Security Scan Report: 1960sfloralwallpaper.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 42 IPs in 5 countries across 32 domains to perform 47 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://1960sfloralwallpaper.pages.dev/post/names-for-a-stuffed-panda/

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Auto-generated SEO-spam content farm on a pages.dev subdomain, mixing scraped panda-product listings and links. No forms, no impersonation, and no threat-intel or malware hits, so it is spammy but not malicious.

Risk Factors (2)
Auto-generated, scraped aggregation content with no original material (SEO spam / content farm)
Free hosting-platform subdomain of unknown actual creation age with no reputation
Safety Factors (5)
No credential, login or payment form present
No brand impersonation detected (self-branding only)
No Indicators of Compromise, YARA malware patterns or known malicious kit
No credential exfiltration and no cross-origin form submission
IDS alerts are informational (ET INFO) only, not malware/phishing alerts
Domain age information unavailable

Details

Page Title

names for a stuffed panda Panda bear, panda bear, what do you see? - 1960s floral wallpaper

Scan Type

public

Domain Name Analysis

Domain '1960sfloralwallpaper.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain '1960sfloralwallpaper'. The core label 'pages' covers 5 characters containing two vowels alongside three consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://1960sfloralwallpaper.pages.dev/post/names-for-a-stuffed-panda/

Page Load Overview

4.26s
Total Load Time
2.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,850 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
42%
education learning
42%
social media network
34%
news/blog
30%
forum community discussion
26%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
1185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
1104.18.10.141Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.245.224.113Santa Clara, California, United States
AS14061DigitalOcean, LLC
1142.251.14.132Google · CDNUnited States
AS15169Google LLC
1184.24.77.69Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.35.58.37Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
12.16.10.142Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.32.121.89Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
4742--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158C2D76E90E8A83E334663DC67A33C96C893480BC398C9C4B2ADDB59766FFD5741151C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:99qVF0NFePdy/pi1XZnBfa/7qhv3+4ZuUTHjHg/0Tsensof//DFRD/7qMnqqcca1:99DajHpZquFJ9mhHHf3ag4k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25882:gi4CAyCDPbDgCApAwGZxWkIOyoSQENAFkBwYAI/rygAAs5AJAiUTYAKjAKKRxpBiIoigAJkAKgRdBAZADilQwQIUCMkN6vCE

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:dfcfcfdbe7e7c7c7
Perceptual Hash:b69932c789cc63cc
Difference Hash:381816360e8c8d8d
Wavelet Hash:8e83c383c3c3c7c7
Color Hash:#40bf51

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data