Security Scan Report: t.co

Redirected to: blob:https://utica-cness.com/9ba6abf4-4a9c-4207-8012-c1d6b5ed6ee4

Submitted: Oct 10, 2025, 6:50:20 PMCompleted: Oct 10, 2025, 6:51:17 PMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 6 domains to perform 13 HTTP transactions. The main domain is .

Submitted URL: https://t.co/0K1QKKAZTo

Effective URL: blob:https://utica-cness.com/9ba6abf4-4a9c-4207-8012-c1d6b5ed6ee4Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed phishing site impersonating Capital One; avoid and report.

Risk Factors
Brand impersonation
Credential harvesting (login forms)
Disguised password fields
Unicode evasion
Unranked low‑reputation domain
Likely newly registered domain
Domain age information unavailable

Details

Page Title

Sign In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(79%)

Domain Information

Within the Colombian country-code top-level domain (.co), 't.co' is registered while skipping any subdomain. The registrable portion 't' spans 1 characters containing 0 vowels alongside 1 consonant. It segments into 1 word: t. Average segment length settles at 1 character. 't' most strongly signals Chinese (Zhuyin). It also appears in Catalan and Albanian contexts.

Screenshot

Security scan screenshot of https://t.co/0K1QKKAZTo

Page Load Overview

33.27s
Total Load Time
13
HTTP Requests
6
Domains
47 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:1,870 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking79% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
79%
documentation technical
53%
adult content
52%
corporate business
50%
technology software
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13151.101.66.137San Francisco, California, United States
AS54113FASTLY
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
035.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
050.116.92.76Phoenix, Arizona, United States
AS31898ORACLE-BMC-31898
054.36.31.145France
AS16276OVH SAS
0172.66.0.227United States
AS13335CLOUDFLARENET
02001:41d0:301:3::27France
AS16276OVH SAS
02a04:4e42:400::649United States
AS54113FASTLY
02a04:4e42::649United States
AS54113FASTLY
02a04:4e42:600::649United States
AS54113FASTLY
1316--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FF63433561E301BAA8B389D857EB2B463E849887D0C9D12477AC9BD84F838D5D47D3DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0Ql0WSjLNMFv9vteVCrXWtcLRlyA7q86mLTlyA7KWtm:0QlfSjLNAVVe5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67514:B4EYLSDgCF4IQSqbAdUAQMAGQCWpRFWaARgypsRkweItYIFAI1kZABACalAogJSsyFOAAOZIdodCM1JAyiG4AMJVIgOqEIKA

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:7fa5bde7c3ffcfff
Perceptual Hash:b38f8c27239d89b1
Difference Hash:e869704c4d2a2c00
Wavelet Hash:7f343c2c0424df0d
Color Hash:#931f5b

Other Hashes

Crop Resistant:e869704c4d2a2c00

Scan History

Scan history not available

Unable to load historical scan data