Security Scan Report: resolima.pages.dev

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Submitted: Sep 12, 2026, 9:28:01 PMCompleted: Sep 12, 2026, 9:28:41 PMpubliccompleted

This website contacted 30 IPs in 5 countries across 25 domains to perform 42 HTTP transactions. The main domain is resolima.pages.dev and was registered 3 years 9 months ago.

Submitted URL: https://resolima.pages.dev/posts/arpita-name-tattoo/

AI Security Verdict

Low Risk

Confidence: 60%

2
Risk Score

Low-quality static image blog on a pages.dev subdomain. No credential/payment forms, no impersonation, no Indicators of Compromise or malware. IDS hits are informational only. Low risk.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M) — weak signal only
Low-quality, scraped-feeling SEO image content with generic clickbait titles
Safety Factors
No credential, login, or payment form anywhere on the page
No brand impersonation: page displays its own 'Camiloser' branding, no third-party brand claim
No threat-intel matches against the page or its resources
No malicious JavaScript behavior or cross-origin credential exfiltration
External links point to ordinary content/CDN domains (Blogspot, Google Fonts, Pinterest CDN)
Domain age information unavailable

Details

Page Title

Arpita Name Tattoo - Please enter your name here. - Camiloser

Scan Type

public

Domain Name Analysis

You're looking at domain 'resolima.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'resolima'. The second-level label 'pages' is 5 characters long with 2 vowels and 3 consonants. Breaking it apart gives 1 word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://resolima.pages.dev/posts/arpita-name-tattoo/

Page Load Overview

3.62s
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:5,696 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
65%
entertainment media
55%
news media journalism
41%
adult content
26%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1334.153.2.27Google · CDNUnited States
AS396982Google LLC
1146.75.120.84Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
131.13.80.52Toronto, Ontario, Canada
AS32934Facebook, Inc.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
123.38.98.195Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
115.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
123.36.162.140Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1172.66.46.216Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
4230--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D831972E5C04D437292743F5313AF36CF8D7552DB246D8B0F4AE89BA1DE1E82CC12456

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:JVfI1NBm6TNpCXz8mPVjEqaWr0m5FwUngQ:JVA781Vru1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1631:CAACAIAACEDACoAAAAABEAAAQAAAAgAAAAAgAAAABQgFAAAASAAAAABAACAhAEQAQAAQAARBAQAABAAAAQAAAAUAAQBAAiAA

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:ffffc7c7c7c7cfd7
Perceptual Hash:b0c9cf313cc936c9
Difference Hash:383c1e1e1e1e1e2e
Wavelet Hash:dfcf83838383c383
Color Hash:#2d64d2

Scan History

Scan history not available

Unable to load historical scan data