Security Scan Report: t.co

Redirected to: blob:https://bang338.net/343a4116-a60f-4be3-bbd4-af04af82d537

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Submitted: Dec 27, 2025, 11:12:00 PMCompleted: Dec 27, 2025, 11:12:21 PMpubliccompleted
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Summary

This website contacted 10 IPs in 1 country across 11 domains to perform 23 HTTP transactions. The main domain is .

Submitted URL: https://t.co/P3RamBqo7J

Effective URL: blob:https://bang338.net/343a4116-a60f-4be3-bbd4-af04af82d537Redirected

The Cisco Umbrella rank of the primary domain is #1,176 of the top 1 million websitesTop 10K Site

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing site impersonating American Express, high confidence

Risk Factors
Credential harvesting login forms with password fields
Disguised password fields to trick users
Unicode character mixing to evade detection
Compromised WordPress infrastructure
New, untrusted domain mimicking a major brand
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

(69%)

Domain Information

Domain 't.co' uses the Colombian country-code top-level domain (.co) without a subdomain. The core label 't' covers 1 characters split between 0 vowels and 1 consonant. Breaking it apart gives 1 word: t. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://t.co/P3RamBqo7J

Page Load Overview

8.46s
Total Load Time
23
HTTP Requests
0
Domains
N/A
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 banking69% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
69%
government public service
69%
education learning
52%
corporate business
37%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
372.246.29.141UnknownUnknown
3151.101.2.137UnknownUnknown
263.176.8.218UnknownUnknown
1104.17.24.14UnknownUnknown
192.39.69.232UnknownUnknown
1172.66.0.227UnknownUnknown
123.197.140.100UnknownUnknown
123.227.39.200UnknownUnknown
1142.251.141.106United States
AS15169GOOGLE
1140.99.164.160UnknownUnknown
010--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB042A1715A655251C6F2CEA4FE73E4D7A94F483C802C650F4ED8ACCAF97B81899A3CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fdTO/YGu3iIob0mTbYkIOHLS0nRV+U1Y2AzEbtVcDrM3ZLhNS2kEO5Qw7qUr49iq:fdTOlGA0mTlLSiRV+cY3wbTuMQ5mwW9t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:186557:coWGKLF4JwAyIAgJOgCyAQQtNDWciZiaDsrEogJ85wEMDk4CsAASQEISDJQECBAEDeTHBoyVDOAIHHkykVoARIAQEjQgJAkI

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:#ac7553

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data