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NGL: ask me anything
NGL: ask me anything
How to use NGL:
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To ensure the safety of our users, NGL leverages Hive Moderation’s automated moderation solution as the first line of defense to scan messages for inappropriate content.
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Terms of service: https://ngl.link/terms-of-service
Privacy policy: https://ngl.link/privacy-policy
NGL: ask me anything
Package ID
com.nglreactnative
Version
266
Developer
NGL App
Category
Social
Store Rank
166
App Store Link
View in Google PlayDeveloper Privacy Policy
Privacy PolicyObservations Summary:
Sensitive Data Collection and Sharing Observations
SENSITIVE INFO FOUNDThis app collects, stores, or shares information that is often designated as sensitive and private.
Observed During Analysis
- Build Fingerprint
- Username
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Why Data Collection and Sharing Matters
If not managed properly private data can expose enterprises, customers, employees and partners to breach and compliance violations.
Network Connections Observations
DETECTEDNetwork analysis has detected communication with external servers and data transfer patterns.
Observed During Analysis
Connected Hostname:
- amazon.com
- cloudflare.com
- + 1 more
Server Locations:
- Ashburn, Virginia, US
- Chicago, Illinois, US
- + 6 more
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Why Network Connections Matter
Uncontrolled communication with external servers by an employee-used app could expose sensitive business data to unauthorized third parties. This unauthorized access can lead to data breaches, regulatory non-compliance, and damage to your business's reputation and financial standing.
Privacy Declarations Observations
NOT DETECTEDThis test did not detect a discrepancy, indicating all required declarations are disclosed.
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Why Privacy Declarations Matter
Declarations matter because they provide transparency on how apps collect and use sensitive data. iOS requires Privacy Manifest declarations, while Android requires Data Safety disclosures and manifest permissions.
AI Observations
NONE DETECTEDNone detected. Further analysis recommended.
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Why AI Matters
AI features can process sensitive data in unexpected ways, potentially exposing proprietary information or creating liability.
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