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Security Scan Report: imogenswhitefoord.pages.dev

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Submitted: Dec 20, 2025, 9:02:24 PMCompleted: Dec 20, 2025, 9:02:49 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 16 domains to perform 38 HTTP transactions. The main domain is imogenswhitefoord.pages.dev and was registered NaN years ago.

Submitted URL: https://imogenswhitefoord.pages.dev/drbah-social-security-payment-schedule-2025-for-ssi-payments-omvqz/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Site mimics SSA payment schedule on an untrusted domain – high‑risk phishing.

Risk Factors
Brand impersonation of a government agency (Social Security Administration) on an unrelated domain
Unranked domain lacking reputable reputation
Misleading content that could trick users into providing personal information
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 For Ssi Payments - Imogen S. Whitefoord

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(88%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'imogenswhitefoord.pages.dev' is registered; it also runs on subdomain 'imogenswhitefoord'. The second-level label 'pages' is 5 characters long with two vowels and three consonants. Tokenizing the label suggests 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://imogenswhitefoord.pages.dev/drbah-social-security-payment-schedule-2025-for-ssi-payments-omvqz/

Page Load Overview

6.04s
Total Load Time
38
HTTP Requests
16
Domains
1.3 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:4,064 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
88%
technology software
80%
documentation technical
79%
phishing scam
76%
cryptocurrency blockchain
73%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
2172.240.127.242United States
AS7979SERVERS-COM
2199.232.173.140Stockholm, Stockholm County, Sweden
AS54113FASTLY
2192.185.5.168United States
AS19871NETWORK-SOLUTIONS-HOSTING
245.223.102.78United States
AS19551INCAPSULA
2209.59.168.98United States
AS32244LIQUIDWEB
2142.251.38.65United States
AS15169GOOGLE
2188.114.96.3United States
AS13335CLOUDFLARENET
2172.66.43.121United States
AS13335CLOUDFLARENET
2104.21.11.140United States
AS13335CLOUDFLARENET
3817--

Detected Technologies8

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv4.5.0
100%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T163031A3260E911377A4F83ECC1917329AA99D621CB039B7A71F972689FC1DF641B720D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:S3eONuXsC3ZdqZUaAekWVgh//l/WBgiV+DbC+ThbO55Qv08LqwXRpCUzLET1h4JB:gMjZdapNiB04q2z4Tb4JkZ5WL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38471:YQAMyATeE4GCKrcB6qSZSRJSASR0GBCgmVAAuUAMDlOkkygBEACFgAYbDmRMBD3CRBIQ4ACABcIZCAAtvGdmBwcMVfRJMwMQ

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:#55783a

Other Hashes

Crop Resistant:b369f1332928122f,91b379e873336b73,272824242b293906

Scan History

Scan history not available

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