Security Scan Report: services27.ieee.org

Submitted: Mar 3, 2026, 7:21:34 PMCompleted: Mar 3, 2026, 7:23:11 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is services27.ieee.org and was registered NaN years ago.

Submitted URL: https://services27.ieee.org

The Cisco Umbrella rank of the primary domain is #13,799 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Request Rejected

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(51%)

Domain Information

The domain 'services27.ieee.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'services27'. Count 4 characters in 'ieee' with four vowels and 0 consonants. Tokenizing the label suggests one word: ieee. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://services27.ieee.org

Page Load Overview

3.79s
Total Load Time
5
HTTP Requests
1
Domains
208 KB
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-US
Text Length:90 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical51% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
51%
technology software
47%
government public service
35%
cryptocurrency blockchain
27%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
534.231.127.249Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
51--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9D097EF8C8EA12A86E232C81C527BA8EC8B247037808C7129D0116AC40033DCA130E3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxUO2GAv3X96HwzRx3G6QGI/Jr5XAQFU7GUoeknAhJcmGGO:kxgGAPkQzRxNQGIJ94KhekAhJcmGGO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:5615464d9af41a701faa1e4bb6ff58d0

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:00c0000000000000
Color Hash:#93271f

Other Hashes

Crop Resistant:e000000000000000

Scan History

Scan history not available

Unable to load historical scan data