Security Scan Report: 0365-microsoft.gitbook.io

Redirected to:
https://0365-microsoft.gitbook.io/0365_microsoft-docs
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 5 domains to perform 44 HTTP transactions. The main domain is gitbook.io and was registered 12 years ago.

Submitted URL: https://0365-microsoft.gitbook.io/

Effective URL:
https://0365-microsoft.gitbook.io/0365_microsoft-docs
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

A GitBook page posing as 'Microsoft Support' with a click-to-continue lure and two HIGH ET PHISHING IDS alerts. No form in the capture, but the impersonation and phishing signatures put it at HIGH_RISK.

Risk Factors (4)
Impersonation of Microsoft's support/sign-in brand on a non-Microsoft domain (gitbook.io)
Two HIGH-severity ET PHISHING (Phishing Landing) network IDS alerts
Urgency/continuation lure text prompting the visitor to proceed and 'input details'
No legitimacy signals beyond GitBook platform hosting; no real Microsoft affiliation
Domain age information unavailable

Details

Page Title

Microsoft Support | 0365_Microsoft

Scan Type

public

Domain Name Analysis

You're looking at domain '0365-microsoft.gitbook.io' on the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain '0365-microsoft'. Count 7 characters in 'gitbook' with three vowels and four consonants. It segments into three words: g, it, book. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

QO 0365_Microsoft Microsoft Support @ Powered by GitBook Q Search © Ask Microsoft Support <H Microsoft Please note that inputting incorrect details may affect the process. Proceed to the next pag...

Page Load Overview

7.38s
Total Load Time
955 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:713 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12172.64.147.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8104.18.41.89Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8104.18.40.47Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8172.64.146.167Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
445--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5642A04A105F218ED72CF68437A7D34D04EA66796F0903CF7DCDAA197820BE975AE9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0mU5IuKLVfxU3Gr1s5V43IBnqA/7YJ7FmU2W57vGPiFH4jh+KzachtPM6L63:0mU5IuKLVfxX65V6AltPM6L63

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:324628:jhBKwaAUUKIUABigHqFgIzwKSHUgaCQgNMoikAqJAApBgqCJAVEAIQDtKrIhqAJBAKDjqBGoCBwhlLJBKOlUIRAxQCsAQQJ5

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:8fc7e7e3e7ffffbf
Perceptual Hash:b636999999898ec6
Difference Hash:500c2d0e0c000050
Wavelet Hash:00c7e4c0c0fcfc8c
Color Hash:N/A

Other Hashes

Crop Resistant:500c2d0e0c000050

Scan History

Scan history not available

Unable to load historical scan data