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Security Scan Report: elijahkerrh.pages.dev

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Submitted: Dec 28, 2025, 1:40:09 AMCompleted: Dec 28, 2025, 1:40:58 AMpubliccompleted
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Summary

This website contacted 16 IPs in 1 country across 17 domains to perform 49 HTTP transactions. The main domain is elijahkerrh.pages.dev and was registered NaN years ago.

Submitted URL: https://elijahkerrh.pages.dev/ldiri-social-security-payments-2025-calendar-pdf-ahbpm/

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

High‑risk site flagged due to malicious Indicators of Compromise on its primary domain.

Risk Factors
Malicious Indicators of Compromise match on primary domain
Unranked / low‑reputation domain in Cisco Umbrella
Potential brand impersonation of Social Security on a non‑official domain
Domain age information unavailable

Details

Page Title

Social Security Payments 2025 Calendar Pdf - Elijah H. Kerr

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(54%)

Domain Information

The domain name 'elijahkerrh.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'elijahkerrh'. The second-level label 'pages' is 5 characters long split between 2 vowels and three consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://elijahkerrh.pages.dev/ldiri-social-security-payments-2025-calendar-pdf-ahbpm/

Page Load Overview

32.13s
Total Load Time
49
HTTP Requests
0
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-US
Text Length:3,320 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service54% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
54%
corporate
35%
entertainment media
32%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16172.66.44.125United States
AS13335CLOUDFLARENET
2172.217.23.99UnknownUnknown
1142.250.184.225UnknownUnknown
1104.20.23.96UnknownUnknown
1209.59.168.98UnknownUnknown
1172.240.108.76UnknownUnknown
1172.67.180.98UnknownUnknown
1150.171.28.10UnknownUnknown
1172.217.23.106UnknownUnknown
1172.66.40.135UnknownUnknown
016--

Detected Technologies4

WordPressv6.5.5
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145230937A4DD21333E5B83F8E561BA1AEB65D624C6438E5D3AF860089BC0EF6417714E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:1xSMDZdapFAT4ZIPiBtketEBL7msvL0npJOQql1S:1xSMDap2T4KPiBtkYEJmsUpJOQqlA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46521:UuGSQIQQjBoPjgMTSAFEgEQyCZkpaIAigRQCEFAAIQEUOAwAOKEMWEQBYmCANEJCBUeB2JpBaZTQJYMIIRA1CRYFZpMQCgCI

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:ff3c000000ffffff
Perceptual Hash:c244b5ed6feca40c
Difference Hash:e0d8e0c1e99c390e
Wavelet Hash:fe08000000ffffff
Color Hash:#bf4084

Other Hashes

Crop Resistant:e0d8e0c1e99c390e,2521b121c664469c,e0d8d8e0c4c1e1cc

Scan History

Scan history not available

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