Security Scan Report: challenge.human.mittalslabglassware.com

Submitted: Nov 3, 2025, 6:08:17 AMCompleted: Nov 3, 2025, 6:09:20 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 4 domains to perform 13 HTTP transactions. The main domain is challenge.human.mittalslabglassware.com and was registered NaN years ago.

Submitted URL: https://challenge.human.mittalslabglassware.com/zzd.html#/bankofamerica.well-known/acme-challenge/RbotokRMTTHbFwuVlL1fFTkRw4I2hwfVYzckUH8whpTPBlILku8y

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Impersonates Bank of America on an unrelated domain; likely phishing.

Risk Factors
Brand impersonation on an unrelated, unranked domain
Suspicious form collecting data (g-recaptcha-response) without clear purpose
Domain mimics a major financial institution without any legitimate affiliation
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(74%)

Domain Information

The domain name 'challenge.human.mittalslabglassware.com' uses the commercial generic top-level domain (.com) with subdomain 'challenge.human'. Count 19 characters in 'mittalslabglassware' holding 6 vowels versus 13 consonants. It segments into 4 words: mitta, l, slab, glassware. Median word length comes out to 4.5 characters. 'mitt' most often appears in English. Secondary signals appear in Chinese (Zhuyin) and Norwegian.

Screenshot

Security scan screenshot of https://challenge.human.mittalslabglassware.com/zzd.html#/bankofamerica.well-known/acme-challenge/RbotokRMTTHbFwuVlL1fFTkRw4I2hwfVYzckUH8whpTPBlILku8y

Page Load Overview

34.70s
Total Load Time
13
HTTP Requests
4
Domains
1.1 MB
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:70 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking74% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
74%
adult content
55%
government public service
54%
healthcare medical
52%
news media journalism
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6138.68.164.164Slough, England, United Kingdom
AS14061DIGITALOCEAN-ASN
1142.250.186.68United States
AS15169GOOGLE
1142.250.185.163United States
AS15169GOOGLE
1216.58.206.35United States
AS15169GOOGLE
12a00:1450:4001:82f::2004Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1142.250.185.99United States
AS15169GOOGLE
12a00:1450:4001:830::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a00:1450:4001:80e::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
138--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145B1A75107B01530E81F97B031A0B38995336327F6C28AF479AC3E54EF8D9FA45A7799

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nkWkTrsSCf5FnmczWRttmTQ0vqHGOynLczWRttpTQ0W69Pz:k5O5FXzWRttm7qXzWRttp7Wgz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5474:gEGASQEoAAUBTQWmTQALJCQQACkEEQEsECAQlEQiCIMAMBNUGqMiARRpYEBS0AEAgJATHHAAlwmTAJoKUACqAMoKDJkABkRo

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:cfc3ffffffffffff
Perceptual Hash:b1313111cececece
Difference Hash:909e200000000000
Wavelet Hash:03031313f0f0f0f0
Color Hash:#c1d279

Other Hashes

Crop Resistant:909e200000000000

Scan History

Scan history not available

Unable to load historical scan data