Security Scan Report: fellow-blush-tfqbenf2pd-f9ufibt0ma.edgeone.app

Submitted: Feb 4, 2026, 2:05:20 AMCompleted: Feb 4, 2026, 2:06:32 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is fellow-blush-tfqbenf2pd-f9ufibt0ma.edgeone.app and was registered NaN years ago.

Submitted URL: https://fellow-blush-tfqbenf2pd-f9ufibt0ma.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: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain reduces phishing likelihood
Low ranking alone is not a strong indicator
Absence of credential or payment collection forms
No external links or redirects
No suspicious JavaScript or Indicators of Compromise
Domain age information unavailable

Details

Page Title

Final Flock Performance Report – Feed Trial Outcomes (Flock 39)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(47%)

Domain Information

The domain 'fellow-blush-tfqbenf2pd-f9ufibt0ma.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'fellow-blush-tfqbenf2pd-f9ufibt0ma'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Splitting it apart reveals 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://fellow-blush-tfqbenf2pd-f9ufibt0ma.edgeone.app/

Page Load Overview

5.61s
Total Load Time
3
HTTP Requests
2
Domains
1.0 MB
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:6,494 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service47% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
47%
documentation technical
45%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
1146.75.122.217Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
32--

Detected Technologies2

50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2636226A5A0063F994307DCE3857BA731EDE24BC75608D872ED0473AF1CD3A6DA7285

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XFtNFnyZzIDDt1kSQ3cfGL82SUv/hSkRdjpG3Pi9RdSQ3cfZz+bs:fRURQqs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72472:AIWbhkDMBQ2wBAgCl6hBEEQigCBwBA0QVQwNIGMCFgQUiQFIAlsI1NFGAT4EkSiYWNHwdEJxzQENFimAlAo4YAmQgAZxoiiJ

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:e7e79f8383df8f83
Perceptual Hash:bcc1d2d26d32cc9a
Difference Hash:0c0e232737283c23
Wavelet Hash:e7e78381839f8781
Color Hash:#931f61

Other Hashes

Crop Resistant:0c0e232737283c23

Scan History

Scan history not available

Unable to load historical scan data