Security Scan Report: obkio.com

Submitted: Dec 19, 2025, 8:34:36 PMCompleted: Dec 19, 2025, 8:34:38 PMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is obkio.com and was registered NaN years ago.

Submitted URL: https://obkio.com/blog/how-to-detect-microsoft-teams-outages/

AI Security Verdict

Low Risk

Confidence: 60%

2
Risk Score

Legitimate informational blog; low risk despite brand mention on unranked domain.

Risk Factors
Brand name (Microsoft Teams) mentioned on an unranked domain (obkio.com)
Safety Factors
Established domain age reduces suspicion
Absence of login or payment fields
No malicious Indicators of Compromise detected
Content appears to be a legitimate blog post
Domain age information unavailable

Details

Page Title

How to Detect Microsoft Teams Outages: Is MS Teams Down? - Obkio

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain name 'obkio.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'obkio' covers 5 characters split between three vowels and two consonants. Word splitting yields two words: ob, kio. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://obkio.com/blog/how-to-detect-microsoft-teams-outages/

Page Load Overview

0.35s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:54,830 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
documentation technical
30%
education learning
27%
news/blog
20%

Detected Features

Articles
OG: website
Schema.org

Detected Technologies3

JQueryv3.5.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D924B312D4E21133039361E5BB652B16BF5AC24BA702AD56B2BC47D43FC3F9ACE27059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:SNScwqEmc8bXzYqya3v0ejX3DYs4YwAS/38k4zogT7TdWcwA8OTyPKixZDVkzx32:KE58bX0Ba393cywAYXQx3LGC0rt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:228415:GoUhNuD/FIQGACccBVAgBiHXzFAC4CADIGAk6NDwdIYJhSbrjMAOQY/0ZiQCgkEIAhqWdIOQxBQOYGTi/QgoFUAMIgrEwA1C

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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