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LIMITED DATA

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Security Scan Report: coriaseethelyn.pages.dev

Submitted: Dec 13, 2025, 11:41:05 PMCompleted: Dec 13, 2025, 11:41:52 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is coriaseethelyn.pages.dev and was registered NaN years ago.

Submitted URL: https://coriaseethelyn.pages.dev/kqpxxqm-social-security-changes-for-2025-year-photos-ntysibg/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Site mimics Social Security content on an unranked domain; moderate risk, avoid sharing personal data.

Risk Factors
Brand impersonation of a government agency on an unranked domain
Unranked domain may indicate low reputation
Safety Factors
Domain age is over 5 years (well‑established)
No credential or payment forms detected
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Page Title

Social Security Changes For 2025 Year - Cherye Joellen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

The domain name 'coriaseethelyn.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'coriaseethelyn'. The core label 'pages' covers 5 characters with two vowels and three consonants. Segmentation suggests one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://coriaseethelyn.pages.dev/kqpxxqm-social-security-changes-for-2025-year-photos-ntysibg/

Page Load Overview

8.18s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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
Text Length:768 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
56%
adult content
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.47.163United States
AS13335CLOUDFLARENET
0172.66.44.93United States
AS13335CLOUDFLARENET
02606:4700:310c::ac42:2fa3United States
AS13335CLOUDFLARENET
02606:4700:310c::ac42:2c5dUnited States
AS13335CLOUDFLARENET
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T174C3C6A1D0C736252366831DFAC4BD85BFAE7354D9410AD4F2B9860E0FD4989EB9370B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VTRapHT9QN+N+Qicc+7d3K8W9c+7d3K8W/8uhWE1BMdE8WvSAE8B2rZiRixi17SH:VTwtT2fn3JxYyIerrFHLxt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121414:qEXRBAAkgDIJlyoA2izgQnc+FkCQGUSEMsQqTrHICGNABFAJnAEAaBZgCSYK6uABKQSksKCJQFALok0ASgtkEmxXALlJwITP

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:ffffff87878787ff
Perceptual Hash:b2c9c936c73cc8c3
Difference Hash:223a192f2f2f2f3a
Wavelet Hash:9f8fcd8783838383
Color Hash:#d2a12d

Scan History

Scan history not available

Unable to load historical scan data