CVE-2026-105902 in Content Credentials Rust SDK
Summary
by MITRE • 10/15/2026
CAI Content Credentials is affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue does not require user interaction.
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Analysis
by VulDB Data Team • 10/15/2026
The CAI Content Credentials implementation contains a flaw classified as Uncontrolled Resource Consumption, which poses a significant risk to the availability and stability of affected systems. This vulnerability allows for the potential exhaustion of critical system resources such as memory or processing cycles without requiring any form of authentication or user interaction from legitimate users. The absence of input validation or resource limits in specific code paths enables an attacker to trigger operations that consume disproportionate amounts of computational power, leading directly to a denial-of-service condition where the application becomes unresponsive or crashes entirely.
From a technical perspective, this issue aligns with CWE-400, which describes conditions where software does not properly control the allocation and maintenance of system resources, allowing an attacker to cause resource exhaustion. In the context of CAI Content Credentials, which handles metadata for digital content provenance, the vulnerability likely stems from inefficient handling of large or malformed credential structures. When processing these inputs, the application may enter infinite loops, allocate excessive memory buffers without bounds checking, or perform computationally expensive cryptographic operations on untrusted data. Because exploitation does not require user interaction, an attacker can automate this process by sending crafted requests to the service endpoint, effectively turning any accessible instance into a target for resource depletion attacks.
The operational impact of this vulnerability is severe, particularly in environments where CAI Content Credentials are used as part of a larger content management or verification pipeline. A successful denial-of-service attack disrupts the integrity and availability of digital asset tracking services. This can lead to significant downtime for applications relying on these credentials, preventing legitimate users from verifying content authenticity or accessing associated media files. In cloud-native deployments, this resource exhaustion could also trigger auto-scaling mechanisms unnecessarily, leading to increased operational costs and potential cascading failures across dependent microservices that rely on the availability of the CAI service.
To mitigate this risk, developers should implement strict input validation and size limits for all incoming credential data structures. Enforcing rate limiting at the network or application layer can help prevent rapid-fire requests from exhausting resources. Additionally, introducing timeouts for long-running operations and ensuring that memory allocations are bounded by explicit maximum thresholds will reduce the attack surface. Monitoring tools should be configured to detect abnormal spikes in CPU usage or memory consumption associated with credential processing endpoints, allowing for automated remediation before a full denial-of-service occurs. These measures align with ATT&CK technique T1496, Resource Hijacking, and general best practices outlined in OWASP guidelines for preventing resource exhaustion vulnerabilities.