CVE-2026-48377 in C2PA Tool
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 limited 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 authenticating digital media provenance through C2PA standards, is susceptible to an Improper Input Validation vulnerability that directly compromises its security model. This flaw stems from insufficient sanitization and validation of input data streams processed by the credentialing service, allowing malicious actors to inject malformed or specially crafted metadata structures into the content signature chain. By exploiting this weakness in the parsing logic, an attacker can manipulate how credentials are appended or verified within a digital asset's manifest file. The core technical failure lies in the system's inability to strictly enforce schema constraints and boundary checks on incoming credential data, which is critical for maintaining the integrity of the cryptographic signatures that prove content origin and history.
This vulnerability enables a Security feature bypass where an adversary can circumvent standard authentication protocols designed to prevent unauthorized modifications to digital assets. Specifically, the flaw allows for limited write access to the credentials store or manifest structure without proper authorization checks being triggered effectively. This means that while full system compromise may not be immediate, the attacker gains the ability to alter provenance data, potentially inserting false attribution information or removing existing authenticity markers from media files. Such manipulation undermines the trust mechanism provided by Content Credentials, as downstream consumers of digital content rely on these credentials to verify whether an image, video, or audio file has been altered since its creation.
The operational impact of this vulnerability is significant for any organization relying on CAI Content Credentials for brand protection, legal evidence preservation, or media integrity verification. An attacker leveraging this flaw can create a false sense of authenticity by embedding forged credentials that appear valid to standard validators but were generated through unauthorized means. This capability facilitates sophisticated disinformation campaigns where manipulated media is presented as genuine because it carries seemingly legitimate provenance tags. Furthermore, the lack of required user interaction for exploitation lowers the barrier to entry for attackers, allowing for automated scanning and mass compromise of vulnerable systems without needing social engineering tactics or specific victim actions beyond uploading content to a susceptible service endpoint.
From an industry standards perspective, this vulnerability aligns with CWE-20 Improper Input Validation, as the system fails to correctly neutralize special elements within user-controlled input before processing it into its internal data structures. It also relates closely to CWE-345 Insufficient Verification of Data Authenticity, since the integrity checks on incoming credential payloads are bypassed. In terms of offensive security frameworks such as MITRE ATT&CK, this behavior maps to T1078 Valid Accounts or potentially T1199 Trusted Relationship Exploitation if the attacker leverages compromised credentials obtained through other means to inject these malformed inputs. The attack vector is classified under Network-based exploitation due to the remote nature of the input validation failure within web services handling content uploads.
Mitigation strategies must focus on hardening the input processing pipeline and enhancing verification mechanisms. Developers should implement strict schema validation using robust libraries that enforce C2PA manifest specifications, ensuring all incoming data conforms exactly to expected formats before being processed into cryptographic signatures. Implementing allow-lists for acceptable character sets and structural elements in credential payloads can prevent injection attacks similar to those seen in XML or JSON parsing vulnerabilities. Additionally, introducing multi-layered verification where secondary independent checks validate the origin and integrity of credentials prior to acceptance would significantly reduce the risk of bypasses. Regular security audits focusing on input handling logic and automated penetration testing against API endpoints are essential to identify such flaws early in the development lifecycle.