Security Scan Report: www.pittsburgh-theater.com

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Submitted: Jul 3, 2026, 9:54:02 PMCompleted: Jul 3, 2026, 9:55:35 PMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 2 HTTP transactions. The main domain is pittsburgh-theater.com and was registered NaN years ago.

Submitted URL: https://www.pittsburgh-theater.com/shows/pnc-park/noah-kahan

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Site exhibits high JavaScript obfuscation but lacks any credential, payment, or brand‑impersonation indicators; overall moderate risk.

Risk Factors
High JavaScript obfuscation (critical score)
Use of Function() constructor for dynamic code generation
Excessive string concatenation and base64 encoding patterns
Safety Factors
Long‑standing domain with over 16 years of registration
Self‑branding matches the domain, no brand impersonation
Absence of forms that collect credentials or payment data
No threat‑intel IoC matches or malware YARA detections
No network‑level IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

www.pittsburgh-theater.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.pittsburgh-theater.com' is registered with subdomain 'www'. Count 18 characters in 'pittsburgh-theater' containing five vowels alongside twelve consonants; bonus characters include one hyphen. Breaking it apart gives two words: pittsburgh, theater. Average segment length settles at 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.pittsburgh-theater.com/shows/pnc-park/noah-kahan

Page Load Overview

8.13s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:774 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
59%
adult content
55%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23.160.150.46Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
054.192.35.75Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0142.251.127.95Google · CDNUnited States
AS15169Google LLC
0192.178.183.157Google · CDNUnited States
AS15169Google LLC
03.174.46.107Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
25--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172048F77329A063986558498E057830D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsP22bMy8OldR:IhoC9JSqzzbs6okSjggcpsu2eAH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:188015:gthZgoQqkAwDj0AIoIaq6ayoAKAU6VKaYAKmABlAknAAAQQMgCc8ESCACCqEAAJmmgaiFQUwNRYxsZQHVSQCAhqDIEqE1NYZ

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:ffdfc7c700383030
Color Hash:#cc6ce0

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data