CVE-2026-95632 in C2PA Tool
Summary
by MITRE • 10/14/2026
CAI Content Credentials is affected by an Improper Verification of Cryptographic Signature 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 • 10/14/2026
The CAI Content Credentials system, which is designed to provide provenance information for digital content through cryptographic signatures, suffers from a critical flaw classified as Improper Verification of Cryptographic Signatures under CWE-347. This vulnerability stems from an insufficient validation mechanism within the signature verification process, allowing attackers to manipulate or forge credential data without possessing valid private keys. The core technical failure lies in the application's inability to rigorously enforce cryptographic integrity checks when processing incoming content metadata. Instead of strictly validating that a signature was generated by a trusted authority using the corresponding public key, the system accepts malformed or tampered signatures as legitimate. This deficiency effectively neutralizes the security feature intended to ensure authenticity and non-repudiation, creating a pathway for unauthorized modifications to content provenance data.
From an operational perspective, this flaw enables attackers to bypass essential security controls that rely on verified credentials to establish trust in digital assets. By exploiting this weakness, an adversary can inject false attribution or alter the origin story of media files, such as images or videos, without triggering any alerts or requiring user intervention. The absence of required user interaction significantly lowers the barrier for exploitation, allowing automated attacks to target systems at scale. Once exploited, the attacker gains unauthorized write access to the credential store, effectively rewriting the history of digital content. This capability undermines the fundamental purpose of Content Credentials, which is to provide a reliable chain of custody and transparency regarding how media was created or modified.
The impact extends beyond simple data integrity issues into broader security and trust implications. In environments where automated systems rely on these credentials for decision-making processes, such as filtering malicious content or verifying source authenticity in news aggregation platforms, the ability to forge signatures can lead to significant operational disruptions. Attackers could potentially disguise malware-laden files as legitimate media by attaching forged but technically valid-looking credentials that pass the flawed verification checks. This aligns with ATT&CK technique T1608, specifically Drive-by Crypto Mining or more broadly T1553 Subvert Trust Controls, where adversaries manipulate trust mechanisms to maintain persistence or evade detection. The lack of user interaction means that even security-conscious users are vulnerable if their systems automatically process content from untrusted sources.
Mitigation strategies must focus on hardening the cryptographic verification logic within the CAI Content Credentials implementation. Developers should implement strict adherence to standard signature validation protocols, ensuring that every component of the credential is verified against trusted root certificates and that no fallback mechanisms allow for unsigned or weakly signed data to be accepted as valid. It is crucial to enforce canonicalization rules to prevent parsing ambiguities that might lead to verification bypasses. Additionally, implementing defense-in-depth measures such as input validation at multiple layers can help detect anomalous credential structures before they reach the cryptographic engine. Organizations relying on this technology should monitor for unusual patterns in content provenance data and consider deploying runtime application self-protection tools that can identify deviations from expected signature behaviors until a patched version is available.