Security Scan Report: wwwadobeza.github.io

Submitted: Aug 20, 2026, 2:45:33 AMCompleted: Aug 20, 2026, 2:48:46 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 (5)
Brand impersonation on unrelated domain
Login form collecting credentials
Unknown subdomain creation date
External network request to Telegram API
Unranked domain reputation
Domain age information unavailable

Details

Page Title

Adobe.com

Scan Type

public

Domain Name Analysis

The domain name 'wwwadobeza.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'wwwadobeza'. Its registrable label 'github' stretches across 6 characters containing two vowels alongside 4 consonants. Segmentation suggests 3 words: g, it, hub. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.31s
Total Load Time
557 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
545.43.142.8United Kingdom
AS16276OVH SAS
4185.199.111.153United States
AS54113Fastly, Inc.
451.124.12.35Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
4104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
174--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172D1B5CB2EE508355253D0917167A7097261D0078A0AE96D3AFC82ACAF99FD795333CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nYCkRUhajdj7sv46OLtV2555AnwLnipTxUXY5ahGiCifyV2DWdeimiAn3DtiWJIW:vBSV27qnXsGiCiKV2KdeimiMhAVXB8j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6619:gRgAJBAB0B69iWCBIAIQcZCQBGCQIEthGIWAAMECAFApJADAADEAQAiCBiVNgVAYYRBKmEQCCAJwEWgCACVvazNAgsAkIGBg

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:1c9c1c1c1c1c1c1c
Perceptual Hash:9aff67f665206500
Difference Hash:393931b1b9b9b9b9
Wavelet Hash:ff9c9c1c1c1c1c1c
Color Hash:#78653a

Scan History

Scan history not available

Unable to load historical scan data