Security Scan Report: aangelaeva.pages.dev

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Submitted: Dec 9, 2025, 1:17:06 AMCompleted: Dec 9, 2025, 1:17:28 AMpubliccompleted
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Summary

This website contacted 35 IPs in 3 countries across 14 domains to perform 41 HTTP transactions. The main domain is aangelaeva.pages.dev.

Submitted URL: https://aangelaeva.pages.dev/rfikg-social-security-check-calendar-2025-asaga/

AI Security Verdict

Low Risk

Confidence: 72%

4
Risk Score

Informational page with brand name usage; low risk but not fully trustworthy.

Risk Factors
Brand impersonation of a government agency on an unranked domain
Domain appears to be newly created (no age data) and is not in Cisco Umbrella top 1 M
Safety Factors
No password, SSN, or payment fields in any of the two forms
No external links to suspicious domains
Content is purely informational about the 2025 Social Security payment calendar
Domain age information unavailable

Details

Page Title

Social Security Check Calendar 2025 - A Angela Eva

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(60%)

Domain Information

Domain 'aangelaeva.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'aangelaeva'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aangelaeva.pages.dev/rfikg-social-security-check-calendar-2025-asaga/

Page Load Overview

8.32s
Total Load Time
41
HTTP Requests
14
Domains
3.0 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:4,139 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog60% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
60%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7172.67.166.38United States
AS13335CLOUDFLARENET
1104.21.11.140United States
AS13335CLOUDFLARENET
1172.66.44.71United States
AS13335CLOUDFLARENET
1172.66.43.121United States
AS13335CLOUDFLARENET
1172.66.47.185United States
AS13335CLOUDFLARENET
1192.185.5.168United States
AS19871NETWORK-SOLUTIONS-HOSTING
152.57.221.121Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1188.114.96.3United States
AS13335CLOUDFLARENET
1146.75.123.52Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1104.18.19.5United States
AS13335CLOUDFLARENET
4135--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF23193219EC0477371E53E9C1A0B71DF9AB9E34CA036FA672FA66145B80DF241A316D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:62rGgeZdapSdTWZWbBBkYlkMCOxaq0S/n+tWS0Gmf4fTO6vdHwplOJTuwq:62rGgeapuTWCBBkYlkMCOxaq0S/n+tWn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47238:AHBNSBsIUYggAFEpalEWAJCESuk4VVghiJwRBkpAw0BmBJDOayywhQLEAFMGHIKgOUoBAQIBQSDAmhAWAKBRQQCmW9iiJQDg

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:00ffffd787878787
Perceptual Hash:bec941364e61593e
Difference Hash:8e00192e2f2f2f2f
Wavelet Hash:00ff8f8387878787
Color Hash:#2d8684

Scan History

Scan history not available

Unable to load historical scan data