Security Scan Report: hebrewphrasesblog-e015a47385-dpj6w40d8dzw.edgeone.dev

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Submitted: Jun 30, 2026, 6:54:33 AMCompleted: Jun 30, 2026, 6:55:42 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is hebrewphrasesblog-e015a47385-dpj6w40d8dzw.edgeone.dev and was registered NaN years ago.

Submitted URL: https://hebrewphrasesblog-e015a47385-dpj6w40d8dzw.edgeone.dev/acl-tickets-buy-early.html

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site shows no credential or payment collection, no malicious indicators, but high JS obfuscation and unknown subdomain age raise moderate concern.

Risk Factors
High JavaScript obfuscation score (critical)
Subdomain on a hosting platform with unknown age
Safety Factors
Page type is article (og:type=article) – informational content
No forms, no credential exfiltration
No IDS or Suricata alerts
No IoC or YARA malware detections
Hosted on reputable edgeone.dev platform
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

ACL Tickets Buy Early: How to Secure Your Spot for the 2024 Season

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(81%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'hebrewphrasesblog-e015a47385-dpj6w40d8dzw.edgeone.dev' is registered with subdomain 'hebrewphrasesblog-e015a47385-dpj6w40d8dzw'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hebrewphrasesblog-e015a47385-dpj6w40d8dzw.edgeone.dev/acl-tickets-buy-early.html

Page Load Overview

2.15s
Total Load Time
14
HTTP Requests
10
Domains
173 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:3,912 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
81%
cryptocurrency blockchain
68%
news media journalism
67%
blog personal website
66%
government public service
66%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.188.222United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2142.251.110.95United States
AS15169Google LLC
243.174.246.29Singapore
145--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A872E967E6802728AB310557B591B7FCBD2A801BE356CCE078C9F338DB857DB45B2684

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:m7O9hnYf8zX+pgOOOjOl/81O0tGs1zbworWag4MV0z:Phnz+pszsJhrWag4WG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16574:FSxIKIKAiqLO64gBqngAkIrECMQUKEJA7DcjECpvESMxAPCgwNOQ0oYJlgMbsFBA8ABExVQURS9UklBMAQURnZYVk1DACABU

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:c7ffffc3cf838383
Perceptual Hash:bcc73c38316c91c7
Difference Hash:162c0026363b3f3e
Wavelet Hash:83fffe82c3818383
Color Hash:#c58787

Other Hashes

Crop Resistant:162c0026363b3f3e

Scan History

Scan history not available

Unable to load historical scan data