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Uncovering Azure's Silent Threats: A Journey into Cloud Vulnerabilities
Uncover the often-overlooked vulnerabilities in Azure and learn how to mitigate the risks of data breaches, cyber attacks, and security threats with expert insights and proactive strategies.
- Azure’s silent threats can be exploited by attackers to gain access to sensitive information.
- Credentials are often stored or logged in clear text, making them easily accessible.
- Jupyter notebooks and services are widely used for machine learning and data science, but can be vulnerable to attacks.
- Azure’s machine learning service exposes sensitive information through a custom token that can be logged in the access logs.
- Data stores in Azure can be accessed without authentication, increasing the risk of data breaches.
- Environment variables can contain sensitive information, and logging this information can lead to exposure.
- Custom roles and permissions in Azure can help reduce the attack surface.
- Network isolation options can help prevent lateral movement within a network.
- The principle of least privilege should be implemented to reduce the risk of exploitation.
- Zero-trust security models can help prevent attacks by verifying the integrity of all data and resources.
- Defending against silent threats requires a combination of threat modeling, vulnerability scanning, and proactive incident response.