Security Scan Report: jharrimanluca.pages.dev

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Submitted: Dec 27, 2025, 7:31:20 PMCompleted: Dec 27, 2025, 7:31:45 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 14 domains to perform 32 HTTP transactions. The main domain is jharrimanluca.pages.dev and was registered NaN years ago.

Submitted URL: https://jharrimanluca.pages.dev/cydar-social-security-payment-schedule-2025-for-ssi-payments-ghgbd/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Site impersonates Social Security services on an untrusted domain – treat as high‑risk phishing.

Risk Factors
Brand impersonation of a government agency on an unrelated domain
Unranked domain with no established reputation for the claimed brand
Lack of legitimate authority or verification for the displayed information
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 For Ssi Payments - J Harriman Luca

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(84%)

Domain Information

The domain 'jharrimanluca.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'jharrimanluca'. Count 5 characters in 'pages' split between 2 vowels and 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jharrimanluca.pages.dev/cydar-social-security-payment-schedule-2025-for-ssi-payments-ghgbd/

Page Load Overview

11.12s
Total Load Time
32
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:4,054 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
84%
documentation technical
71%
technology software
69%
phishing scam
61%
adult content
57%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20188.114.97.3United States
AS13335CLOUDFLARENET
2150.171.28.10UnknownUnknown
1209.59.168.98UnknownUnknown
1142.250.184.225UnknownUnknown
1172.66.43.121UnknownUnknown
1172.67.166.38United States
AS13335CLOUDFLARENET
1146.75.121.140UnknownUnknown
1207.244.125.194UnknownUnknown
1192.185.5.168UnknownUnknown
1104.20.23.96UnknownUnknown
012--

Detected Technologies5

WordPressv6.4.3
100%
JQueryv3.7.1
100%
Bootstrapv4.5.0
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13F03183260E915373A9F83EC81917728BA98D611CB035BBA71F873689F85DF245B720D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:tkjZdapNi3r0nq2zTYvZ6ytC/h4lmbekMjkykZM:Gapc70nqATYvZ6ytC54lmbekMjkykm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38301:J4QIAA0S9+hoCOdIgB4gEB7BJRAggLCmD4qqIHr1QJLB2lEAoaxZJCogZEOgHBABMcKLDQASjI4IGyA4JO7a2EHY0QAPQCAE

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:000000001dffffff
Perceptual Hash:ba49b6e13649bcc1
Difference Hash:b369f1332928122f
Wavelet Hash:00000000ffffffff
Color Hash:#784f3a

Scan History

Scan history not available

Unable to load historical scan data