Security Scan Report: app.wistia.com

Redirected to:
https://app.wistia.com/session/new
Submitted: Apr 7, 2026, 7:57:27 PMCompleted: Apr 7, 2026, 7:59:03 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 1 HTTP transaction. The main domain is app.wistia.com and was registered NaN years ago.

Submitted URL: https://app.wistia.com

Effective URL: https://app.wistia.com/session/newRedirected

The Cisco Umbrella rank of the primary domain is #4,741 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

1
Risk Score

The page is the legitimate Wistia login; no security concerns detected.

Safety Factors
Established domain age
High Cisco Umbrella reputation
Brand matches domain
No credential exfiltration detected
No malicious JavaScript YARA patterns
Domain age information unavailable

Details

Page Title

Sign in to your Wistia account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

The domain 'app.wistia.com' uses the commercial generic top-level domain (.com) with subdomain 'app'. Its registrable label 'wistia' stretches across 6 characters containing 3 vowels alongside 3 consonants. Splitting it apart reveals 3 words: wist, i, a. Expect one character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.wistia.com

Page Load Overview

5.82s
Total Load Time
179
HTTP Requests
45
Domains
3.5 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:176 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
70%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26151.101.66.217Germany
1713.226.247.226United States
AS16509Amazon.com, Inc.
17157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1718.66.147.9United States
AS16509Amazon.com, Inc.
17192.178.183.97United States
AS15169Google LLC
17151.101.129.91United States
AS54113Fastly, Inc.
173.174.46.103Germany
17146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
173.174.46.19United States
AS16509Amazon.com, Inc.
1735.237.69.59North Charleston, South Carolina, United States
AS396982Google LLC
17910--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141F2D895745C00385E2B6706DEC6AB5CA112B543DF41C4B9B1AF058AFFD2FE228F1A1E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5kCo0Q8p0rGV4xksc64Jysq7vtCoTlo9oivJo5oVoUCR2:5kCJQAebx/c64Jysq7vQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34628:zGLoIUTpiPEoRTAtgzACIqSUQcAwNBSRIlQgCYVBtFAiQTS2CFgoQgBjAjhYrSIsKAEWRe7oABHFAiOA0hDhccpA+gIiDEAK

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:f8f8f8f8f8f8f8f8
Perceptual Hash:d9b4c238c7c738c6
Difference Hash:1190101031110111
Wavelet Hash:d8c8d8f8b888f8f8
Color Hash:#2d8636

Other Hashes

Scan History

Scan history not available

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