Security Scan Report: nellietfriedlandert.pages.dev

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Submitted: Jan 13, 2026, 10:15:45 AMCompleted: Jan 13, 2026, 10:18:28 AMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 15 domains to perform 1 HTTP transaction. The main domain is nellietfriedlandert.pages.dev and was registered NaN years ago.

Submitted URL: https://nellietfriedlandert.pages.dev/oypko-social-security-maximum-2025-llhly/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>5 years)
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Social Security Maximum 2025 - Nellie T Friedlander

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(95%)

Domain Information

The domain 'nellietfriedlandert.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'nellietfriedlandert'. Its registrable label 'pages' stretches across 5 characters split between two vowels and three consonants. Splitting it apart reveals one word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nellietfriedlandert.pages.dev/oypko-social-security-maximum-2025-llhly/

Page Load Overview

90.23s
Total Load Time
29
HTTP Requests
16
Domains
158 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:2,603 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media95% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
95%
documentation technical
83%
education learning
83%
government public service
64%
adult content
63%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7172.67.180.98Spain
2104.21.49.88Spain
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2151.101.2.98Spain
2188.114.96.3United States
AS13335CLOUDFLARENET
2172.66.43.121SpainUnknown
2172.66.169.241SpainUnknown
2104.21.73.49United States
AS13335CLOUDFLARENET
234.102.220.18Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2188.114.97.3United States
AS13335CLOUDFLARENET
2912--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6F20822519D14773A5FC3EC91B5732CE8EAA524DB028FA171F571689FD4DFA00AB20E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:rzzZdapFHKEeiIZ9DUBc1EXBX3HhSfWRsk9JLZ54R:zaptLeiIZ9Dn16BX3HhSfWRsk9JLr4R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34688:YIPKSMjABgSIDgRHL4MAfJZkESFhcAyhR0AkAnloADgB5whLhFMNQG5AA7SYkACKBCSFDAJMwsEGhZnaiw0cEA0OjluEBaA8

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:ffff83cfcfcfcfcf
Perceptual Hash:b9ce3999c6382c39
Difference Hash:2214360c989a9a98
Wavelet Hash:9fbe03074b4f0b0e
Color Hash:#8d87c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data