Security Scan Report: curly-smoke-fdf4.rm1032308.workers.dev

Submitted: Sep 11, 2026, 12:45:34 PMCompleted: Sep 11, 2026, 12:49:11 PMpubliccompleted

This website contacted 4 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is curly-smoke-fdf4.rm1032308.workers.dev and was registered 10 years ago.

Submitted URL: https://curly-smoke-fdf4.rm1032308.workers.dev/?app_vl=aHx3kWxjaIeVoL2twK2XgndfpsKj1Zqerphfpn1xkGiTqaOZl3yPsg&dd=UiEnNzAlayQ1IS4iPzooNi5-ODw1Ow&e=daniel.tuor%40kns.ch&sui=%7Bsui%7D&fn=Daniel&ln=Tuor&p=&z=CH-CHUNSUBFN-FNLN-0809-VUL01

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Page references Apple brand but lacks credential collection; unknown age and unranked domain raise moderate suspicion.

Risk Factors (3)
Brand impersonation without credential collection
Unknown domain age
Unranked domain (not in Cisco Umbrella top 1M)
Safety Factors (2)
No forms collecting credentials or payment data
No malicious JavaScript or network indicators
Domain age information unavailable

Details

Page Title

Apple iPad Pro

Scan Type

public

Domain Name Analysis

The domain name 'curly-smoke-fdf4.rm1032308.workers.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'curly-smoke-fdf4.rm1032308'. Count 7 characters in 'workers' with 2 vowels and five consonants. Breaking it apart gives one word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://curly-smoke-fdf4.rm1032308.workers.dev/?app_vl=aHx3kWxjaIeVoL2twK2XgndfpsKj1Zqerphfpn1xkGiTqaOZl3yPsg&dd=UiEnNzAlayQ1IS4iPzooNi5-ODw1Ow&e=daniel.tuor%40kns.ch&sui=%7Bsui%7D&fn=Daniel&ln=Tuor&p=&z=CH-CHUNSUBFN-FNLN-0809-VUL01

Page Load Overview

2.70s
Total Load Time
615 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:1,800 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software100% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
100%
entertainment media
100%
education learning
99%
documentation technical
98%
government public service
96%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2195.154.239.25Paris, Île-de-France, France
AS12876Scaleway SAS
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1195.154.239.27Paris, Île-de-France, France
AS12876Scaleway SAS
54--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB63A4E3A6B410307877D5A5A8861BCA7364A407D01BCAB8BFEC611CDFC59E6963770C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:56sKjbwrAi4MLw+eoNV8s66F2jYWzXqhUoYFeqcO:7OwrAi4MLw+fNVtBF2ZWuJMjO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66924:oiQAsUaCkUhaYj4gFjUBuAEFEKNcRAFcjCGuJBAcEMSFhUCtASMCRGUnAzDTCGYhgi3ASqwjgERpQkKNBwcBMMVyACwMEgAD

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:00ff9ffff3c3dfdf
Perceptual Hash:b84712794e5e394e
Difference Hash:729a282a261a3b38
Wavelet Hash:000c1cdcd383dfdf
Color Hash:#d279c6

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data