Security Scan Report: wwwadobeza.github.io

Submitted: Aug 20, 2026, 2:45:34 AMCompleted: Aug 20, 2026, 2:48:42 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site impersonates Adobe and harvests login credentials on an unknown‑age github.io subdomain, indicating a high‑risk phishing page.

Risk Factors (4)
Brand impersonation of Adobe on non‑official domain
Credential collection form
Cross‑origin network request to Telegram API
Unranked / unknown‑age subdomain on shared hosting platform
Domain age information unavailable

Details

Page Title

Adobe.com

Scan Type

public

Domain Name Analysis

Domain 'wwwadobeza.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'wwwadobeza'. The second-level label 'github' is 6 characters long holding 2 vowels versus 4 consonants. Segmentation suggests three words: g, it, hub. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wwwadobeza.github.io/Proof

Page Load Overview

2.99s
Total Load Time
576 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:388 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
60%
documentation technical
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
451.124.12.35Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
4185.199.111.153United States
AS54113Fastly, Inc.
445.43.142.2United Kingdom
AS16276OVH SAS
4104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1D1A4872EE108355253C0953167A7097261C0078A0AE9693AFC82ACAF95FD795333DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nQCkRUhajdj7sv46OLtV2555AnwLnUpTxUXY5ahGiCifyV2DYdeimiAn3DtiWJIW:XBSV27qnZsGiCiKV2cdeimiMhAVXB8j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6655:gKANAACQDJUQQcSNAIEBABAZ20VXICQBCk9QAIkEQG0ASIyKABCQBBoAETUYBAApaugOYPoRMglhEwAAqBsKAILIESECB6Ao

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:cfefcfe7c7c7c7c7
Perceptual Hash:b1993333cc3b9833
Difference Hash:1a1a1a0e1e1e0e0e
Wavelet Hash:c3c3c3c3c3c3c3c3
Color Hash:#539aac

Other Hashes

Crop Resistant:1a1a1a0e1e1e0e0e

Scan History

Scan history not available

Unable to load historical scan data