Security Scan Report: go-api-dot-refer-io.appspot.com

Submitted: Dec 30, 2025, 9:03:45 AMCompleted: Dec 30, 2025, 9:05:33 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 go-api-dot-refer-io.appspot.com and was registered NaN years ago.

Submitted URL: https://go-api-dot-refer-io.appspot.com

The Cisco Umbrella rank of the primary domain is #675,990 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
Well‑established domain age
Absence of malicious Indicators of Compromise
No credential or payment forms present
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'go-api-dot-refer-io.appspot.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'go-api-dot-refer-io'. The registrable portion 'appspot' spans 7 characters holding 2 vowels versus five consonants. Tokenizing the label suggests two words: app, spot. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://go-api-dot-refer-io.appspot.com

Page Load Overview

0.61s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:18 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1172.217.18.20United States
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4C080BAC411450D6B3015F8CA8675545E08530DD1311F5075D4E195E544DA784432DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYfpEZuUeZ2Aoqa:qzxV/5VHHoB96D3ne1k9YC5eZI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c1359b5d48c30abd84bc357b2b9f9c8c

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:7fffffffffffffff
Perceptual Hash:87070f0f0f0f0f1f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#2dd0d2

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data