Security Scan Report: updates.moovit.com

Submitted: Mar 30, 2026, 12:36:17 PMCompleted: Mar 30, 2026, 12:37:37 PMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 14 domains to perform 23 HTTP transactions. The main domain is updates.moovit.com and was registered NaN years ago.

Submitted URL: https://updates.moovit.com/omny-new-fare-payment-system-from-mta-2/

The Cisco Umbrella rank of the primary domain is #428,912 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate informational article on a reputable domain with no security concerns.

Safety Factors
Legitimate news article about MTA's OMNY system
Well‑established domain age (>20 years)
No credential or payment collection
No suspicious redirects or URL manipulation
Domain age information unavailable

Details

Page Title

Moovit - OMNY – New Fare Payment System from MTA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(77%)

Domain Information

Domain 'updates.moovit.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'updates'. The core label 'moovit' covers 6 characters holding three vowels versus 3 consonants. Tokenizing the label suggests 2 words: moo, vit. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://updates.moovit.com/omny-new-fare-payment-system-from-mta-2/

Page Load Overview

3.35s
Total Load Time
65
HTTP Requests
15
Domains
917 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-US
Text Length:66,531 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network77% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
77%
government public service
71%
technology software
68%
blog personal website
67%
documentation technical
63%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5172.66.171.172United States
AS13335Cloudflare, Inc.
5104.20.47.8Germany
5192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
5172.66.164.96Germany
5172.217.16.200United States
AS15169Google LLC
5216.58.206.74United States
AS15169Google LLC
518.66.147.84United States
AS16509Amazon.com, Inc.
5104.18.86.42GermanyUnknown
5216.58.206.66United States
AS15169Google LLC
6513--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1192308B3B40580776B2A63D9C13AF21DD965D10BCA00CAA5B6EC01685FA0FFB14EF95D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:u+la0iiyvWCGBi2OaxpaZdypJJiQHPY3J3qak8yCZySHWq2lXlVlXX9x2oABhDkt:XriiyvlGBiXaxpiypjPY3J3qak8bZySw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48855:DW+AEYQICJIJQBE5I+SQVYgDATAYASpYFgAIpClCUUSBxAAuQLJCsAAJpDsTYEwjaYFDGjJorBrCQ2MaURAkEoAi2m7IhasZ

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:00ffe7f3f7f7ff00
Perceptual Hash:e44d1b0e66693b66
Difference Hash:6100060625851c8d
Wavelet Hash:00ffc2e3f3c7c700
Color Hash:#ac8253

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data