Security Scan Report: zazz-app.bond

Redirected to: https://zazz-app.bond/#/

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Submitted: Feb 23, 2026, 12:27:25 PMCompleted: Feb 23, 2026, 12:28:56 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 93 HTTP transactions. The main domain is zazz-app.bond and was registered NaN years ago.

Submitted URL: https://zazz-app.bond/

Effective URL: https://zazz-app.bond/#/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection fields
Standard hosting with no suspicious behavior
Domain age > 180 days
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(56%)

Domain Information

The domain name 'zazz-app.bond' uses the .bond top-level domain while skipping any subdomain. The core label 'zazz-app' covers 8 characters containing 2 vowels alongside 5 consonants, plus one hyphen. Tokenizing the label suggests 3 words: za, zz, app. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zazz-app.bond/

Page Load Overview

6.76s
Total Load Time
94
HTTP Requests
2
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:7,509 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
56%
government public service
26%
corporate
25%

Detected Features

Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
47188.114.96.3United States
AS13335Cloudflare, Inc.
47106.54.228.253United States
942--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E8409BAA04620AA23A3C1D5E6A0FB593536EA23C5414F19F14F721CCFDEDD2146376B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:OUtneJi06DA1NPF1QzePuv1oxPE5PZbnwlOI:OUtnvQNTCeBMx8N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:394787:R401EACSEILhBNRsGQEICdEIMu0QgQJJOKFGQyAHA0D8EgAiAhICIkCkAIEIWYZAmJIpEmOFOAMSfiAg5CEkwwjp0zAAEDKq

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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