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Security Scan Report: app.rybbit.io

Redirected to:
https://app.rybbit.io/login
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Submitted: May 23, 2026, 11:54:51 PMCompleted: May 23, 2026, 11:56:34 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 90 HTTP transactions. The main domain is app.rybbit.io and was registered NaN years ago.

Submitted URL: https://app.rybbit.io

Effective URL: https://app.rybbit.io/loginRedirected

The Cisco Umbrella rank of the primary domain is #353,243 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 95%

8
Risk Score

High‑risk site likely impersonating Google/GitHub to harvest credentials; avoid and report.

Risk Factors
Brand impersonation on low‑ranked domain
Credential login form on unrelated domain
High JavaScript obfuscation and extensive eval() usage
Low Cisco Umbrella reputation for claimed brand
Presence of external resources (Mapbox, Cloudflare) without clear purpose
Domain age information unavailable

Details

Page Title

Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(38%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'app.rybbit.io' is registered with subdomain 'app'. The registrable portion 'rybbit' spans 6 characters split between 1 vowel and five consonants. Breaking it apart gives two words: ryb, bit. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.rybbit.io

Page Load Overview

35.08s
Total Load Time
46
HTTP Requests
3
Domains
95 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:159 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software38% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.18.94.41United States
AS13335Cloudflare, Inc.
799.84.152.83United States
AS16509Amazon.com, Inc.
718.66.147.74United States
AS16509Amazon.com, Inc.
7172.67.208.174United States
AS13335Cloudflare, Inc.
75.78.110.218Hillsboro, Oregon, United States
AS212317Hetzner Online GmbH
7176.34.175.202Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
466--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D73E81FE904E51ECC228DAB773EAE36B49EC53BD7304078A6ADC51C11565B90BEB9C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XtcrIN5Vqb0VmCBp9zgPYiDCByFL1K3n8Umuythvg1PNenvoc/HI:XSQ5V60VpBp9qYiDCByd1K3n8UmPthvw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75832:FVDbswLPeIEKEkVkBB0oAAF0MJEQRQACOcgKS44M2QdEoeEABACgaMgqER4LRBoOkEMaKTEkEQuhqsdVnuECFQCA4wCq0oCK

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:c0c0ccccccccc0c0
Perceptual Hash:f0f06d0d94069bf9
Difference Hash:9599999898999995
Wavelet Hash:e0e0ecececece0e0
Color Hash:#bf4240

Other Hashes

Crop Resistant:9599999898999995,e0dcf8d8789ad4f0,4cb271797971b24c

Scan History

Scan history not available

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