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Security Scan Report: alfredmsoucyj.pages.dev

Submitted: Jan 2, 2026, 10:13:53 AMCompleted: Jan 2, 2026, 10:16:45 AMpubliccompleted
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Summary

This website contacted 18 IPs in 1 country across 15 domains to perform 36 HTTP transactions. The main domain is alfredmsoucyj.pages.dev and was registered NaN years ago.

Submitted URL: https://alfredmsoucyj.pages.dev/iunsi-social-security-payments-for-october-2025-in-india-nnsjw/

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

High‑risk site due to malicious primary domain indicator; do not visit or provide any data.

Risk Factors
Primary domain matches malicious Indicators of Compromise
Unranked domain with low reputation
Error page (502 Bad Gateway) prevents content verification
Domain age information unavailable

Details

Page Title

Social Security Payments For October 2025 In India - Alfred M Soucy

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

cryptocurrency blockchain

(71%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'alfredmsoucyj.pages.dev' is registered with subdomain 'alfredmsoucyj'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. Splitting it apart reveals 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://alfredmsoucyj.pages.dev/iunsi-social-security-payments-for-october-2025-in-india-nnsjw/

Page Load Overview

48.82s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:11,259 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain71% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
71%
technology software
68%
healthcare medical
62%
documentation technical
62%
finance banking
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.251.141.86United States
AS13335
0209.59.168.98United States
AS13335
0172.217.18.10United States
AS13335
0172.67.75.176United States
AS13335
0172.217.23.99United States
AS13335
0188.114.96.3United States
AS13335
0188.114.97.3United States
AS13335
0141.193.213.11United States
AS13335
0104.20.23.96United States
AS13335
046.229.172.197United States
AS13335
218--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3630822D6BC2C63352E52986272733EA927B517D6020E6931FCB6142F87D6B017F6CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:h+zDdDcZdapFrai6D8/3X3XMQFmS+T9ZGoW0un3bFWe3VPOgJy:hapVaTDMMT94o1W3bFWe3VPOgJy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67588:oUgkEJZTgOAEJAAlow2YQoSEaMQaAULAOQaOAxsCASQawzgQaoCBkQUICAmABRAOqEEmygJo9UKQCQCMoUDACECAapQTJAEI

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:3fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#473a78

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data