Security Scan Report: adbesta.edgeone.app

Submitted: Aug 6, 2026, 10:50:02 AMCompleted: Aug 6, 2026, 10:51:12 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

The site impersonates Adobe, collects login credentials, and is linked to a known malicious IP – treat as confirmed phishing scam.

Risk Factors (4)
Brand impersonation on unranked subdomain
Credential harvesting form
Known malicious IP associated with the site
Eval() usage in JavaScript
Domain age information unavailable

Details

Page Title

Verify it's you

Scan Type

public

Domain Name Analysis

The domain name 'adbesta.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'adbesta'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://adbesta.edgeone.app/

Page Load Overview

2.52s
Total Load Time
455 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Text Length:249 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software73% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
73%
documentation technical
68%
adult content
54%
news media journalism
43%
government public service
39%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1101.33.10.10Frankfurt am Main, Hesse, Germany
137--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5A402196D286C60E0B09C31F5B936563D361FAB48CC3DEEC91E63D509C782F68A19ED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:VyWDB1GWpm1BhiFXGTGWzmZJXDiUiPyWDB1GWpm1BhiFXGTGWzmZJXDiUiWA:3NknNKGGWzm/XGpZNknNKGGWzm/XGp5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:451653:DHyC/I90jnQGJEi4CyYhaYAqBASILwiBMaACQAAMgAQDBZCADANLRCTKChQkoKjQmAIPaMhMhBj5BPAXoxjhTwCVOhxsQFoB

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:6fed2f39f3e3e1e1
Perceptual Hash:e199f2e4cc09b3b2
Difference Hash:989bdbc3674a4b0d
Wavelet Hash:4e6d2939f1e3e1c0
Color Hash:#87a7c5

Other Hashes

Crop Resistant:989bdbc3674a4b0d

Scan History

Scan history not available

Unable to load historical scan data