CVE-2026-104345 in Content Credentials Rust SDK
Summary
by MITRE • 10/15/2026
CAI Content Credentials is affected by an Improper Input Validation vulnerability that could result in a Security feature bypass. An attacker could leverage this vulnerability to bypass security measures and gain unauthorized write access. 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 system, which serves as the foundational infrastructure for embedding provenance data into digital media such as images and videos via C2PA standards, is susceptible to a critical Improper Input Validation vulnerability. This flaw resides within the component responsible for processing metadata inputs that define the integrity and origin of content files. The security architecture relies heavily on the assumption that all input parameters conform strictly to expected formats and constraints before they are processed or written into persistent storage structures. However, due to insufficient validation logic, the system fails to adequately sanitize or verify specific input vectors prior to their utilization in write operations. This deficiency creates a gap between the intended secure state of the metadata handling process and its actual runtime behavior, allowing malformed or maliciously crafted inputs to bypass internal checks designed to enforce data integrity policies.
From a technical perspective, this vulnerability is classified under CWE-20 Improper Input Validation within the Common Weakness Enumeration framework. The core issue stems from the application's failure to perform rigorous type checking, length validation, and character set verification on user-supplied or externally sourced metadata fields before they are committed to disk or memory structures associated with content credentials. In typical C2PA implementations, write access is restricted to authorized entities who possess valid cryptographic signatures. By exploiting this input validation gap, an attacker can inject specially crafted data that the system interprets as legitimate configuration or credential information rather than malicious payload. This misinterpretation allows the injection of unauthorized entries into the manifest file, effectively tricking the verification engine into accepting forged provenance claims without requiring a valid signature from a trusted authority.
The operational impact of this vulnerability is severe, primarily because it enables a Security Feature Bypass as categorized by MITRE ATT&CK technique T1562 Impair Defenses. Specifically, an attacker can manipulate the content credentials to falsely assert ownership or origin for digital media that they do not own. This capability undermines the fundamental trust model of the Content Authenticity Initiative, which relies on tamper-evident logs and cryptographic signatures to prevent misinformation and fraud in digital media. Since exploitation does not require user interaction, automated tools can scan networks or file repositories for vulnerable instances and inject false credentials silently. This facilitates large-scale disinformation campaigns where deepfakes or manipulated images are presented with seemingly authentic provenance data, making them difficult to distinguish from legitimate content by end-users relying on standard verification tools.
Furthermore, the lack of required user interaction significantly lowers the barrier to entry for attackers, allowing for automated, scalable attacks against systems that ingest and process digital media files. Once unauthorized write access is achieved through this vulnerability, an attacker can alter the chain of custody recorded in the manifest, potentially erasing previous legitimate claims or appending false ones. This compromises the non-repudiation guarantees provided by C2PA standards. The ability to bypass security measures without detection means that compromised content may propagate widely across social media platforms and news outlets before any remediation is possible, causing reputational damage and erosion of public trust in digital evidence.
To mitigate this vulnerability, immediate patching of the CAI Content Credentials library or application component containing the flawed input validation logic is essential. Developers must implement strict allow-list based validation for all metadata fields, ensuring that only expected characters, data types, and structures are accepted during write operations. Additionally, integrating runtime integrity checks can help detect anomalies in manifest structure before they are persisted. Organizations should also enforce principle of least privilege by restricting file system permissions so that even if an application is compromised, the ability to modify critical credential files is limited. Regular security audits focusing on input handling and cryptographic verification processes will further strengthen resilience against such bypass techniques.