ScanMalware.com

Security Scan Report: bore.pub

Redirected to: https://github.com/ekzhang/bore

Submitted: Sep 29, 2025, 11:38:28 AMCompleted: Sep 29, 2025, 11:39:44 AMpubliccompleted
Loading additional data...

Summary

This website contacted 20 IPs in 2 countries across 3 domains to perform 50 HTTP transactions. The main domain is github.com.

Submitted URL: http://bore.pub/

Effective URL: https://github.com/ekzhang/boreRedirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

The site is a confirmed phishing scam masquerading as GitHub using a malicious short domain.

Risk Factors
Primary domain Indicators of Compromise present
Multiple primary domain Indicators of Compromise
Brand impersonation/typosquatting of GitHub
Unranked domain with suspicious reputation
Port proxy functionality commonly used for malicious tunneling
Domain age information unavailable

Details

Page Title

GitHub - ekzhang/bore: 🕳 bore is a simple CLI tool for making tunnels to localhost

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Screenshot

Security scan screenshot of http://bore.pub/

Page Load Overview

28.41s
Total Load Time
50
HTTP Requests
3
Domains
459 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:10,750 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
77%
corporate business
52%
documentation technical
44%
news/blog
20%

Detected Features

Search
Articles
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12185.199.110.154United States
AS54113FASTLY
2185.199.110.133United States
AS54113FASTLY
2185.199.108.133United States
AS54113FASTLY
2140.82.112.22United States
AS36459GITHUB
2140.82.121.5Frankfurt am Main, Hesse, Germany
AS36459GITHUB
2185.199.108.154Hoover, Alabama, United States
AS54113FASTLY
2185.199.109.154United States
AS54113FASTLY
2159.223.171.199North Bergen, New Jersey, United States
AS14061DIGITALOCEAN-ASN
2185.199.111.133United States
AS54113FASTLY
2185.199.109.133United States
AS54113FASTLY
16720--

Detected Technologies2

OpenSearch
100%
Open-Graph-Protocolvobject
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12774D8B0A17C217D115B568AF670AB18A32BF31BF75940E5B97F93B487D3C80EA43198

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:g/scaQvwWJM6wVdJQJLLBHkk9NL0DyWHbLvZJT3CqbMrhryf65NRPaCieMjAkvC6:UscaQvwWJM6wVdJQJLLBHkk9NL0DyWH/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:365642:yDBPDAJTBOBFApFmORyxKgqcACYCAWQZBiSymMEADJikSGKGLSBBmsEQSygRFkAGogSyHhKxMJBAthgApAjAEQQChWKYYleE

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:00fffbffffffffff
Perceptual Hash:ad621e4333633a6d
Difference Hash:c924274b5656322b
Wavelet Hash:0012a3a3ababfb9b
Color Hash:#b72dd2

Other Hashes

Crop Resistant:c924274b5656322b,0185754dcd758501

Scan History

Scan history not available

Unable to load historical scan data