Security Scan Report: www.nothingbundtcakes.com

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Submitted: Oct 1, 2026, 8:02:24 AMCompleted: Oct 1, 2026, 8:03:29 AMpubliccompleted

This website contacted 21 IPs in 2 countries across 14 domains to perform 75 HTTP transactions. The main domain is nothingbundtcakes.com and was registered 18 years ago.

Submitted URL: https://www.nothingbundtcakes.com/find-a-bakery/ga/macon/fundraising-861.html?srsltid=AU7gw4XGoTkCkozR4r0Wmk9Gs5YXIinWL9g6enWE2mCIM3mDKG3wRj7e

The Cisco Umbrella rank of the primary domain is #93,404 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Official Nothing Bundt Cakes fundraising page for Macon, GA. Established domain, self-branded, no credential/payment forms, and no threat-intel or malware indicators.

Safety Factors (4)
Established domain with 26-year registration history
Ranked in Cisco Umbrella top 100K
Self-branded official site matching domain
No malicious indicators or credential harvesting
Domain age information unavailable

Details

Page Title

Start a Fundraiser with Nothing Bundt Cakes - Macon, GA

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.nothingbundtcakes.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label 'nothingbundtcakes' is 17 characters long with five vowels and twelve consonants. Word splitting yields four words: nothing, bund, t, cakes. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.nothingbundtcakes.com/find-a-bakery/ga/macon/fundraising-861.html?srsltid=AU7gw4XGoTkCkozR4r0Wmk9Gs5YXIinWL9g6enWE2mCIM3mDKG3wRj7e

Page Load Overview

6.64s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:7,209 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service40% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
40%
download file sharing
38%
corporate
35%
adult content
28%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15146.75.121.124Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3104.82.96.173Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
3104.18.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
354.224.98.112Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3172.217.116.4Google · CDNUnited States
AS15169Google LLC
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3104.18.32.137Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
335.85.87.80Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
3104.18.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7521--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA64C4DB7861932AD6D38B99A6A63A587420A98FFC738DFCF50C43740F897F15C51209

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:lnn/DRwUJFJViQxY2/ql4myE6NSZrKsXuQ:Jn/DRwUVQt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:318734:IQhkYI1ilhEgQvoVinAmHCSUBggOMKBCEJvFAIFAwUARFkamADQbFcxAwakyB8ElFIMVQQRlAkAQytYKhCggQAD0MxHgRDhA

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:00ffffffe7ffff89
Perceptual Hash:bf146d630a182d77
Difference Hash:694e20a9498c2b2b
Wavelet Hash:0000ffdf25e7cb81
Color Hash:#77862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data