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Security Scan Report: violethhara.pages.dev

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Submitted: Jan 4, 2026, 7:51:34 AMCompleted: Jan 4, 2026, 7:52:56 AMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 15 domains to perform 40 HTTP transactions. The main domain is violethhara.pages.dev and was registered NaN years ago.

Submitted URL: https://violethhara.pages.dev/jqvi-social-security-payment-schedule-2025-for-ssi-recipients-dqoja/

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

High‑risk phishing site impersonating Social Security; avoid and report.

Risk Factors
External malicious Indicators of Compromise (pages.dev) linked from the page
Social Security brand impersonation on an untrusted domain
Unranked domain with no Cisco Umbrella reputation
Phishing‑style content (payment schedule for SSI recipients)
Garbled OCR text suggesting social engineering
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 For Ssi Recipients - Tonye Gwenneth

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(35%)

Domain Information

Domain 'violethhara.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'violethhara'. The second-level label 'pages' is 5 characters long with two vowels and 3 consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://violethhara.pages.dev/jqvi-social-security-payment-schedule-2025-for-ssi-recipients-dqoja/

Page Load Overview

5.89s
Total Load Time
43
HTTP Requests
15
Domains
1.7 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:3,778 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
35%

Detected Features

Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11150.171.28.10United States
AS15169
2142.250.185.65Netherlands
AS2635
2142.251.141.118Spain
AS8075
2172.66.169.241Unknown
AS39572
2172.217.23.118Unknown
AS42612
2172.67.166.38United States
AS13335CLOUDFLARENET
2172.67.153.117UnknownUnknown
2142.250.184.225UnknownUnknown
2104.21.11.140United States
AS13335CLOUDFLARENET
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4317--

Detected Technologies11

WordPressv6.6.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv4.5.0
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T119132B3310ED10773A6E93ECD161B71DFAA9D201C6039AAA71FC62689F40EF641B725D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ExZdapzoDST+Z6NqFtl423KIIqfrJIOAz:6apHT+MMFf42aIIqfrJIOAz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43346:BADEGBEmGmCBEw4YBC1YOPN5NLEISBEaCoUDyQDQEwwawSiAwWRKJQxJSitUigokACFgACBAIAmEgDEiSDTgEiccFAgesDBm

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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