Security Scan Report: flackr.github.io

Submitted: Nov 23, 2025, 10:34:46 PMCompleted: Nov 23, 2025, 10:37:12 PMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is flackr.github.io and was registered NaN years ago.

Submitted URL: https://flackr.github.io/

The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Typo‑squatting site impersonating GitHub; treat as high‑risk phishing.

Risk Factors
Brand impersonation on a low‑ranking domain
Low Cisco Umbrella ranking for a well‑known brand
Domain does not belong to the legitimate brand (GitHub)
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

Site not found · GitHub Pages

Scan Type

public

Language

🇺🇸

English

(56% confidence)

Category

documentation technical

(38%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'flackr.github.io' is registered with subdomain 'flackr'. The registrable portion 'github' spans 6 characters containing two vowels alongside four consonants. It segments into 3 words: g, it, hub. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flackr.github.io/

Page Load Overview

0.17s
Total Load Time
1
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:56%
Script Type:Latin
Text Length:250 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical38% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.199.108.153United States
AS54113FASTLY
1185.199.110.153United States
AS54113FASTLY
02606:50c0:8002::153United States
AS54113FASTLY
02606:50c0:8001::153United States
AS54113FASTLY
0185.199.111.153United States
AS54113FASTLY
02606:50c0:8000::153United States
AS54113FASTLY
02606:50c0:8003::153United States
AS54113FASTLY
0185.199.109.153San Francisco, California, United States
AS54113FASTLY
18--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F126D7E19E93308D8028A1539B267993D75480F9E866E6FB5AD0351CF8FE10E1637CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:95wnb1iC9OA9XXMa9kukrALQDUnulGVopLAGCALQD6vnglET31iCLL3Z:9eB8H3DUulGmmv3D6vglETliCfJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9086:gY2CAICbgAHCgZCAjjjkITRBHoYDBBQVXBpgGOGCokAiGJFKQQ8QpKl8HUCcCFzEAgKQlRYBqAIbAQAAPyElKAEoABzQyENq

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:e7e7e7ffffffffff
Perceptual Hash:b33326cecccccc31
Difference Hash:080c0c0000000000
Wavelet Hash:270327270f0f0f0f
Color Hash:#78753a

Other Hashes

Crop Resistant:080c0c0000000000

Scan History

Scan history not available

Unable to load historical scan data