Security Scan Report: www.firstalert7.com

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Submitted: Dec 23, 2025, 10:25:04 PMCompleted: Dec 23, 2025, 10:26:27 PMpubliccompleted
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Summary

This website contacted 52 IPs in 7 countries across 47 domains to perform 245 HTTP transactions. The main domain is firstalert7.com and was registered NaN years ago.

Submitted URL: https://www.firstalert7.com/2025/12/23/walmart-helping-customers-with-last-minute-christmas-shopping/

The Cisco Umbrella rank of the primary domain is #745,296 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

Site impersonates Walmart on unrelated low‑rank domain with circular redirect – high‑risk phishing.

Risk Factors
Brand impersonation (Walmart) on an unrelated low‑rank domain
Circular redirect detected indicating possible URL manipulation
Low Cisco Umbrella ranking for a site claiming a major brand
Domain age information unavailable

Details

Page Title

Walmart helping customers with last-minute Christmas shopping

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(41%)

Domain Information

The domain name 'www.firstalert7.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'firstalert7' spans 11 characters split between 3 vowels and 7 consonants, plus 1 digit. Word splitting yields three words: first, alert, 7. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.firstalert7.com/2025/12/23/walmart-helping-customers-with-last-minute-christmas-shopping/

Page Load Overview

27.78s
Total Load Time
245
HTTP Requests
47
Domains
3.4 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
Text Length:10,803 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping41% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

e-commerce shopping
41%
news/blog
35%
government public service
32%
documentation technical
31%
forum
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41142.251.38.66United States
AS15169GOOGLE
413.32.91.62New York, New York, United States
AS16509AMAZON-02
4185.89.210.122Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
4104.16.143.111United States
AS13335CLOUDFLARENET
495.101.74.26Schiphol, North Holland, Netherlands
AS20940Akamai International B.V.
4185.89.210.153Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
423.48.23.168Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
434.199.33.125Ashburn, Virginia, United States
AS14618AMAZON-AES
4172.64.155.119United States
AS13335CLOUDFLARENET
4141.226.228.48Netherlands
AS200478Taboola.com ltd
24552--

Detected Technologies4

JQueryv2.2.0
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14CE33B32B81819B787C70BCAB9973B05E596E20BC6861D48B7ECC35C07CED9D462275E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:PP5hwWuTXdfzIAoyUh2YUpSQxrvQu7D9a1fdkuZICE5Ec/g2Cny8jtjJ+1tWdpWd:PP5WWw63yU010GKfVc/gzyGO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:151757:SIFSJKjHIVZrsABg5BIhqkGSHkBRCABCBwCEZBcARogIA0QIVgAjBdwAEDAl8ONYEUADBEIGlQgCpkjQhwMhUjIFgMBlBtQK

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:18ffff8787878781
Perceptual Hash:bec1493e149ec9b4
Difference Hash:f08e003e0e2f2f2f
Wavelet Hash:08ffff8787838700
Color Hash:#6c9ae0

Scan History

Scan history not available

Unable to load historical scan data