ScanMalware.com

Security Scan Report: amandambeaversj.pages.dev

Site favicon
Submitted: Dec 30, 2025, 10:44:53 AMCompleted: Dec 30, 2025, 10:46:07 AMpubliccompleted
Loading additional data...

Summary

This website contacted 21 IPs in 2 countries across 20 domains to perform 55 HTTP transactions. The main domain is amandambeaversj.pages.dev and was registered NaN years ago.

Submitted URL: https://amandambeaversj.pages.dev/kdcsn-social-security-increase-2025-canada-increase-cigcm/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing page due to malicious domain match and redirect abuse.

Risk Factors
Malicious Indicators of Compromise match on primary domain
Excessive redirects (8) indicating possible redirect abuse
Hosting on pages.dev, a domain flagged as malicious
Unranked domain with no reputable ranking
Impersonation of a government program (Social Security) on a non‑official domain
Domain age information unavailable

Details

Page Title

Social Security Increase 2025 Canada Increase - Amanda M Beavers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Domain 'amandambeaversj.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'amandambeaversj'. Count 5 characters in 'pages' containing two vowels alongside three consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://amandambeaversj.pages.dev/kdcsn-social-security-increase-2025-canada-increase-cigcm/

Page Load Overview

4.25s
Total Load Time
57
HTTP Requests
20
Domains
239 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:4,023 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%
news/blog
40%

Detected Features

Search
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.250.184.202United Kingdom
AS15169
2172.66.44.250United States
AS13335CLOUDFLARENET
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
218.171.209.12City of London, England, United Kingdom
AS16509AMAZON-02
2104.16.132.24United KingdomUnknown
2172.67.220.181United States
AS13335CLOUDFLARENET
2172.67.180.98United States
AS13335CLOUDFLARENET
2104.21.18.46United KingdomUnknown
2142.250.185.150United KingdomUnknown
2104.20.23.96United KingdomUnknown
5721--

Detected Technologies13

WordPressv6.5.5
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.5.5
100%
PHP
50%
OWL Carousel
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Swiper
20%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110332A31D6CE2537251E53DEA966B308E5EE5235CE024E7672FAA06C4BC8EF9017321D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:W1d1a1h1TapVTIGwxJlrc2wrwhijJMSNIJ5oziI6ksf01mJq6J/:Wno/AfTZw+whbpHoeV0EJq6J/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50518:YGTiFgAIloTkEIuEjILhQhQiItAIxjRAEEBTSBOjwYhCoAWJ8IQHA3xwQISb2LUQEiTIBFkSAuDKzAkAEwwBySHSSVkBxwiQ

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:ff000000ffffffff
Perceptual Hash:ba42baedba4a1a49
Difference Hash:010f00c1342e363f
Wavelet Hash:fd000000fbcfff87
Color Hash:#2d6286

Other Hashes

Crop Resistant:010f00c1342e363f,0101c101d1d9e1c1

Scan History

Scan history not available

Unable to load historical scan data