Security Scan Report: t.co

Redirected to: blob:https://pub-b5b55eb6cfc24a53a2bb98b0e4ca4be7.r2.dev/994c856f-5e88-4cad-adf8-79ade6c59eff

Submitted: Nov 13, 2025, 5:05:38 PMCompleted: Nov 13, 2025, 5:06:57 PMpubliccompleted
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Summary

This website contacted 29 IPs in 0 countries across 11 domains to perform 16 HTTP transactions. The main domain is .

Submitted URL: https://t.co/aEFeN2ZfN5

Effective URL: blob:https://pub-b5b55eb6cfc24a53a2bb98b0e4ca4be7.r2.dev/994c856f-5e88-4cad-adf8-79ade6c59effRedirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing site impersonating American Express, hosted on cloud storage with credential‑stealing forms.

Risk Factors
Brand impersonation on an unranked, non‑official domain
Credential harvesting forms on cloud storage URL
Disguised password fields to trick users
Unicode character mixing for evasion
Likely newly registered domain with no reputation
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%)

Domain Information

The domain name 't.co' uses the Colombian country-code top-level domain (.co) with no subdomain. The second-level label 't' is 1 characters long with zero vowels and one consonant. Splitting it apart reveals 1 word: t. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://t.co/aEFeN2ZfN5

Page Load Overview

48.17s
Total Load Time
16
HTTP Requests
11
Domains
440 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
1623.201.242.36UnknownUnknown
0151.101.194.137UnknownUnknown
050.116.113.178UnknownUnknown
0104.18.54.45UnknownUnknown
023.227.39.200UnknownUnknown
063.176.8.218UnknownUnknown
035.157.26.135UnknownUnknown
0151.101.66.137UnknownUnknown
0162.159.140.229UnknownUnknown
0142.250.186.170UnknownUnknown
1629--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142042A1715A655251C6F2CEA4FE73E4D7A94F083C802C650F4ED8ACCAF97B81899A3CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fdTO/YGu3iIob0mTbYkIOHLS0nRV+U1Y2AzEbtVcDrM3ZLhNS2kEO5Qw7qUreaiq:fdTOlGA0mTlLSiRV+cY3wbTuMQ5mwW70

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:186546:hAESKICQeoiFqAkQCLIQBHTFQrlAaNAwBoBGColaAnfjPIQAGaWEIhjRQNvD0AQHCoiBESknIAkHZVBAAfQBAVEDEABkYwjg

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:#7982d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data