Security Scan Report: login.inbcu.com

Submitted: Nov 21, 2025, 10:58:32 PMCompleted: Nov 21, 2025, 10:59:08 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 16 HTTP transactions. The main domain is login.inbcu.com and was registered NaN years ago.

Submitted URL: https://login.inbcu.com/login/login.jsp

The Cisco Umbrella rank of the primary domain is #405,271 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

Phishing login page impersonating NBCUniversal on a low‑ranked domain.

Risk Factors
Brand impersonation of NBCUniversal on an unrelated domain
Hidden password field (potential credential harvesting)
Low Cisco Umbrella ranking for a site claiming a major brand
Domain age information unavailable

Details

Page Title

NBCUniversal SSO Login

Scan Type

public

Language

🇺🇸

English

(63% confidence)

Category

entertainment media

(55%)

Domain Information

The domain 'login.inbcu.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'login'. The core label 'inbcu' covers 5 characters containing 2 vowels alongside 3 consonants. Word splitting yields three words: in, bc, u. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://login.inbcu.com/login/login.jsp

Page Load Overview

1.03s
Total Load Time
16
HTTP Requests
1
Domains
39 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:63%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:63%
Script Type:Latin
Text Length:206 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media55% confidence
Type: webapp
Method: ml+structural

All Detected Categories

entertainment media
55%
news media journalism
51%
corporate business
47%
government public service
34%
adult content
31%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1650.228.145.65New York, New York, United States
AS17035NBCUNI-17035
161--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T198F10A20ED9D9D178012487498BBF50CB66EC531CE28C884F2FDA5A51F46FC5C937D8A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+dWNpnFRHYdwtfvLNne4l1Q+g1QmCiygZYv+9R3Zv6+7kSb:+dKLYd+euv+f3Zv6+7km

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7475:JAHCgSBEjCCCUAoJQDgVcQIEwAGhciQFAVBCGCAiIEpDDGvwriiXAOFRBQIYUoQAAcCyYCALEUUCABYAiRlBJAEAgZgwLsME

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:00181b1b0f1f3f7f
Perceptual Hash:885df6727648d8c9
Difference Hash:37b3b3f7f7ffffff
Wavelet Hash:00011b071f1f3fff
Color Hash:#86612d

Scan History

Scan history not available

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