Security Scan Report: help.sap.com.edgekey.net

Submitted: Feb 27, 2026, 1:23:56 AMCompleted: Feb 27, 2026, 1:25:37 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 help.sap.com.edgekey.net and was registered NaN years ago.

Submitted URL: https://help.sap.com.edgekey.net

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns; appears to be a normal error page on a legitimate SAP CDN domain.

Safety Factors
Well‑established domain (registered 2001‑10‑04)
Standard hosting with no redirects
No suspicious scripts or hidden fields
Page title indicates an invalid URL error page
Domain age information unavailable

Details

Page Title

Invalid URL

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

technology software

(50%)

Domain Information

The domain 'help.sap.com.edgekey.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'help.sap.com'. The second-level label 'edgekey' is 7 characters long holding 3 vowels versus four consonants. It segments into two words: edge, key. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://help.sap.com.edgekey.net

Page Load Overview

0.17s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:167 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
50%
documentation technical
49%
news media journalism
46%
healthcare medical
45%
government public service
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.197.133.166Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5D0A7FB7592D1D79DB214C82CD37A639DE722359A40DED8970720A8E99CFF488C3051

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxg1O4cJM4awLtO4cRx4z:kxj3pQR3pvzRxpqS1ORaZwROR3M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:7f0de09681ae34adca33011a5b1f4766

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:3f3fffffffffffff
Perceptual Hash:8303030303e3ffff
Difference Hash:c0c0000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#6c8de0

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data