The usage of online social networks (OSN) has significantly increased in recent years due to advancements in mobile applications and online interactions. However, sharing and posting photos on social networking services (SNS) often leads to insufficient protection of user photos when distributed on other platforms, posing serious consequences and endangering user safety. While privacy issues have been the main focus of research, there needs to be a balance between privacy protection and effective social networking services, such as data sharing, retrieval, and access. To address this, SecureFrame is a blockchain-infused framework designed to ensure reliable photo sharing among strong distribution controls. It leverages Gaussian mask blurring, PreHash photo integrity checking, and access control algorithms to ensure secure data sharing and fair data retrieval and access without compromising user privacy. The framework's dynamic privacy policy generation algorithm maximizes the flexibility of reposters while protecting the privacy of authors. SecureFrame also provides a mechanism to prevent illegal reprinting by identifying the ownership of photos. Extensive safety experiments and analysis were conducted to prove the productiveness, efficiency, and safety of the given framework i.e., SecureFrame provides a secure photo sharing solution that balances privacy protection and efficient social networking services while ensuring the safety and privacy of users.