ScanMalware.com

Security Scan Report: flackr.github.io

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/d04a6ff9-17b7-44b7-8ce1-327077036b8fDomain and IP registration (RDAP)/api/v1/rdap/d04a6ff9-17b7-44b7-8ce1-327077036b8fHow often this domain was scanned/api/v1/domain/stats/flackr.github.ioScan history for this domain/api/v1/domain/history/flackr.github.io?limit=15
This website contacted 8 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is github.io and was registered 13 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 (3)
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

Page Title

Site not found · GitHub Pages

Scan Type

public

Domain Name Analysis

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

404 There isn't a GitHub Pages site here. Ifyou're trying to publish one, read the full documentation to learn how to set up GitHub Pages for your repository, organization, or user account. Github...

Page Load Overview

0.17s
Total Load Time
5 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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:N/A

Other Hashes

Crop Resistant:080c0c0000000000

Scan History

Scan history not available

Unable to load historical scan data