Security Scan Report: github.com

Redirected to: https://raw.githubusercontent.com/Cappricio-Securities/camjacking/refs/heads/main/camjacking.js

Submitted: Mar 16, 2026, 11:30:16 PMCompleted: Mar 16, 2026, 11:31:45 PMpubliccompleted
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Summary

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

Submitted URL: https://github.com/Cappricio-Securities/camjacking/raw/refs/heads/main/camjacking.js

Effective URL: https://raw.githubusercontent.com/Cappricio-Securities/camjacking/refs/heads/main/camjacking.jsRedirected

The Cisco Umbrella rank of the primary domain is #1,803 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The file is a legitimate open‑source tool hosted on GitHub with no malicious indicators.

Safety Factors
Hosted on reputable platform (GitHub/RawGitHubusercontent)
Open‑source project with clear author attribution
No network‑level IDS alerts
No cross‑origin credential submission
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

education learning

(67%)

Domain Information

Within the commercial generic top-level domain (.com), 'github.com' is registered while skipping any subdomain. The registrable portion 'github' spans 6 characters split between 2 vowels and 4 consonants. Word splitting yields three words: g, it, hub. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://github.com/Cappricio-Securities/camjacking/raw/refs/heads/main/camjacking.js

Page Load Overview

0.52s
Total Load Time
2
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:2,573 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning67% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
67%
documentation technical
66%
technology software
65%
phishing scam
63%
cryptocurrency blockchain
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1140.82.121.4Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
1185.199.111.133United States
AS54113Fastly, Inc.
22--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16951951BCEF822380FE1C5BD5B5251B2E07D856A311A0A74B4AF81886F19939063DF63

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:yJCMx4HHzhDaS0FiWcz49FzZVxn5gbZo8dMeU5dJx7X4wV9f9wFSmCuFjJTiMsLI:AC84nzJB0HzrhCe8dMeU7Lr4q9Skm1zj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2770:IACBIAQCAACAAQAABCAIAQQAQQEAQAAATGCAACYAAgEIiUhACAgEBBmAARCIAIBQAAIAACQAgsAAAAEIAQAAAAICAAgAEAAI

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:3f0f0f3f7f3f3f3f
Perceptual Hash:853ffec0c08fcce0
Difference Hash:6878f8e0c0e0e0b0
Wavelet Hash:0e06061e3e3e3f1f
Color Hash:#e0776c

Other Hashes

Crop Resistant:6878f8e0c0e0e0b0

Scan History

Scan history not available

Unable to load historical scan data