowloadi.pages.dev

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Submitted: Sep 18, 2026, 7:54:58 PMCompleted: Sep 18, 2026, 7:56:54 PMpubliccompleted

This website contacted 25 IPs in 3 countries across 20 domains to perform 33 HTTP transactions. The main domain is snowloadi.pages.dev and was registered 20 years ago.

Submitted URL: https://snowloadi.pages.dev/post/just-call-me-martina/

AI Security Verdict

Low Risk

Confidence: 55%

3
Risk Score

Low-quality scraped-content blog on a free pages.dev subdomain with no forms and no phishing/malware evidence; only flagged for spammy content and a suspicious third-party ad domain. No credential or payment capture found.

Risk Factors
Scraped/spun content typical of low-quality SEO spam blogs
Loaded third-party resource resolved via a *.icu domain flagged HIGH by network IDS
Unranked in Cisco Umbrella and hosted on a free instant-publish subdomain
Safety Factors
No credential, login, or payment form (verified: 0 password, 0 disguised-password, 0 payment fields)
No Indicators of Compromise against the page or its resources
No JavaScript malware (YARA) patterns and no credential-exfiltration behavior
No brand impersonation — content is the site's own self-branding
JavaScript-obfuscator and pages.dev Suricata alerts are informational browsing heuristics, not content evidence
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Just Call Me Martina : They first met on the tennis tour in 1974, so sue was there throughout the landmarks of. - Sembilu

Scan Type

public

Domain Name Analysis

The domain name 'snowloadi.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'snowloadi'. The second-level label 'pages' is 5 characters long containing 2 vowels alongside three consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://snowloadi.pages.dev/post/just-call-me-martina/

Page Load Overview

80.16s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,621 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
66%
social media network
38%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.66.46.238Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
115.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1163.181.254.183United States
AS24429Zhejiang Taobao Network Co.,Ltd
1172.64.150.129Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
118.245.30.82Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1104.20.29.138Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3325--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12931742E1C01D43A2A3383B5313AB75CF9C745397252D860F4AE89A96EE2ED1C9264D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Jz481NBm8TNpCXz8mPVjEEcWr0m5FwUngQ:Jz48787VRk1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1736:QABQAQAAAAgAowAAAAAAAAAEAAAABAIAAQAAAAAEwJAAAEAAIAABAAAQCEAkAiAAJAAQAgQCQAAAoAIAAAAQAIQJAAAAAAAA

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:9e87dbfbfbfbfbff
Perceptual Hash:ed3032ccc6cdc5cc
Difference Hash:281c96c6d2d2c6d4
Wavelet Hash:0006787a7b7b7b4a
Color Hash:#c587bd

Other Hashes

Crop Resistant:281c96c6d2d2c6d4

Scan History

Scan history not available

Unable to load historical scan data