Security Scan Report: forsugarreset.com

Submitted: Completed: publiccompleted
This website contacted 17 IPs in 2 countries across 9 domains to perform 98 HTTP transactions. The main domain is forsugarreset.com and was registered 7 months ago.

Submitted URL: https://forsugarreset.com/sgr-pv-buy-aff-lml3drli/?aff_id=1906&subid2=13176_sessid20261019223837510&subid=1174

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Deceptive advertorial imitating CBS News to sell a supplement with unproven 'reverse Type 2 Diabetes' claims, fabricated testimonials and scarcity pressure. No forms on page but a health-scam sales funnel — avoid purchasing.

Risk Factors (6)
Impersonation of CBS News branding on an unaffiliated commercial supplement domain
Unproven 'reverse Type 2 Diabetes' medical cure claims aimed at a vulnerable patient group
Fabricated or unverifiable customer testimonials and review-count metrics
Unranked domain registered ~196 days ago with no established reputation
Support email on a third-party domain (customercs.com) unrelated to the site
Affiliate-driven advertorial funnel with artificial urgency and discount pressure
Domain age information unavailable

Details

Page Title

This Biblical Drink Mentioned 33 Times In The Bible REBUILDS Your Pancreas And REVERSES Type 2 Diabetes In Just 21 Days

Scan Type

public

Domain Name Analysis

The domain 'forsugarreset.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'forsugarreset' is 13 characters long with five vowels and 8 consonants. Tokenizing the label suggests three words: for, sugar, reset. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Latest » LocalNews » «Live Showsy ~ @CBS NEWS Q Fitness v Food y Sleep More ~ fe 84° This Biblical Drink Mentioned 33 Times In The Bible REBUILDS Your Pancreas And REVERSES Type 2 Diabetes In Just 2...

Page Load Overview

1.72s
Total Load Time
7.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Text Length:17,112 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical87% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
87%
e-commerce shopping
85%
news media journalism
80%
finance banking
77%
government public service
74%

Detected Features

Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18104.21.44.30Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.16.160.145Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
53.174.46.73Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
53.161.82.7Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5172.66.40.141Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
513.226.244.13Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5104.20.21.17Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
5172.66.43.115Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.67.194.85Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9817--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E839571958D213F062748C5B536778E72ABC27EEA0B4418B6FE83E52FD9E81EC13164

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4FREuNKy8/VFFOhIKHHMiEVhwKReMc9owHM35v1x0+2kmgPRF/yz6S04F:4FREuNKy8/VFQhxMhtbrq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87484:SRGm0uANEAQBAgMKISiiIBDABFSkNYEZSGGFcOBc2MltBhMRAgIo4QKGiZgqIkKiWgaJwQqJqBIgHqVBOWAQEgYGEGJQDBCE

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:00201818180000ff
Perceptual Hash:8843e666bd29bc69
Difference Hash:d5c9f131b1b1c197
Wavelet Hash:717d1919191941ff
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data