Security Scan Report: hostmyclaudehtml.com

Submitted: Completed: publiccompleted
This website contacted 12 IPs in 1 country across 7 domains to perform 11 HTTP transactions. The main domain is hostmyclaudehtml.com and was registered 7 months ago.

Submitted URL: https://hostmyclaudehtml.com/p/reQJWm7Gkn#[email protected]

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

DocuSign-branded credential phishing page on hostmyclaudehtml.com: victim email in URL fragment, email+password form, and a Telegram exfiltration script. Do not enter credentials.

Risk Factors (6)
DocuSign brand impersonation on a non-official domain
Credential harvesting form (email + password) on a domain unrelated to the claimed brand
Victim email address injected via URL fragment as a tracking/lure token
Telegram bot token in inline JavaScript indicating credential exfiltration channel
Multi-source corroborated phishing threat-intel match on the primary domain
Domain unranked in Cisco Umbrella despite claiming a major brand
Domain age information unavailable

Details

Page Title

DocuSign

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'hostmyclaudehtml.com' is registered while skipping any subdomain. The second-level label 'hostmyclaudehtml' is 16 characters long containing 4 vowels alongside 12 consonants. Splitting it apart reveals four words: host, my, claude, html. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Logging in... galel@f0eOd4e61f7b6a4d4672e0362b944f5c0ad6.com Change Password Enter Email Password Use another account

Page Load Overview

0.87s
Total Load Time
191 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:ko
Text Length:295 chars
Detector Agreement:100%
Language mismatch: Declared as ko but detected as en

Website Classification

Primary Category

documentation technical51% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
51%
news media journalism
50%
phishing scam
47%
gambling betting
44%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1134.111.179.208Google · CDNKansas City, Missouri, United States
AS396982Google LLC
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
0142.251.14.94Google · CDNUnited States
AS15169Google LLC
0142.251.153.119Google · CDNUnited States
AS15169Google LLC
0192.178.183.106Google · CDNUnited States
AS15169Google LLC
0104.18.25.163Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.178.183.95Google · CDNUnited States
AS15169Google LLC
0142.251.110.94Google · CDNUnited States
AS15169Google LLC
0142.251.157.119Google · CDNUnited States
AS15169Google LLC
1112--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F04276166DA708457553E4B83BA7A306F134C0079D05DE283EACA3A88F5AD82D97F79C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:F4UdL7wOuv4JA9cOy9QNy82u241dG+tYA2rikiBi5iFhhBB322Ictalpoj:mUM79f6Ru7HYAcikiBi5iF/BI1lpq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12121:Q+AQIEBYMFEQIeecIk2XFdhAIAVAKBgMIgFEEsELJUqJEQwAiiDwiJKIWIJYABIHpqAAIVLaAtdAKUFAsGCCoELSeU0YBCao

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:ffffe7e7e7e7ffff
Perceptual Hash:e6cc983363cccc33
Difference Hash:00000c0c0c0c0000
Wavelet Hash:0f0f272307070f0f
Color Hash:N/A

Other Hashes

Crop Resistant:00000c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data