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Security Scan Report: api.sfnix.net

Redirected to: https://app.realforce.com/api-docs

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Submitted: Dec 3, 2025, 5:49:38 PMCompleted: Dec 3, 2025, 5:52:16 PMpubliccompleted
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Summary

This website contacted 56 IPs in 2 countries across 11 domains to perform 27 HTTP transactions. The main domain is app.realforce.com and was registered NaN years ago.

Submitted URL: https://api.sfnix.net/

Effective URL: https://app.realforce.com/api-docsRedirected

The Cisco Umbrella rank of the primary domain is #122,425 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age (over 4 years)
No malicious Indicators of Compromise
No credential collection forms
Domain age information unavailable

Details

Page Title

Realforce

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(42%)

Domain Information

The domain name 'api.sfnix.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'api'. Its registrable label 'sfnix' stretches across 5 characters split between 1 vowel and four consonants. Word splitting yields 2 words: sf, nix. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.sfnix.net/

Page Load Overview

1.66s
Total Load Time
27
HTTP Requests
11
Domains
894 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
Text Length:9,561 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain42% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
42%
technology software
38%
documentation technical
32%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2718.66.147.115United States
AS16509AMAZON-02
83.161.82.14United States
AS16509AMAZON-02
5146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113FASTLY
4104.21.58.14United States
AS13335CLOUDFLARENET
318.245.46.6United States
AS16509AMAZON-02
2216.239.32.36United States
AS15169GOOGLE
165.9.175.114United States
AS16509AMAZON-02
118.66.102.106United States
AS16509AMAZON-02
154.244.186.174Boardman, Oregon, United States
AS16509AMAZON-02
1172.217.18.8United States
AS15169GOOGLE
2756--

Detected Technologies3

Amazon Web Services
50%
Amazon CloudFront
40%
AWS WAF
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T105D4B6F0B2161659AE1B0CBCA79CB898E25FF25EDE4568E3773983A113D7CE4B517008

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6QX5fZpDNyp2TEqEkEdEkEyEvEKEDEiE6EJEgELwZpmiZpAK1oZpPZpf5q5V5FZB:lJj7r6hhgbAPjkJMME8i1+WWoAq8smJn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:613563:LCAD4BBirAJDPG5YFISUgAwiHLbY0SI4r1JKCZWUBlCZhkaEIkSoGg/uIgEQADAUJRdgCDAqLAlAHsBBxFgVg3jIYcAaOQOQ

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:0000fffffffffff1
Perceptual Hash:e22d2a1b691ee695
Difference Hash:834b44e5878dcdc7
Wavelet Hash:0000f7f1f5fcf4e0
Color Hash:#361f93

Other Hashes

Crop Resistant:a2888e94a29ab2e0,4167e5859bcdc9c5,00038b998383cb00

Scan History

Scan history not available

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