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Security Scan Report: gitcdn.jeff-zhao2022.workers.dev

Submitted: Aug 16, 2026, 10:06:10 PMCompleted: Aug 16, 2026, 10:07:27 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is gitcdn.jeff-zhao2022.workers.dev and was registered NaN years ago.

Submitted URL: https://gitcdn.jeff-zhao2022.workers.dev/features/ai

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

The site impersonates GitHub without collecting credentials, but external malicious link matches and brand mismatch make it high‑risk.

Risk Factors
Brand impersonation on mismatched domain
External link Indicators of Compromise to known malicious GitHub URLs
Unranked hosting subdomain with unknown age
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 7 to 3
Domain age information unavailable

Details

Page Title

GitHub AI · AI built into every step of your workflow · GitHub

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'gitcdn.jeff-zhao2022.workers.dev' is registered and includes subdomain 'gitcdn.jeff-zhao2022'. The second-level label 'workers' is 7 characters long with two vowels and 5 consonants. Segmentation suggests 1 word: workers. Median word length comes out to 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gitcdn.jeff-zhao2022.workers.dev/features/ai

Page Load Overview

8.00s
Total Load Time
151
HTTP Requests
5
Domains
3.0 MB
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:6,016 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
50%
forum community discussion
46%

Detected Features

OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
51188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
50185.199.109.215United States
AS54113Fastly, Inc.
5013.33.187.25Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
1513--

Page Statistics

151
Requests
5
Unique Domains
3.1 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D194D9EAB0B0D73A069E57ABF0E15A40D3E3169AC396ADD5C01DC758C1C648CF6E3267

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:VwedOXM7yUREMl82xitp5P3pL98J4XyfBcrPpEAdh18/urrNFFLgU7jdX7HyOn4p:VweSM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:428565:dIFKBgA5KBh0GWEkDJEBwZDIIfIkxwFA8sMEwDE9U6AAgaoOoAb6JVgKOrywBAgRYVBEBiQgguQHgQyDY9AQyDBKSBQqD6Aj

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:f17c3c1800240018
Perceptual Hash:caccea636931c333
Difference Hash:23f0e1b151e90171
Wavelet Hash:e17f7f39003c003d
Color Hash:#406ebf

Other Hashes

Crop Resistant:23f0e1b151e90171

Scan History

Scan history not available

Unable to load historical scan data