Security Scan Report: cs.yellowblue.io

Submitted: Jan 19, 2026, 6:36:47 PMCompleted: Jan 19, 2026, 6:38:28 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is cs.yellowblue.io and was registered NaN years ago.

Submitted URL: https://cs.yellowblue.io

The Cisco Umbrella rank of the primary domain is #869 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>5 years)
High Cisco Umbrella ranking (top 1k)
No malicious Indicators of Compromise matches
No forms or data‑collection fields present
Page returns 404, indicating no malicious payload
Domain age information unavailable

Details

Page Title

cs.yellowblue.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

The domain name 'cs.yellowblue.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'cs'. The second-level label 'yellowblue' is 10 characters long holding 4 vowels versus 6 consonants. It segments into 2 words: yellow, blue. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cs.yellowblue.io

Page Load Overview

13.18s
Total Load Time
1
HTTP Requests
1
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:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
53%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.207.140.152Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4C080BAC411450D6B3015F8CA8675545E08530DD1311F5075D4E195E544DA784432DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYfpEZuUeZ2Aoqa:qzxV/5VHHoB96D3ne1k9YC5eZI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c1359b5d48c30abd84bc357b2b9f9c8c

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:7fffffffffffffff
Perceptual Hash:87070f0f0f0f0f1f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#87a3c5

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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