Security Scan Report: alexandrachoganj.pages.dev

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Submitted: Jan 6, 2026, 3:23:03 PMCompleted: Jan 6, 2026, 3:24:24 PMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 14 domains to perform 62 HTTP transactions. The main domain is alexandrachoganj.pages.dev and was registered NaN years ago.

Submitted URL: https://alexandrachoganj.pages.dev/pktmm-social-security-calendar-of-payments-for-2025-bkhfj/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk phishing site impersonating Social Security; do not trust.

Risk Factors
Brand impersonation of a government agency (Social Security) on a non‑official domain
Domain is unranked/low reputation and does not belong to the legitimate agency
No legitimate authority indicators (e.g., .gov TLD, official branding) present
Domain age information unavailable

Details

Page Title

Social Security Calendar Of Payments For 2025 - Alexandra C Hogan

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(51%)

Domain Information

The domain 'alexandrachoganj.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'alexandrachoganj'. The second-level label 'pages' is 5 characters long containing 2 vowels alongside three consonants. Splitting it apart reveals 1 word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://alexandrachoganj.pages.dev/pktmm-social-security-calendar-of-payments-for-2025-bkhfj/

Page Load Overview

9.74s
Total Load Time
54
HTTP Requests
14
Domains
2.1 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:2,691 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
51%
corporate
35%
education learning
31%
healthcare medical
30%
finance banking
27%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.250.185.86Sweden
3151.101.193.91United States
AS54113FASTLY
3184.24.77.14Netherlands
3172.66.40.135Unknown
3184.24.77.4Unknown
3142.250.186.99Unknown
346.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
3104.20.23.96UnknownUnknown
3188.114.97.3United States
AS13335CLOUDFLARENET
3150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5418--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF83F9E1E0D2352527A7835CF6C4B985BF9EB354D5410BF4B1B9820E0FD8A85B6A370B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8apqdo7N+N4Qibc+7d3K8Wjc+7d3K8Wl8uhWJ1BM6E8WvSAc8B2rZ6GD4pVrEBYW:7z+YyXrm2g00Dyt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87695:CtBBeQAUSASVBVQ9LtCsoDCCcUGmQEJEKjZBBNNALQhUEMwkRJ5hAKICEAh4BQAiIIJUSNOABhQgouIALJAACwrse0S0XAAB

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:ffefff87cfc3c3c3
Perceptual Hash:b89361cd1e2cccce
Difference Hash:a00c0c2f3b2a2b2b
Wavelet Hash:feefc78783818181
Color Hash:#53acab

Other Hashes

Crop Resistant:a00c0c2f3b2a2b2b

Scan History

Scan history not available

Unable to load historical scan data