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Security Scan Report: icc2026.ieee-icc.org

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Submitted: Oct 4, 2025, 11:27:34 PMCompleted: Oct 4, 2025, 11:29:06 PMpubliccompleted
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Summary

This website contacted 157 IPs in 2 countries across 30 domains to perform 108 HTTP transactions. The main domain is icc2026.ieee-icc.org and was registered NaN years ago.

Submitted URL: https://icc2026.ieee-icc.org/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate IEEE conference page with minimal risk.

Safety Factors
Long‑standing domain registration
No malicious Indicators of Compromise
No credential or payment collection fields
Official‑sounding conference details and dates
Domain age information unavailable

Details

Page Title

IEEE International Conference on Communications | 24–28 May 2026 // Glasgow, Scotland, UK

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(63%)

Domain Information

You're looking at domain 'icc2026.ieee-icc.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'icc2026'. The second-level label 'ieee-icc' is 8 characters long holding five vowels versus two consonants, along with 1 hyphen. Splitting it apart reveals 2 words: ieee, icc. The median word length lands at 3.5 characters. Most frequently, 'eee' shows up in English. Usage also turns up in Catalan and Indonesian contexts.

Screenshot

Security scan screenshot of https://icc2026.ieee-icc.org/

Page Load Overview

40.05s
Total Load Time
108
HTTP Requests
30
Domains
5.1 MB
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:3,818 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical63% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
63%
forum community discussion
55%
education learning
41%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
108142.250.184.225United States
AS15169GOOGLE
03.212.227.190Ashburn, Virginia, United States
AS14618AMAZON-AES
0104.26.15.119United States
AS13335CLOUDFLARENET
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0216.58.206.72United States
AS15169GOOGLE
0142.250.185.170United States
AS15169GOOGLE
0142.250.186.35United States
AS15169GOOGLE
0142.250.184.206United States
AS15169GOOGLE
0142.250.185.110United States
AS15169GOOGLE
0142.250.186.130United States
AS15169GOOGLE
108157--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15003E766792146631303CBC6F031F209D0C3E197EF658980F2ED1E747BD9E696943ABA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:t3tA1HhVdjrscIJV4POmU/vKXP/N06dhRXTL4YJsRQZ6RpwQZ6RM:3A1B7jrscIwRU6X26dhRXn4YmRQZopwg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41216:EQgT+YWVkyAAAZDDBRYBTACnEMDMx6EIAgJNrpQMVwicQcoQjQ+yUxEISiRRGlQARKCAFooFoSaQZPILITFhYAIAhSosEpAE

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:3c080081dbfffffb
Perceptual Hash:e912c3cb6c65c393
Difference Hash:d0f09e33331b2b23
Wavelet Hash:38000080dbfbfffb
Color Hash:#b5e06c

Other Hashes

Crop Resistant:d0f09e33331b2b23,4941a9e9290969c4,29291b0b6b52f1e0

Scan History

Scan history not available

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