Security Report: carlosjosez1981-collab.github.io - Analysis

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/8a79160d-7f21-4fd7-b01d-15c6837c4f4f Domain and IP registration (RDAP)/api/v1/rdap/8a79160d-7f21-4fd7-b01d-15c6837c4f4fHow often this domain was scanned/api/v1/domain/stats/carlosjosez1981-collab.github.io Scan history for this domain/api/v1/domain/history/carlosjosez1981-collab.github.io?limit=15

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is github.io and was registered 13 years ago.

Submitted URL: https://carlosjosez1981-collab.github.io/verify-google/

AI Security Verdict

Confirmed Scam

Confidence: 95%

Risk Score

Fake Google sign-in page on a GitHub Pages subdomain that impersonates Google and harvests email/password credentials. Do not enter any credentials; report the page.

Risk Factors (5)

Brand impersonation of Google on a non-Google domain (github.io subdomain)

Credential-harvesting login form (email + password) presented as Google sign-in

Free shared-hosting subdomain with unknown actual page creation date

Unranked domain claiming to be a major brand

Deceptive path name '/verify-google/' designed to look like an account verification flow

Domain age information unavailable

Details

Page Title

Scan Type

public

Domain Name Analysis

The domain 'carlosjosez1981-collab.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'carlosjosez1981-collab'. The second-level label 'github' is 6 characters long split between 2 vowels and 4 consonants. It segments into three words: g, it, hub. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

G Sign in Use your Google Account Email or phone Enter your email Password Enter your password ® Create account + Forgot password?

Page Load Overview

0.29s

Total Load Time

8 KB

Total Size

Language Analysis

Primary Language

🇺🇸English

Code: en

Confidence:80%

Script:Latin

Direction:ltr

Detection Details

HTML Lang Attribute:en

Text Length:123 chars

Detector Agreement:100%

Website Classification

Primary Category

social media network49% confidence

Type: static

Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network

49%

technology software

34%

news media journalism

29%

finance banking

29%

Detected Features

No structural features detected

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
2	185.199.110.153Fastly · CDN	United States	AS54113Fastly, Inc.
1	185.199.109.153Fastly · CDN	United States	AS54113Fastly, Inc.
2	2	-	-

Detected Technologies4

40%

40%

40%

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129E182A725B304127903D26837E65B173529C003D906C9643FACA35CDF86FCA9D937AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:vK53qZ1uHFkx30E+8rxyMdEoUnrdy1j7JuFU1+cLTD/yaogpQHyf:T8FoeUQmD/ypgQHyf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7265:DDQROEZjEoKfgHSyUVwMCIAsySADICRUAIqIlASUQQBCGIKKUMgAggE40sA4QiAqKQFsADCpEgwIFBGUQi0EPwDpRSOZOBAA

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:00003c3c18100000

Perceptual Hash:cc9b336499936699

Difference Hash:0010223a32250800

Wavelet Hash:303c3c3c3c343c00

Color Hash:070000001c0

Other Hashes

Crop Resistant:0010223a32250800

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: carlosjosez1981-collab.github.io