Security Scan Report: account.collegeboard.org.edgekey.net

Submitted: Jan 2, 2026, 12:09:57 AMCompleted: Jan 2, 2026, 12:11:35 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is account.collegeboard.org.edgekey.net and was registered NaN years ago.

Submitted URL: https://account.collegeboard.org.edgekey.net

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Invalid URL

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

news media journalism

(49%)

Domain Information

You're looking at domain 'account.collegeboard.org.edgekey.net' on the network infrastructure generic top-level domain (.net) with subdomain 'account.collegeboard.org'. The second-level label 'edgekey' is 7 characters long holding three vowels versus 4 consonants. Breaking it apart gives 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://account.collegeboard.org.edgekey.net

Page Load Overview

0.34s
Total Load Time
2
HTTP Requests
1
Domains
0 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

news media journalism49% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
49%
healthcare medical
48%
technology software
47%
government public service
46%
documentation technical
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.212.214.209Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T102D097E70002D042CE3012C80CD32E37AAF172B89686DCC8B3203489EA8EDF088C3208

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxgdhSMmMh0PM4awL1hSMmM5Tz:kxj3pQR3pvzRxpqSdEZMSEZwREZMt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:170b1e6c3af648ab84bf8fa78e6d4ef8

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:#4097bf

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data