Security Scan Report: christopherjrappr.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 18 IPs in 3 countries across 15 domains to perform 55 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://christopherjrappr.pages.dev/ujqsw-social-security-2025-earnings-limit-2025-sbaug/

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Confirmed scam impersonating Social Security; do not trust or use the site.

Risk Factors (4)
Malicious Indicators of Compromise matches for the primary domain
Brand impersonation of Social Security on a non‑official domain
Unranked domain with government‑service claim
Subdomain of a known malicious domain (pages.dev)
Domain age information unavailable

Details

Page Title

Social Security 2025 Earnings Limit 2025 - Christopher J Rapp

Scan Type

public

Domain Name Analysis

You're looking at domain 'christopherjrappr.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'christopherjrappr'. The core label 'pages' covers 5 characters split between two vowels and three consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Christopher ] Rapp Almire KarolinaTessa ClariceLelah Stchristopher J Rapp Se Social Security2025|Earnings Limit 2025 am —_———/F =O [Home s>}2025 »BSocialSecurity;2025 Earnings Limit-2025, —— Soci...

Page Load Overview

3.15s
Total Load Time
2.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:2,799 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog60% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
60%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.66.169.241United States
AS13335CLOUDFLARENET
3162.159.141.224United States
AS13335CLOUDFLARENET
3104.196.233.173The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
3172.67.180.98United States
AS13335CLOUDFLARENET
3172.66.47.172United States
AS13335CLOUDFLARENET
3142.250.185.65United States
AS15169GOOGLE
3108.138.26.64Unknown
AS16509AMAZON-02
3104.198.108.103The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
3150.171.27.10UnknownUnknown
3176.9.114.118UnknownUnknown
5518--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF132A3294DD08377B1FA3C895A1730DE569AA21CA038A6576FC65189FC0FF680B715F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:RJBLZdapzD3f2QLRz+zl9UKRsSTIZr337oUZL4NT+o01NE5Ik8/d7fYJqsthpbbr:RJVapzATIt337oU57o0zkYd7fYJqsthV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43488:MKAKVtqW0YARBkwRICOJNEgERJxwBXgiY8oEruCAXqw4CSKMAskgghFlgDIraESDFkEBJEQUEaFUEY6kxaoHAC4AIFACMgmC

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:ff000000ffffdfcf
Perceptual Hash:b843bccda338c3b8
Difference Hash:2d3191dd33223e3f
Wavelet Hash:8b000000ffffdfc7
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data