Security Scan Report: t.co

Redirected to: blob:https://hvidovreautoophug.dk/c3675199-f2af-4b99-8cf2-5d5b95949300

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Submitted: Oct 2, 2025, 4:40:55 PMCompleted: Oct 2, 2025, 4:41:43 PMpubliccompleted
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Summary

This website contacted 27 IPs in 5 countries across 11 domains to perform 17 HTTP transactions. The main domain is .

Submitted URL: https://t.co/UXOTJlDYCw

Effective URL: blob:https://hvidovreautoophug.dk/c3675199-f2af-4b99-8cf2-5d5b95949300Redirected

The Cisco Umbrella rank of the primary domain is #1,020 of the top 1 million websitesTop 10K Site

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

Phishing page impersonating American Express; high risk of credential theft.

Risk Factors
Brand impersonation on an unrelated domain
Hidden/disguised password inputs
Unicode evasion techniques
Excessive login and verification forms
Lack of legitimate domain ownership
Domain age information unavailable

Details

Page Title

Log in to My Account | American Express US

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(30%)

Screenshot

Security scan screenshot of https://t.co/UXOTJlDYCw

Page Load Overview

11.27s
Total Load Time
17
HTTP Requests
11
Domains
196 KB
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:3,997 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking30% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
30%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.250.185.202United States
AS15169GOOGLE
023.227.60.200Canada
AS13335CLOUDFLARENET
0104.17.25.14United States
AS13335CLOUDFLARENET
0157.250.163.27Denmark
AS3342Cibicom A/S
035.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
023.45.100.32Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
0162.159.140.229United States
AS13335CLOUDFLARENET
08.134.88.15Guangzhou, Guangdong, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
023.197.140.100Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1727--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F042A1715A655251C6F2CEA4FE73E4D7A94F483C802C650F4ED8ACCAF97B81899A3CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fdTO/YGu3iIob0mTbYkIOHLS0nRV+U1Y2AzEbtVcDrM3ZLhNS2kEO5Qw7qUreEiq:fdTOlGA0mTlLSiRV+cY3wbTuMQ5mwW72

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:186551:DEEEWQHAcYSRICAyNJfsBoQAEqBBiAox8JhEAI9dKgjlGwwDj8IBECgRIodBQgFCgghBQwZTRgiASJIGAsMAIQHAZGgmmA0K

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:fd32324648baffff
Perceptual Hash:e464cb9b9b92c664
Difference Hash:596666949a661515
Wavelet Hash:bd3030300838ffff
Color Hash:#b4c587

Other Hashes

Scan History

Scan history not available

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