Security Scan Report: help.lyft.com

Submitted: Dec 21, 2025, 10:35:08 AMCompleted: Dec 21, 2025, 10:37:52 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is help.lyft.com and was registered NaN years ago.

Submitted URL: https://help.lyft.com/hc/en-us/all/articles/115013078668-Scheduled-rides-for-riders

The Cisco Umbrella rank of the primary domain is #22,347 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Lyft help page with no security concerns.

Safety Factors
Well‑established domain (help.lyft.com)
Official Lyft help subdomain
No suspicious forms or data collection
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by aws_waf bot protection. Our scanner was challenged or blocked during access.

Page Title

ERROR: The request could not be satisfied

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

documentation technical

(68%)

Domain Information

The domain name 'help.lyft.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'help'. The registrable portion 'lyft' spans 4 characters holding 0 vowels versus four consonants. Word splitting yields two words: ly, ft. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://help.lyft.com/hc/en-us/all/articles/115013078668-Scheduled-rides-for-riders

Page Load Overview

35.25s
Total Load Time
4
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:553 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical68% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
68%
technology software
47%
cryptocurrency blockchain
32%
healthcare medical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2108.156.22.35United States
AS16509AMAZON-02
2108.156.22.67United States
AS16509AMAZON-02
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19501863F598C242712023654DFC9BF28A11A64BDE2358010705980DF31ED794CFF61C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kHksq+Me57SaQSorcUezjIykgxQ4rlORGR88:Cq+t5qI7xQ4rR88

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:821:AAAAAAGgEIAAAAAAAAAAgAAAAAAAAAgAIAAAAABAAAAAQAAAAAAgAAAEYAAAAAAAACAgAAAAAAAAAAACQCGAAAAAAAAAAEAA

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:0700ffffffffffff
Perceptual Hash:87030303c3edcddf
Difference Hash:ccec000000000000
Wavelet Hash:0000fffff0f0f0f0
Color Hash:#783a55

Other Hashes

Crop Resistant:ccec000000000000

Scan History

Scan history not available

Unable to load historical scan data