Security Scan Report: yieldbooster.io

Redirected to:
https://yieldbooster.io/#/login
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Submitted: Jun 23, 2026, 9:13:00 PMCompleted: Jun 23, 2026, 9:14:22 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is yieldbooster.io and was registered NaN years ago.

Submitted URL: https://yieldbooster.io

Effective URL: https://yieldbooster.io/#/loginRedirected

The Cisco Umbrella rank of the primary domain is #555,966 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

The site impersonates the Intowow brand on an unrelated domain, posing a high‑risk phishing threat.

Risk Factors
Brand impersonation of a different entity
Low domain reputation rank for claimed brand
Mismatched branding vs. domain
Safety Factors
Well‑established domain age (2631 days)
No malicious JavaScript patterns or IDS alerts
No credential or payment collection forms
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 8 to 3
Domain age information unavailable

Details

Page Title

Intowow Console

Scan Type

public

Language

🇺🇸

English

(61% confidence)

Category

technology software

(70%)

Domain Information

The domain name 'yieldbooster.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with no subdomain. Its registrable label 'yieldbooster' stretches across 12 characters split between 5 vowels and 7 consonants. Word splitting yields two words: yield, booster. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yieldbooster.io

Page Load Overview

2.40s
Total Load Time
10
HTTP Requests
5
Domains
78 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:61%
Script Type:Latin
Text Length:99 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
government public service
57%
cryptocurrency blockchain
44%
news media journalism
42%
documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
475.2.60.5United States
AS16509Amazon.com, Inc.
3142.250.154.95United States
AS15169Google LLC
3104.18.0.22United States
AS13335Cloudflare, Inc.
103--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E58172B25410AC5DB713948CAEE0A706A04BC18BCF6A4C59D1FA677DA3CC9DC2CB65CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:sSr2zX8x240Eko3QZGOWtr7xefdWkBQmwvV:s3zXoHfrAUH81ZgV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3871:AAgSELRIBAShAADCAKAQAJMACggYy4JQQQAQAeAgAyABYCAAAAREACQYAECACDAAAEBFARAABgAUBCBIlQAhAAEAgAAQCSAG

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:007e7e7e00000000
Perceptual Hash:93936c6c299b93c6
Difference Hash:33ccc0cc03c00000
Wavelet Hash:187effff00000000
Color Hash:#796ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data