Security Scan Report: adobe-review.github.io

Submitted: Jul 31, 2026, 12:45:32 PMCompleted: Jul 31, 2026, 12:48:17 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Page mimics Rackspace login, hosts a credential‑stealing form on an unknown‑age GitHub Pages subdomain and is linked to a known malicious IP.

Risk Factors (4)
Credential harvesting form on untrusted subdomain
Impersonation of a well‑known brand (Rackspace) on unrelated domain
Threat‑intel match to known malicious IP
Unknown subdomain age on a public hosting platform
Domain age information unavailable

Details

Page Title

Rackspace Webmail: Hosted Email for Business

Scan Type

public

Domain Name Analysis

The domain name 'adobe-review.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'adobe-review'. The second-level label 'github' is 6 characters long holding 2 vowels versus 4 consonants. Breaking it apart gives three words: g, it, hub. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://adobe-review.github.io/sign/

Page Load Overview

5.74s
Total Load Time
43 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:206 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical81% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
81%
technology software
57%
corporate business
42%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3185.199.110.153United States
AS54113Fastly, Inc.
1172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1150.171.109.51Azure · CLOUDUnited States
AS8075Microsoft Corporation
53--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T189A2526E25E325A43D13E16DA7A7A3043127F00B640ACC267FDC934C9F49B9D95A27DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3xNTE04GqWoe8UQr6Orj0k19ZGgkesFc14:3xhE04ggkesFcO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23169:CBNkxKHBJAJdCEBFkbYs4EyA+MQJFEmgIADWII7SdAUZEXAICwIUwugaYA+CQGIiEUUEZEkW8BAqyIrCoVlgMxAEygKhQcDZ

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:c3c3ffffe3f3ffff
Perceptual Hash:e5393964653964c7
Difference Hash:9616617946667169
Wavelet Hash:003c3c3ce0f0fcfc
Color Hash:#6b3a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data