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Security Scan Report: startinfluencers.net

Redirected to: https://startinfluencers.net/pages/common/login

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Submitted: Dec 4, 2025, 3:20:30 PMCompleted: Dec 4, 2025, 3:21:51 PMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 3 domains to perform 36 HTTP transactions. The main domain is startinfluencers.net and was registered NaN years ago.

Submitted URL: http://startinfluencers.net/

Effective URL: https://startinfluencers.net/pages/common/loginRedirected

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

New unranked site showing a login page but no obvious malicious activity; low risk.

Risk Factors
Brand‑new domain (<7 days) often used for phishing setups
Unranked domain lacking reputation
Login page displayed without visible form (potential hidden credential collection)
Safety Factors
No malicious Indicators of Compromise matches found
No external links or redirects to suspicious sites
No password, email, or payment fields detected
Domain age information unavailable

Details

Page Title

Iniciar sesión

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

corporate business

(61%)

Domain Information

You're looking at domain 'startinfluencers.net' on the network infrastructure generic top-level domain (.net) and has no subdomain. The second-level label 'startinfluencers' is 16 characters long holding 5 vowels versus eleven consonants. It segments into 3 words: start, influence, rs. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://startinfluencers.net/

Page Load Overview

0.66s
Total Load Time
36
HTTP Requests
3
Domains
38 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:196 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business61% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
61%
finance banking
46%
e-commerce shopping
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32104.21.39.20United States
AS13335CLOUDFLARENET
2104.21.7.10United States
AS13335CLOUDFLARENET
1124.221.80.91Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
1172.67.142.54United States
AS13335CLOUDFLARENET
1106.54.228.253Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
1172.67.155.90United States
AS13335CLOUDFLARENET
1124.220.205.65Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
12606:4700:3033::6815:70aUnited States
AS13335CLOUDFLARENET
1111.231.169.247Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
12408:4005:30a:4302:6218:d8d9:db29:5de0Hangzhou, Zhejiang, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
3620--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15B4252343006287751379BC1F4E25F4D6183A739D3895628F7B9076A6FCECE88DA4B68

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:4mCQzYsDTL9sp94jFZ5LfRBMLfRuLYLfRMLWLfRPLwLfRxLoBTzhBeC3SQJ:fCQzYsDTL9sp94jFZ5LfzMLfcMLf6qL9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12568:gAcLIDKXAQIHAAwopgIDgjcKAkARIqAFOkUArOlAUXYq0BDKUySUBfEAiMREGID9GUAgwhwGNQAHFkFkKiEIDggJWA4NDA53

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:0000000000000000
Perceptual Hash:b333338ccccccc66
Difference Hash:0000000000000000
Wavelet Hash:3c24343c0f0f0f0f
Color Hash:#9ac587

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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