Security Scan Report: lyft.enterprise.slack.com

Submitted: Jan 24, 2026, 7:21:41 AMCompleted: Jan 24, 2026, 7:22:29 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 50 HTTP transactions. The main domain is lyft.enterprise.slack.com and was registered NaN years ago.

Submitted URL: https://lyft.enterprise.slack.com

The Cisco Umbrella rank of the primary domain is #1,372 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Slack login page for Lyft organization.

Safety Factors
Well-established domain age
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No credential or payment forms detected
Legitimate Slack subdomain
Domain age information unavailable

Details

Page Title

Sign in to Lyft Org | Slack

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(41%)

Domain Information

You're looking at domain 'lyft.enterprise.slack.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'lyft.enterprise'. The second-level label 'slack' is 5 characters long split between 1 vowel and 4 consonants. It segments into 1 word: slack. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lyft.enterprise.slack.com

Page Load Overview

1.70s
Total Load Time
37
HTTP Requests
8
Domains
1.0 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-US
Text Length:2,582 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software41% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
41%
documentation technical
39%
social media network
37%
government public service
30%
corporate business
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
93.68.124.95United States
799.84.152.9United States
AS16509AMAZON-02
718.159.197.225Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
7146.75.120.106United StatesUnknown
7104.18.86.42United States
AS13335CLOUDFLARENET
375--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15133C88D16288C1F81A911B48F9A9F1FA396319B92C419DDF1CC4732138FF69E71AB4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:3kleBWZRUgSz2NeJwGXiPPEvj7VgORY/cLUOt//5ptGz69Mt:3kleBWZa9SNwNiPPEuOtHS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52776:UpsJBGWgMrzSIHQB+CkARDAoKU1UZGHXQaJWWCAAWvIUmgL2YhIHQAAABPGAQkCvgaDSAUCBCDMmEwoCSSd0pUEIArgRAIhg

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#ac537d

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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