Security Scan Report: obedient-salmon-dkc11qn7a9-0od1nwccwo.edgeone.app

Submitted: Mar 1, 2026, 5:04:00 AMCompleted: Mar 1, 2026, 5:05:11 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is obedient-salmon-dkc11qn7a9-0od1nwccwo.edgeone.app and was registered NaN years ago.

Submitted URL: https://obedient-salmon-dkc11qn7a9-0od1nwccwo.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low‑risk site; no malicious activity detected, likely a benign file collection page.

Risk Factors
New subdomain on a hosting platform with unknown age (moderate suspicion)
Safety Factors
No forms or password fields present
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
HTTPS connection
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

education learning

(52%)

Domain Information

Domain 'obedient-salmon-dkc11qn7a9-0od1nwccwo.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'obedient-salmon-dkc11qn7a9-0od1nwccwo'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Breaking it apart gives 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://obedient-salmon-dkc11qn7a9-0od1nwccwo.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:52 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

education learning52% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
52%
news media journalism
51%
adult content
49%
government public service
46%
documentation technical
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16002C5CAEBA705C8A81BC0682FFB5324222DE017D448CD5DB99E1F548F4518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB4h1RaXQl:KrzhNK/lMHmGgdkqfd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8701:IA2C1nACBQMYNXUcCU2ApAhiSACkDQQgMFgLSEIyqDKQgIEIAMZ0wyKQiYciINaAgTicVWCmaEBbBAlBAAIGGCrKODaXAEER

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#2d864c

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data