ScanMalware.com

Security Scan Report: sugar-0007.github.io

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/32505f4e-9781-4c71-b942-69605f7584afDomain and IP registration (RDAP)/api/v1/rdap/32505f4e-9781-4c71-b942-69605f7584afHow often this domain was scanned/api/v1/domain/stats/sugar-0007.github.ioScan history for this domain/api/v1/domain/history/sugar-0007.github.io?limit=15
This website contacted 7 IPs in 1 country across 3 domains to perform 8 HTTP transactions. The main domain is github.io and was registered 13 years ago.

Submitted URL: https://sugar-0007.github.io/onedrive-docu/?err=FVJNIS5TYKX8QBRMLNG&dispatch=c10&id=86Ab85B0A64A6A13c77742653a8205

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Google Safe Browsing flags this github.io page for social engineering, and it presents a bare email/password 'MAIL CENTER' sign-in under a OneDrive-style document lure — a textbook credential phishing page. Do not enter credentials.

Risk Factors (5)
Google Safe Browsing social engineering / phishing detection (2 instances)
Login form collecting email and password on free shared hosting
Generic 'MAIL CENTER' login page with no branding, ownership or privacy information
Deceptive path and query parameters imitating a OneDrive-hosted document
Unranked domain on a platform where anyone can publish instantly
Domain age information unavailable

Details

Page Title

Login V2

Scan Type

public

Domain Name Analysis

The domain 'sugar-0007.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'sugar-0007'. Its registrable label 'github' stretches across 6 characters split between two vowels and four consonants. Tokenizing the label suggests 3 words: g, it, hub. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sugar-0007.github.io/onedrive-docu/?err=FVJNIS5TYKX8QBRMLNG&dispatch=c10&id=86Ab85B0A64A6A13c77742653a8205

Page Load Overview

1.45s
Total Load Time
208 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:28 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.199.109.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
87--

Detected Technologies11

PasswordField
100%
JQueryv3.6.0
100%
Cloudflare
50%
Bootstrapv4.5.3
50%
Varnish
40%
HSTS
40%
GitHub Pages
40%
Fastly
40%
jsDelivr
20%
cdnjs
20%
Axios
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CBD3B951EF17201A824EDFA3F4A2A6B4FE545443C053ADD7AC723825CE876AC0B7A53D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Ax4IE1uadFQuJZtd7q2ux4Dx49iZsEgMO57:AxYTRJZ7Puxsx8iZuMO57

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:136252:FlUigIgQxJAIwCaNhDAgNchIEfPARCAwSSQIAIGar1BMCdgAMkICYTC1EULxBARCgEAUf0RiAy2oVDARAIBhAYBNWgFBSHqB

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:ffffe7ffe7e7ffff
Perceptual Hash:b398cc6699996666
Difference Hash:00080c000c0c0008
Wavelet Hash:3c2424242727273f
Color Hash:N/A

Other Hashes

Crop Resistant:00080c000c0c0008

Scan History

Scan history not available

Unable to load historical scan data