Security Scan Report: ddsgrowthsitus-851j992sno.edgeone.app

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Submitted: May 24, 2026, 3:53:49 PMCompleted: May 24, 2026, 3:55:25 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is ddsgrowthsitus-851j992sno.edgeone.app and was registered NaN years ago.

Submitted URL: https://ddsgrowthsitus-851j992sno.edgeone.app/17187-beijing-steps-up-calls-for-disaster-preparedness-in-southern-china-after-dozens-die-amid-severe-rain.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site appears to be a low‑risk article page with no phishing, malware, or credential‑stealing indicators.

Risk Factors
Low Cisco Umbrella ranking (455,732) for the subdomain
Unknown subdomain age on a hosting platform
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise or IDS alerts
JavaScript obfuscation score high but no malicious patterns
Domain age information unavailable

Details

Page Title

Beijing steps up calls for disaster preparedness in southern China after dozens die amid severe rain

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain name 'ddsgrowthsitus-851j992sno.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'ddsgrowthsitus-851j992sno'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Word splitting yields two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ddsgrowthsitus-851j992sno.edgeone.app/17187-beijing-steps-up-calls-for-disaster-preparedness-in-southern-china-after-dozens-die-amid-severe-rain.html

Page Load Overview

17.79s
Total Load Time
17
HTTP Requests
13
Domains
31 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,451 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
news media journalism
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3101.33.10.57Frankfurt am Main, Hesse, Germany
2142.251.14.94United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A62E673F940162C3B6312A8A2C5B2BCF77CC42ED74189A924EC97395B87ACF4935464

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMthnYf8zX+sg/ZRaA/FFJoTyyyZ1uWzYTdag4lDd:bQthnz+sg/ZRaA/FFJoTyt19YTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15783:YGghEYCbIJJ6DiCAmACQIUTBSWoonBi6QDvBEHCaECIjHIMAItKCFlIpBwGppkFJTGVQ0RIQSIEQAmICNwEk9RhABCABAEOI

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:c3c7c3c3c3c3ffff
Perceptual Hash:b430c37465c766c7
Difference Hash:161e161616161000
Wavelet Hash:c2c2c2c2c2c2fefe
Color Hash:#ac5353

Other Hashes

Crop Resistant:161e161616161000

Scan History

Scan history not available

Unable to load historical scan data