Security Scan Report: www.today.com

Redirected to: https://www.today.com/video/flight-attendant-uses-travel-perks-to-give-grandma-dream-trip-248739397956

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Submitted: Oct 1, 2025, 10:42:19 PMCompleted: Oct 1, 2025, 10:45:48 PMpubliccompleted
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Summary

This website contacted 247 IPs in 6 countries across 90 domains to perform 460 HTTP transactions. The main domain is today.com and was registered NaN years ago.

Submitted URL: https://www.today.com/video/doordash-rolls-out-new-delivery-robots-in-phoenix-arizona-248813125532

Effective URL: https://www.today.com/video/flight-attendant-uses-travel-perks-to-give-grandma-dream-trip-248739397956Redirected

The Cisco Umbrella rank of the primary domain is #68,242 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Page likely a phishing attempt using Amazon branding on an unrelated domain.

Risk Factors
Brand impersonation (Amazon) on a non‑Amazon domain
Domain not listed in Cisco Umbrella top 1M (UNRANKED)
Mismatched content: page title about a flight attendant vs. Amazon product ads in OCR text
Garbage OCR text suggests hidden or overlaid malicious content
Domain age information unavailable

Details

Page Title

Flight Attendant Goes Viral for Taking His Grandma on Dream Trip

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(81%)

Screenshot

Security scan screenshot of https://www.today.com/video/doordash-rolls-out-new-delivery-robots-in-phoenix-arizona-248813125532

Page Load Overview

81.58s
Total Load Time
460
HTTP Requests
90
Domains
16.1 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
Text Length:15,299 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network81% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
81%
entertainment media
77%
news media journalism
70%
e-commerce shopping
39%
government public service
32%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21499.83.154.140United States
AS16509AMAZON-02
118.203.61.82Dublin, Leinster, Ireland
AS16509AMAZON-02
1143.204.98.4United States
AS16509AMAZON-02
199.86.4.128United States
AS16509AMAZON-02
123.56.201.100Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
134.197.44.79Ashburn, Virginia, United States
AS14618AMAZON-AES
1146.75.122.114Frankfurt am Main, Hesse, Germany
AS54113FASTLY
195.101.178.204Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1172.64.155.110United States
AS13335CLOUDFLARENET
1104.26.6.229United States
AS13335CLOUDFLARENET
460247--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182B41A71B199117A129792DCB6713F09E0D7C08ECE639A84D6B4C3B90BCECB9F56660C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:66FmUZCuugZGeh5eKR2UAZkkGkc7kcVT+Fnie033T+F6wBkgK:jGeh32UAZbGL7LVT+8T+hBkgK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500191:xI0kAAAjkjYZEsMo/DwwAkAI0Cb1TgJgDoGAQTA2gAEnkBFYErABEMBIBbhEAtQVGQCI25ARQYEuSUAARifHMiYmyWBoCAaA

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:ff000400000000ff
Perceptual Hash:a636e934cb46f930
Difference Hash:850414646515009b
Wavelet Hash:ff070727070501ff
Color Hash:#4d3a78

Other Hashes

Scan History

Scan history not available

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