Security Scan Report: jenniferitom.pages.dev

Site favicon
Submitted: Dec 10, 2025, 12:54:09 AMCompleted: Dec 10, 2025, 12:54:35 AMpubliccompleted
Loading additional data...

Summary

This website contacted 59 IPs in 4 countries across 15 domains to perform 41 HTTP transactions. The main domain is jenniferitom.pages.dev.

Submitted URL: https://jenniferitom.pages.dev/lgij-social-security-payment-schedule-2025-january-zhpsp/

AI Security Verdict

High Risk

Confidence: 75%

8
Risk Score

Site likely attempts Social Security phishing; treat as high‑risk and do not provide any personal information.

Risk Factors
Brand impersonation via page title (Social Security) on an untrusted domain
Unranked domain with unknown/very recent registration date
Potentially new domain (no age data) increasing likelihood of malicious use
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 January - Jennifer Ito M.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'jenniferitom.pages.dev' is registered with subdomain 'jenniferitom'. The core label 'pages' covers 5 characters with 2 vowels and three consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jenniferitom.pages.dev/lgij-social-security-payment-schedule-2025-january-zhpsp/

Page Load Overview

9.66s
Total Load Time
41
HTTP Requests
15
Domains
994 KB
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:2,820 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41188.114.97.3United States
AS13335CLOUDFLARENET
0216.58.206.67United States
AS15169GOOGLE
0172.67.71.34United States
AS13335CLOUDFLARENET
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0172.67.75.142United States
AS13335CLOUDFLARENET
0172.67.166.38United States
AS13335CLOUDFLARENET
0172.66.40.135United States
AS13335CLOUDFLARENET
0150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0173.212.192.14Lauterbourg, Grand Est, France
AS51167Contabo GmbH
0104.21.11.140United States
AS13335CLOUDFLARENET
4159--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14603083261E910373E5F83ECD1A27328A8A8E211CA035F7575FC62A49F84DF641B762D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:f9GOMu4C0kZdqZUaAVkW8ghnABFNY/eshcSIanXMm06+//MwTnGx9yoKdfZin:FzZdap6/CshfHXMm0x//McnGx9yoKlZ2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38339:QwMQVVgCGwWAMEmzALYHPCImQEiFYJQQQBgCJQVKTpABSgiHNGcpMEGSEHQ3TUSYYBS3PJgkQocGoCKyBFYMAEOaRgFsTzhW

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data