Security Scan Report: github.com

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Submitted: Sep 30, 2025, 10:11:08 AMCompleted: Sep 30, 2025, 10:11:47 AMpubliccompleted
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Summary

This website contacted 26 IPs in 2 countries across 2 domains to perform 50 HTTP transactions. The main domain is github.com and was registered NaN years ago.

Submitted URL: https://github.com/

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

The site mimics GitHub branding but lacks reputable ranking, indicating high‑risk phishing.

Risk Factors
Unranked Cisco Umbrella reputation for a major brand domain
Brand impersonation on a domain not recognized as official
Absence of typical legitimacy signals (top‑10k ranking, known hosting reputation)
Domain age information unavailable

Details

Page Title

GitHub · Build and ship software on a single, collaborative platform · GitHub

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Screenshot

Security scan screenshot of https://github.com/

Page Load Overview

1.93s
Total Load Time
50
HTTP Requests
2
Domains
945 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:8,993 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
82%
corporate business
54%
documentation technical
53%
education learning
27%

Detected Features

Search
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2513.33.187.25New York, New York, United States
AS16509AMAZON-02
1140.82.121.6Frankfurt am Main, Hesse, Germany
AS36459GITHUB
113.33.187.102New York, New York, United States
AS16509AMAZON-02
118.66.122.79United States
AS16509AMAZON-02
1185.199.109.154United States
AS54113FASTLY
1185.199.110.154United States
AS54113FASTLY
113.33.187.16New York, New York, United States
AS16509AMAZON-02
1140.82.121.3Frankfurt am Main, Hesse, Germany
AS36459GITHUB
113.33.187.2New York, New York, United States
AS16509AMAZON-02
1185.199.108.154Hoover, Alabama, United States
AS54113FASTLY
16726--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126845CF5B1A4E3BD408743EFF6714824F7A614DAE316D885C66ECBE442C38CCE662586

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:BmPPoJXq9WAyxxb4bbPFI7LiCND3y2dSJlRfh9a0YNBzQdYpNH5gK8uMZFfIZdnP:Bm3+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:405702:VJNMQMuQDwOiECExjniAEmggBoqxqrEAIBTpxQhkFYNoaU4kyIACIACoHUMBAlaIBVOHCDMizKgGGQ22OY4ORgNCYj6wQKnA

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:ff003c3810007e5e
Perceptual Hash:cecab1f0e4c6b192
Difference Hash:96617961601ffc9a
Wavelet Hash:ff183c3800007fff
Color Hash:#e06ccc

Scan History

Scan history not available

Unable to load historical scan data