Security Scan Report: afosbrookamelie.pages.dev

Submitted: Jan 1, 2026, 7:03:03 PMCompleted: Jan 1, 2026, 7:06:10 PMpubliccompleted
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Summary

This website contacted 16 IPs in 1 country across 0 domains to perform 0 HTTP transactions. The main domain is afosbrookamelie.pages.dev and was registered NaN years ago.

Submitted URL: https://afosbrookamelie.pages.dev/ldayj-social-security-benefits-2025-increase-in-ifwkh/

AI Security Verdict

High Risk

Confidence: 95%

8
Risk Score

Site is high‑risk due to malicious primary domain and IP, with phishing‑style content.

Risk Factors
Malicious primary domain pages.dev
Suspicious IP address 199.59.243.228
Unranked/low‑reputation domain in Cisco Umbrella
Social engineering content about Social Security benefits
Domain age information unavailable

Details

Page Title

Social Security Benefits 2025 Increase In - A Fosbrook Amelie

Scan Type

public

Domain Information

You're looking at domain 'afosbrookamelie.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'afosbrookamelie'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus 3 consonants. Tokenizing the label suggests one word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://afosbrookamelie.pages.dev/ldayj-social-security-benefits-2025-increase-in-ifwkh/

Page Load Overview

184.12s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0216.58.206.86United States
0104.26.14.73United States
0199.59.243.228United States
AS16509AMAZON-02
0150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0104.21.11.140United States
AS13335CLOUDFLARENET
0146.75.121.91United States
0172.67.166.38United StatesUnknown
018.66.102.107United StatesUnknown
0172.217.18.22United StatesUnknown
0172.67.75.176United States
AS13335CLOUDFLARENET
016--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2E2E73251AD14363A1F93DD45A27318E9A9E616DB038F7631FC32689BD1EFA017720E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:f3A+zPbZdapNLTWZTO//1WJq6ZaIF0NH6iU7QjIZ0:f3A+nap5TW5O//1Wg6ZaIF0NH6iU7Qjh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33684:gnIoYDNAGmwioHKIIqMXATBMEIgoAFAjypleAgTSMgYBKAsCPQAZiBiyAopA0AoTAB4MBwQxAQ3VWBN2gLiYQEDlEEVOiQNg

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:ff00f9ffffc7c787
Perceptual Hash:b0cf32e68db38d44
Difference Hash:0c4c731b360f0f3f
Wavelet Hash:e700b9fbcb838383
Color Hash:#79b2d2

Scan History

Scan history not available

Unable to load historical scan data