Security Scan Report: zufefutiw.webhop.me

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is webhop.me and was registered 18 years ago.

Submitted URL: https://zufefutiw.webhop.me/ococi/

AI Security Verdict

Low Risk

Confidence: 95%

3
Risk Score

DocuSign-branded credential phishing page on a throwaway dynamic-DNS host (zufefutiw.webhop.me) using a fake 'pending signature' document lure to harvest email and password.

Risk Factors (4)
Impersonation of the DocuSign brand on a non-official dynamic-DNS domain
Credential collection form (email + password) on impersonating infrastructure
Urgency/social-engineering lure ('Document Awaiting Your Signature', fake employment agreement)
HIGH IDS alerts for dynamic-DNS (.webhop.me) usage
Safety Factors (3)
No cross-origin form submission or credential exfiltration detected in the browser
No JavaScript malware or YARA pattern matches found
The site's own login form (credentials submit to its own domain; 6658 days old) with no strong malicious indicators — a first-party sign-in is normal; risk clamped from 10 to 3
Domain age information unavailable

Details

Page Title

DocuSign

Scan Type

public

Domain Name Analysis

The domain name 'zufefutiw.webhop.me' uses the Montenegrin country-code top-level domain (.me) and includes subdomain 'zufefutiw'. The registrable portion 'webhop' spans 6 characters with 2 vowels and 4 consonants. Tokenizing the label suggests two words: web, hop. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zufefutiw.webhop.me/ococi/

Page Load Overview

1.54s
Total Load Time
6 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:392 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical27% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
27%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3155.117.19.42Los Angeles, California, United States
AS26042FiberState, LLC
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B84251AB66E300027943F5783BE7975A7665C043D106DD6C3EDC638C9F8AA849E6378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:iLDW7V+u++2mmPS6mpI+AlCHjlFMXn9t9Np3szFHFQ05HvyJRw0:iCcPxWFM2FHFww0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12419:BEykkxJoABDoA4QRmEAASJQYBIDSIQBMg6mgIEEesOyAeHCBEYoYM4nCHYIwiBAASAUiIJZmSBoQQAcU2AUwgY2OATATppAo

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:7f3c3c2c3c243c3c
Perceptual Hash:938d8d27a98d278d
Difference Hash:e9796969694d71e8
Wavelet Hash:7f3c3c2c3c243c3c
Color Hash:#99ac53

Other Hashes

Crop Resistant:e9796969694d71e8

Scan History

Scan history not available

Unable to load historical scan data