Security Scan Report: amasonennor.pages.dev

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Submitted: Dec 29, 2025, 11:06:45 PMCompleted: Dec 29, 2025, 11:08:08 PMpubliccompleted
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Summary

This website contacted 23 IPs in 1 country across 18 domains to perform 63 HTTP transactions. The main domain is amasonennor.pages.dev and was registered NaN years ago.

Submitted URL: https://amasonennor.pages.dev/mwbno-2025-social-security-benefits-2025-increase-charts-2026-hjjpy/

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Site contains malicious external links and social‑engineering content; treat as high risk.

Risk Factors
External malicious domain links (pages.dev) flagged as clearfake
Unranked domain presenting Social Security benefit content (potential social engineering)
Presence of known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Social Security Benefits 2025 Increase Charts - A Mason Ennor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(96%)

Domain Information

You're looking at domain 'amasonennor.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'amasonennor'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus three consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://amasonennor.pages.dev/mwbno-2025-social-security-benefits-2025-increase-charts-2026-hjjpy/

Page Load Overview

11.92s
Total Load Time
52
HTTP Requests
18
Domains
1.1 MB
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:3,365 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
96%
government public service
87%
news media journalism
74%
healthcare medical
69%
documentation technical
67%

Detected Features

Search
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.58.206.86United States
235.215.104.236Los Angeles, California, United States
AS15169GOOGLE
2172.67.75.107United States
2108.138.26.109United States
2104.26.0.31United States
AS13335CLOUDFLARENET
2172.67.71.137United States
AS13335CLOUDFLARENET
2108.138.26.64United StatesUnknown
2172.67.166.38United States
AS13335CLOUDFLARENET
2142.250.184.214United StatesUnknown
2104.26.15.73United StatesUnknown
5223--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC232922E6DD2077290E43D9C862734CEAADE634CA038A7B75F9746C9B80DF6413764D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:yb+ht+ha+hc+h0LZdapz4fxG7grzvLN7LkST+ZWkfWJlrc2wbdwNnMW+Te1QDkaj:yb+ht+ha+hc+hWapKT+8k+Jlrc2wbcnu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47589:A6QiDJmBkBWBwwAQCtP4WCVoAypCIAMNAkATyAG2DhAALQwQANmwNgiWEAQY0EOJWIQFFcJAYBdIdAkyMiMiIgeBIBTm8TlC

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:00fffffbff878787
Perceptual Hash:bec936194e314e33
Difference Hash:283c1733363e1c2c
Wavelet Hash:00dfff819b838387
Color Hash:#6c6ee0

Scan History

Scan history not available

Unable to load historical scan data