Security Scan Report: infocom2026.ieee-infocom.org

Submitted: Apr 29, 2026, 8:42:36 AMCompleted: Apr 29, 2026, 8:43:54 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is infocom2026.ieee-infocom.org and was registered NaN years ago.

Submitted URL: https://infocom2026.ieee-infocom.org/

AI Security Verdict

Low Risk

Confidence: 94%

1
Risk Score

Site appears legitimate with minimal risk; no malicious activity detected.

Safety Factors
Self‑branding matches domain (infocom2026.ieee‑infocom.org)
Established domain age with long registration history
No credential or payment forms
No malicious Indicators of Compromise or IDS alerts
No JavaScript malware detections
Domain age information unavailable

Details

Page Title

Request Rejected

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(91%)

Domain Information

The domain name 'infocom2026.ieee-infocom.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'infocom2026'. The second-level label 'ieee-infocom' is 12 characters long containing 7 vowels alongside 4 consonants, notching one hyphen. Segmentation suggests three words: ieee, info, com. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://infocom2026.ieee-infocom.org/

Page Load Overview

7.87s
Total Load Time
85
HTTP Requests
18
Domains
4.8 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:3,195 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical91% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
91%
technology software
56%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
853.212.227.190Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
851--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5D097EF8C4EA12AC6F23AC82C866AA8EC8B117073808D7129D415AB885032DCA030D7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxUO2GAv3X96HwzRx3G6QGI/Jr5XAQFU7G1d2nAhJcmGGO:kxgGAPkQzRxNQGIJ94KH2AhJcmGGO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:cb4f9c40910767e6eb8b8637633edbad

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:3fffffffffffffff
Perceptual Hash:87070f0f0f0f0f1f
Difference Hash:e000000000000000
Wavelet Hash:10f0f0f0f0f0f0f0
Color Hash:#a679d2

Other Hashes

Crop Resistant:e000000000000000

Scan History

Scan history not available

Unable to load historical scan data