Security Scan Report: tyneychrista.pages.dev

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Submitted: Jan 9, 2026, 10:24:45 PMCompleted: Jan 9, 2026, 10:26:04 PMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 18 domains to perform 45 HTTP transactions. The main domain is tyneychrista.pages.dev and was registered NaN years ago.

Submitted URL: https://tyneychrista.pages.dev/tlijudm-social-security-cola-2024-announcement-pdf-images-agchboo/

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Site impersonates Social Security on a non‑official domain; high‑risk phishing.

Risk Factors
Brand impersonation of a government agency on an unrelated domain
Misleading financial claim (extra $50 per month) to lure users
Unranked domain increasing suspicion
Domain age information unavailable

Details

Page Title

Social Security Cola 2024 Announcement Pdf - Elana Harmony

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(39%)

Domain Information

Domain 'tyneychrista.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'tyneychrista'. The core label 'pages' covers 5 characters holding 2 vowels versus three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tyneychrista.pages.dev/tlijudm-social-security-cola-2024-announcement-pdf-images-agchboo/

Page Load Overview

5.90s
Total Load Time
43
HTTP Requests
18
Domains
1.8 MB
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:3,579 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
39%
news/blog
30%
government public service
29%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1335.71.189.182Germany
2188.114.97.3United States
AS13335CLOUDFLARENET
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2172.240.127.234Unknown
23.171.214.125Unknown
2142.250.185.202United States
AS15169GOOGLE
2104.20.23.96Unknown
2172.67.194.192United States
AS13335CLOUDFLARENET
245.56.111.81Cedar Knolls, New Jersey, United States
AS63949Akamai Connected Cloud
252.203.240.96Ashburn, Virginia, United States
AS14618AMAZON-AES
4316--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19443D521C8B82C73796E5395B172B33E6D62B503CA021A1972FCB6145B87DAB047F6CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:eyuroapnBkT+iXqMWBqWI+6xUPS8KsexW:I/kTLXqFDzAW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58400:JQXAgSoBXAhASTIISEukAsDdA4IPEgaAEYQKYGhgdCkDAKBLAxCwZ8AAkFwohpiKaEEBmAFaAE8KgCIFHKFaoJoAEJCXwoWA

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:0000000000ffff8f
Perceptual Hash:bb40bfc83748913e
Difference Hash:a14db1b18dd3636d
Wavelet Hash:df01000000ffffff
Color Hash:#9187c5

Scan History

Scan history not available

Unable to load historical scan data