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Security Scan Report: t.co

Redirected to:
https://mysupport-center.framer.website/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/861b3178-5862-4785-9e5c-eff09748eb67Domain and IP registration (RDAP)/api/v1/rdap/861b3178-5862-4785-9e5c-eff09748eb67How often this domain was scanned/api/v1/domain/stats/t.coScan history for this domain/api/v1/domain/history/t.co?limit=15
This website contacted 13 IPs in 2 countries across 7 domains to perform 36 HTTP transactions. The main domain is t.co and was registered 16 years ago.

Submitted URL: https://t.co/pfhr2ROamb

Effective URL:
https://mysupport-center.framer.website/
Redirected

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

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Page hosts a credential‑phishing login form with disguised fields and Unicode evasion; despite an old, reputable domain, it is high‑risk and should be avoided.

Risk Factors (5)
Credential harvesting form
Disguised password field
Unicode evasion in input fields
Domain does not belong to a known email provider
Use of URL shortener to mask final domain
Domain age information unavailable

Details

Page Title

mywebmail-support

Scan Type

public

Domain Name Analysis

You're looking at domain 't.co' on the Colombian country-code top-level domain (.co) without a subdomain. Its registrable label 't' stretches across 1 characters split between zero vowels and one consonant. It segments into one word: t. Expect 1 character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Webmail Enter your email address Enter your email password ju eBtina ~—dansk == Deutsch «= EMAqvin «= espafiol —espaiiollatinoamericano —_—espafiol de Espafia cP Copyright 2026 cPanal, LLC. Priva...

Page Load Overview

1.56s
Total Load Time
359 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:135 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
57%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1265.9.175.129United States
AS16509Amazon.com, Inc.
265.9.175.3United States
AS16509Amazon.com, Inc.
231.43.160.6Amsterdam, North Holland, Netherlands
AS16509Amazon.com, Inc.
2162.159.140.229United States
AS13335Cloudflare, Inc.
218.64.211.99United States
AS16509Amazon.com, Inc.
265.9.175.35United States
AS16509Amazon.com, Inc.
265.9.175.34United States
AS16509Amazon.com, Inc.
265.9.175.52United States
AS16509Amazon.com, Inc.
265.8.131.116United States
AS16509Amazon.com, Inc.
218.245.60.101United States
AS16509Amazon.com, Inc.
3613--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F9C30F936119F064ACD7697EEB5DE52C98252140FF32C38BB2EE825F45CDAF42252B1C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vCvzVJVXL3eHCe+8VtedkVmVPaU9VlaTVhVk9VCwlhsIMQBG1v:vI6+skG1v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123314:RxiBCgAExtOmrBgFgAoAObiqZVAAEgARKkgAIAgQAMEIFW2JEtSgyBRYAEgYUoxGEAD+FYcCgE64AhUDTIwnTYk1AoAVQH60

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:e7e7e7ffffffe3ff
Perceptual Hash:b33333cccc646666
Difference Hash:0c0c4d000800060c
Wavelet Hash:e4e4e4fc0f0f0327
Color Hash:N/A

Other Hashes

Crop Resistant:0c0c4d000800060c

Scan History

Scan history not available

Unable to load historical scan data