We examine the automotive data ecosystem and take a closer look at privacy and security concerns arising from how data is generated, consumed, and transmitted by connected vehicles.
The photos, videos, and audio posts we put online expose sensitive biometric patterns that can be abused by cybercriminals. These patterns are virtually unchangeable and can be used now or in future attacks.
Our research takes an in-depth look at the security flaws that we found in the logistics API implementation of e-commerce platforms that can potentially leak the private information of consumers.
An unsecured Amazon S3 bucket was found leaking the data of more than 30,000 individuals. It was discovered to have exposed 85,000 files that included records with sensitive personally identifiable information (PII).