Security Scan Report: instant.giantfoodstores.com

Submitted: Dec 7, 2025, 11:43:48 PMCompleted: Dec 7, 2025, 11:44:55 PMpubliccompleted
Loading additional data...

Summary

This website contacted 155 IPs in 3 countries across 23 domains to perform 386 HTTP transactions. The main domain is instant.giantfoodstores.com and was registered NaN years ago.

Submitted URL: https://instant.giantfoodstores.com/store/giant-instant-delivery/products/93587-coca-cola-soda-12-oza

The Cisco Umbrella rank of the primary domain is #163,775 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Giant Instant Delivery product page with no security concerns.

Safety Factors
Well‑established domain with a long registration history
Official Giant Instant Delivery branding and content
No suspicious redirects or hidden fields
Domain age information unavailable

Details

Page Title

Coca-Cola Soda Same-Day Delivery | GIANT Instant Delivery

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(33%)

Domain Information

Domain 'instant.giantfoodstores.com' uses the commercial generic top-level domain (.com) and includes subdomain 'instant'. Its registrable label 'giantfoodstores' stretches across 15 characters split between 6 vowels and 9 consonants. It segments into three words: giant, food, stores. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://instant.giantfoodstores.com/store/giant-instant-delivery/products/93587-coca-cola-soda-12-oza

Page Load Overview

48.58s
Total Load Time
386
HTTP Requests
23
Domains
2.2 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:9,448 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning33% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
33%
e-commerce
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7818.66.107.38United States
213.33.50.20New York, New York, United States
AS16509AMAZON-02
218.66.102.58United States
AS16509AMAZON-02
2142.250.185.74United States
AS15169GOOGLE
218.66.102.101United States
AS16509AMAZON-02
213.226.244.104United States
AS16509AMAZON-02
218.173.205.84United States
AS16509AMAZON-02
299.84.152.124United States
AS16509AMAZON-02
265.9.175.70United States
AS16509AMAZON-02
218.244.18.116United States
AS16509AMAZON-02
386155--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190E3A530C0642537812B8EDAB4B9674B76E3A34DCE4B1019D3FD83E6ABD7C95792601E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:kFSeAxFIsMAh7cNFh8NxOxaN54cmG3NNMspz/o88wYJe3gDYwsI23mE4OGigD2Ug:kwd3rN98RyDcFtU7vus3z4OMRlmtZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:149369:QSUEgQbEt6VbBoDOBAIUIUl4EAggAk3ASIQNoENxQCgQ2C4c5lQxAhAJoYAgpGA0EEBgZ0AAZYJCCAINgG8BNwwAxQglKEER

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

Unable to load historical scan data