Security Scan Report: accept.authorize.net

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Submitted: May 14, 2026, 4:19:19 PMCompleted: May 14, 2026, 4:21:03 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is accept.authorize.net and was registered NaN years ago.

Submitted URL: https://accept.authorize.net

The Cisco Umbrella rank of the primary domain is #24,582 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #24,582.

Safety Factors
Well-established domain (ranked #24,582)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

Error

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

documentation technical

(28%)

Domain Information

The domain name 'accept.authorize.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'accept'. The core label 'authorize' covers 9 characters with 5 vowels and 4 consonants. Tokenizing the label suggests one word: authorize. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://accept.authorize.net

Page Load Overview

0.33s
Total Load Time
3
HTTP Requests
2
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:150 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%
news media journalism
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.18.13.54United States
AS13335Cloudflare, Inc.
1104.18.10.25United States
AS13335Cloudflare, Inc.
32--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156F0C011C08C5F6A96001240B891759AA50F8F1663A2C1D9EA93C12A62CA198DC1B0AF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hnMQowS2xH2nNSL0PAssoCxIuyLYIZnl4EHjWXdfH+ROWDpkvQWOBu:hMV2AnNSLaAcZ1Dl4kjWXFHu31kZOBu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:541:QAAAAQAAAAAAAAAAAIAAAAAAIAAAAAAAAAAAIAAQgAAAAAAAAAAAAAAAAAAAAAAACAAAAAAAAIAAAAQAAAAAAAAAAAAAAAAA

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:00ffffffffffffff
Perceptual Hash:99191919191b3f3f
Difference Hash:9800000000000000
Wavelet Hash:00ffcfcf00000000
Color Hash:#e0756c

Other Hashes

Crop Resistant:9800000000000000

Scan History

Scan history not available

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