Security Scan Report: marketingapi.hellobike.com

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Submitted: Jul 13, 2026, 4:15:58 AMCompleted: Jul 13, 2026, 4:17:45 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is marketingapi.hellobike.com and was registered NaN years ago.

Submitted URL: https://marketingapi.hellobike.com

The Cisco Umbrella rank of the primary domain is #180,994 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site shows no malicious indicators and is hosted on an old, well‑established domain.

Safety Factors
Well‑established domain with long registration history
No malicious scripts or exfiltration behavior observed
No external links to known malicious sites
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇮🇹

Italian

(36% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'marketingapi.hellobike.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'marketingapi'. Count 9 characters in 'hellobike' split between four vowels and 5 consonants. Breaking it apart gives two words: hello, bike. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://marketingapi.hellobike.com

Page Load Overview

0.88s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:36%
Script Type:Latin
Text Length:48 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28.139.5.153Hangzhou, Zhejiang, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12DD09772D621280B10320BDC8D8295098BC8B30BA0218E01B984EB70C8D6A56C0231A0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B968A4XJsTY4VEB4cRNdxELa:kxV7HfR4ZNl7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:1800b49d7d0f3a0cbe26368ca215ed6d

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:00ffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#3a7869

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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