CVE-2026-54381 in VitaFit
Summary
by MITRE • 11/05/2026
VitaFit cloud API before 2026-10-30 contained a misconfigured cloud storage bucket vulnerability that allows unauthenticated attackers to list and download stored files without authentication. Attackers can enumerate the publicly accessible bucket containing 129,947 objects, including 126,881 user-uploaded profile images, to access sensitive personal data without credentials.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Analysis
by VulDB Data Team • 11/05/2026
The vulnerability identified in VitaFit cloud API prior to October 30, 2026, represents a critical failure in the configuration of cloud storage infrastructure, specifically involving an improperly secured object storage bucket. This misconfiguration resulted in public read access being granted to a container holding nearly one hundred thirty thousand objects without any requirement for authentication or authorization tokens. The root cause lies in the incorrect setting of Access Control Lists (ACLs) or bucket policies that explicitly allow anonymous users to perform list and get operations on stored data. In cloud computing environments, such as Amazon S3 or similar object storage services, default permissions often err on the side of privacy, but administrative errors can inadvertently expose these buckets to the public internet. This specific instance highlights a common operational oversight where developers or system administrators fail to enforce strict access controls during deployment or subsequent configuration changes, leaving sensitive data exposed to unauthenticated actors across the global network.
From a technical perspective, this flaw falls squarely under the category of insecure direct object references and improper permission assignment for cloud resources. The attacker was able to enumerate the bucket contents using standard HTTP GET requests directed at the storage endpoint. By iterating through potential file names or utilizing directory listing features inherent in many web server configurations that front these buckets, the adversary could retrieve metadata and actual file content. The scale of exposure is significant, with over one hundred twenty-six thousand user-uploaded profile images being accessible. These files are not merely random data points but contain personally identifiable information (PII) embedded within image EXIF metadata or potentially visible in the visual content itself, such as faces, backgrounds containing home addresses, or other contextual details that can be used for social engineering attacks. The ability to download these files without credentials means there is no audit trail of who accessed what data, making detection and attribution extremely difficult post-exploitation.
The operational impact of this vulnerability extends beyond simple data leakage into the realm of severe privacy violations and potential regulatory non-compliance. With access to such a large volume of personal profile images, attackers can engage in identity theft, harassment, or targeted phishing campaigns using real user photos to increase credibility. Furthermore, the exposure of metadata associated with these files could reveal geographic locations, device information, and timestamps that further compromise individual privacy. For VitaFit as an organization, this incident poses substantial reputational damage and legal liability under data protection regulations such as GDPR in Europe or CCPA in California, which mandate strict safeguards for personal data. The lack of authentication also implies a failure to implement basic security hygiene practices recommended by industry standards like the OWASP Cloud Security Top Ten, specifically regarding broken object level authorization and insufficient encryption at rest if additional layers were not applied.
Mitigation strategies must focus on immediate remediation of the storage configuration followed by long-term architectural improvements. The primary action is to immediately revoke public read access for the affected bucket, ensuring that all objects require authenticated requests with valid credentials before any retrieval or listing operations are permitted. It is also critical to audit existing permissions across all cloud storage assets to identify similar misconfigurations using automated scanning tools provided by cloud providers or third-party security platforms. Implementing a principle of least privilege ensures that only authorized services and users have access to specific data sets. Additionally, organizations should enforce server-side encryption for all stored objects and consider implementing bucket policies that restrict access based on IP ranges or VPC endpoints rather than open internet access. Regular security assessments and automated compliance checks against frameworks like CIS Benchmarks can help prevent recurrence by catching configuration drift before it leads to exposure of sensitive user data.