Security Scan Report: littlecold-url-0uetqu49mv.edgeone.app

Submitted: Mar 6, 2026, 5:57:58 AMCompleted: Mar 6, 2026, 5:59:52 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is littlecold-url-0uetqu49mv.edgeone.app and was registered NaN years ago.

Submitted URL: https://littlecold-url-0uetqu49mv.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Document

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'littlecold-url-0uetqu49mv.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'littlecold-url-0uetqu49mv'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Word splitting yields 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://littlecold-url-0uetqu49mv.edgeone.app/

Page Load Overview

0.60s
Total Load Time
2
HTTP Requests
1
Domains
4 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
Text Length:8 chars
Detector Agreement:0%

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
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

T1FBD0228380E2080C40B083200CD0F0641D89599573529D40BDCAA09C0ECDB22C9D349C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVWJhquHbszvYl/iCsAAbHblu+FYBzO907vXUveKGQIeRv5AEtvAU3Nqz:h4hqIY7YvfAbpli7vkGSIAmEdA8qz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:8baebbb83f764ab7af5e5831583083d4

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#783c3a

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data