Security Scan Report: app.us.quantilope.com

Redirected to:
https://auth.us.quantilope.com/login?state=hKFo2SBIRTM0cEZBUzVNS0RKOGt...
Site favicon
Submitted: Oct 4, 2026, 2:12:50 PMCompleted: Oct 4, 2026, 2:13:29 PMpubliccompleted

This website contacted 14 IPs in 2 countries across 10 domains to perform 28 HTTP transactions. The main domain is auth.us.quantilope.com and was registered 14 years ago.

Submitted URL: https://app.us.quantilope.com

Effective URL:

https://auth.us.quantilope.com/login?state=hKFo2SBIRTM0cEZBUzVNS0RKOGt...
Redirected

The Cisco Umbrella rank of the primary domain is #389,898 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Established 11-year-old domain's own Auth0 SSO login page; no impersonation, no threat-intel, YARA, IDS, or credential exfiltration signals.

Safety Factors (5)
Domain is over 11 years old and well established.
Login form uses Auth0 SSO on the same company's domain.
No threat-intelligence matches, YARA malware hits, or IDS alerts.
No credential exfiltration detected; cross-origin form submission is a legitimate SSO flow.
Page presents its own brand (quantilope), not impersonating a different entity.
Domain age information unavailable

Details

Page Title

quantilope | Sign In with Auth0

Scan Type

public

Domain Name Analysis

Domain 'app.us.quantilope.com' uses the commercial generic top-level domain (.com) with subdomain 'app.us'. Count 10 characters in 'quantilope' containing five vowels alongside 5 consonants. Word splitting yields 3 words: quant, i, lope. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.us.quantilope.com

Page Load Overview

5.37s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:94 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain32% confidence
Type: webapp
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
32%
technology software
31%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.26.6.126Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2146.75.122.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2142.251.14.95Google · CDNUnited States
AS15169Google LLC
2104.16.40.28Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
218.204.141.221Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2104.26.7.126Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.16.41.28Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
234.234.143.15Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
213.248.151.210Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2814--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18DF3E93AA50532ECB43BC93AD4C0B641A114C556FB339AEFB576D92ACBCB146037374A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1AME9hyMUYFhf5Cq5rD/FXq23CpA9aNjdYenIcuYYRAPFRV7r410ORHcK5vMhn6j:oBFhbFXq23CpA9aNjdYenIcuYYRAPFR6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:158826:PAYIACqAMQjAsBDggBEUQVLBAugY+g2SCETIUnFE59wcAQcMJEAggmQU0NDDwKeGkAIIIGI6BWiMEABWAGMCSEAggCsnKAAk

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:ffffe7e7ffe7ffff
Perceptual Hash:e626999999666699
Difference Hash:00304d4d304d0c10
Wavelet Hash:00000000efe7ffff
Color Hash:#2dd298

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data