CVE-2026-75633 in Content Credentials Command-Line Tool
Summary
by MITRE • 09/22/2026
CAI Content Credentials is affected by an Improper Input Validation vulnerability that could result in an application denial-of-service. An attacker could exploit this vulnerability to crash the application, leading to a denial-of-service condition. Exploitation of this issue requires user interaction in that a victim must visit a maliciously crafted URL or interact with a compromised web page.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Analysis
by VulDB Data Team • 09/22/2026
The CAI Content Credentials software contains an improper input validation flaw within its core processing logic, which creates a significant stability risk for applications integrating the library. This vulnerability stems from insufficient sanitization and type checking of external data inputs before they are processed by the application's internal parsers or handlers. When the system encounters malformed or unexpectedly structured data, it fails to handle the anomaly gracefully, leading to an unhandled exception that terminates the process abruptly. The root cause lies in a lack of robust boundary checks and error handling mechanisms designed to anticipate edge cases where input deviates from expected formats, allowing maliciously crafted payloads to trigger internal failures rather than being rejected with appropriate feedback codes.
From an operational perspective, this flaw directly results in a denial-of-service condition for any service or application relying on CAI Content Credentials for processing metadata or credentials. An attacker can exploit this by crafting specific URLs or web pages containing the malformed input vectors described above. When a victim user interacts with these malicious elements, such as visiting a compromised website that triggers automatic parsing of content credentials, the underlying application crashes. This disruption prevents legitimate users from accessing services and degrades system availability without requiring any elevated privileges on the target machine, making it an accessible vector for attackers seeking to disrupt service continuity through simple social engineering or web-based attacks.
In terms of industry classification standards, this vulnerability aligns with CWE-20 Improper Input Validation, as the software fails to verify that user-supplied input meets expected criteria before processing. Furthermore, from a tactical standpoint within the MITRE ATT&CK framework, this exploitation method corresponds to T1496 Resource Hijacking under Denial of Service techniques, where resources are consumed or made unavailable through application crashes rather than resource exhaustion via volume attacks. The requirement for user interaction classifies it as an attack vector that relies on social engineering elements, specifically诱骗 users to access malicious content, which is consistent with T1504 Web Session Cookie manipulation if the crash occurs during session handling, though primarily it represents a direct application-level denial of service triggered by invalid data structures.
To mitigate this vulnerability, developers must implement rigorous input validation routines that strictly enforce expected data schemas and types before any processing occurs. This includes using allow-listing strategies for acceptable characters and formats rather than relying on block lists which may miss novel attack vectors. Additionally, integrating comprehensive error handling mechanisms such as try-catch blocks around critical parsing functions can prevent unhandled exceptions from crashing the entire application. Logging these validation failures is also recommended to aid in monitoring and detecting potential exploitation attempts. Updating CAI Content Credentials to a patched version that addresses this specific input validation gap is essential for restoring system stability and ensuring resilience against crafted malicious inputs designed to trigger crashes.