Security Scan Report: wet-coffee-w3ou7rjx-dpdu206vb3r0.edgeone.dev

Submitted: Sep 16, 2026, 2:01:47 AMCompleted: Sep 16, 2026, 2:02:09 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 55%

2
Risk Score

Unranked edgeone.dev page showing health-certificate data with no forms, no impersonation, no malware/YARA/IDS hits. The lone threat-intel tag is generic abuse reputation on a third-party address and adds no content risk.

Safety Factors (5)
No credential or payment forms of any kind (0 password, 0 payment, 0 total forms)
No brand impersonation — page presents generic health-certificate information, not another entity's brand
No YARA/JS malware, no phishing kit roster match, no IDS alerts
No cross-origin credential handling or exfiltration
Single-source, unverified threat-intel entry applies to a third-party resource address, not this site's address
Domain age information unavailable

Details

Page Title

健康证信息

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'wet-coffee-w3ou7rjx-dpdu206vb3r0.edgeone.dev' is registered; it also runs on subdomain 'wet-coffee-w3ou7rjx-dpdu206vb3r0'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Splitting it apart reveals two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wet-coffee-w3ou7rjx-dpdu206vb3r0.edgeone.dev/

Page Load Overview

0.86s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:zh-CN
Text Length:214 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content91% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
91%
healthcare medical
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
313.248.169.48Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
043.174.247.29Singapore
043.174.246.29Singapore
076.223.54.146Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170B1BCA195F30173107390E22A968F5B3EE1950BC2DAC2583AED5BD44F9EC81FC539A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:tLdktWNBJbB+j4QPwap5xJU8RAV4Sduvb:9dkkNBNB+0QnTJfR/D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5522:RKISJYYYAiFEgEEQFEAgUgAgAlwEAABAYxxBwYhBIEEAJQdSTISBiACAABAaQiI2WJkCAwQAUABAJcoMuQAAiACDICgAQCQB

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:1818181818181818
Perceptual Hash:dd99269922713373
Difference Hash:3232323232323232
Wavelet Hash:d8d8d8d8d8d8d8d8
Color Hash:#4055bf

Other Hashes

Crop Resistant:3232323232323232

Scan History

Scan history not available

Unable to load historical scan data