Security Scan Report: janeasemicheline.pages.dev

Site favicon
Submitted: Jan 6, 2026, 8:02:05 PMCompleted: Jan 6, 2026, 8:03:27 PMpubliccompleted
Loading additional data...

Summary

This website contacted 20 IPs in 2 countries across 17 domains to perform 46 HTTP transactions. The main domain is janeasemicheline.pages.dev and was registered NaN years ago.

Submitted URL: https://janeasemicheline.pages.dev/rwqhmfj-social-security-payment-schedule-2025-ssa-payments-photos-bqgfvgw/

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Site likely phishing by impersonating Social Security; do not trust.

Risk Factors
Brand impersonation of Social Security on a non‑official domain
Unranked domain hosting impersonated content
Poorly written, garbled OCR text indicating possible scam content
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 Ssa Payments - Dorian Mareah

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(43%)

Domain Information

The domain 'janeasemicheline.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'janeasemicheline'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus three consonants. Tokenizing the label suggests one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://janeasemicheline.pages.dev/rwqhmfj-social-security-payment-schedule-2025-ssa-payments-photos-bqgfvgw/

Page Load Overview

4.35s
Total Load Time
43
HTTP Requests
17
Domains
1002 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:3,559 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
43%
finance banking
35%
news/blog
35%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2172.66.43.121United States
2188.114.96.3United States
AS13335CLOUDFLARENET
2172.66.44.123United States
AS13335CLOUDFLARENET
2172.66.40.135United States
AS13335CLOUDFLARENET
2172.66.169.241United States
AS13335CLOUDFLARENET
2209.59.168.98United States
AS32244LIQUIDWEB
2216.58.206.67United StatesUnknown
2104.18.18.5United States
AS13335CLOUDFLARENET
245.223.102.78United States
AS19551INCAPSULA
4320--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A331B32A0E854332B4BC3E8E561B32DBE55E202CA031B5975FC65649F80EF7857359E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vSokWPrapYGYT9hgI5u17K8yvjf6q9JJe/E:v32yTXgI81w3JmE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51355:oiq8IxAeABARpJgMaGAjBNsCIkBKUEOIEAMEPojI6EzFTQYA/gYSEdfgcoOEwZMBRiqAAEUUAgBVaFZAPAYoCkgxC1FElog8

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:ffbdff0b0ba78783
Perceptual Hash:bfd9e0871db4c08c
Difference Hash:4079497b774f4f6f
Wavelet Hash:ffbd8f0303078383
Color Hash:#ac5362

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data