CVE-2026-48444 in Command-Line Toolinfo

Summary

by MITRE • 08/11/2026

CAI Content Credentials is affected by an Integer Overflow or Wraparound 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 does not require user interaction.

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Analysis

by VulDB Data Team • 08/11/2026

The CAI Content Credentials vulnerability represents a critical integer overflow or wraparound flaw that fundamentally compromises application stability and availability. This type of vulnerability falls under the CWE-190 category known as "Integer Overflow or Wraparound" which occurs when an application performs arithmetic operations on signed or unsigned integers without proper bounds checking, allowing the result to exceed the maximum representable value and wrap around to a smaller value. The specific nature of this flaw in CAI Content Credentials means that when the system processes certain input data or performs calculations involving integer variables, it fails to validate whether the resulting values remain within acceptable ranges, creating a predictable point of failure.

The operational impact of this vulnerability extends beyond simple application crashes to encompass complete denial-of-service conditions that can severely disrupt content credentialing processes. When an attacker exploits this integer overflow condition, they can manipulate input parameters or internal calculations in such a way that integer variables wrap around to negative values or zero, causing array bounds checking to fail, memory allocation to become corrupted, or loop conditions to become infinite. This results in the application becoming unresponsive, terminating unexpectedly, or entering a state where it cannot process legitimate credential requests, effectively rendering the content verification system unusable for authorized users and potentially impacting downstream systems that depend on proper credential validation.

The exploitation of this vulnerability does not require any user interaction, making it particularly dangerous as it can be triggered automatically through network-based attacks or automated scanning tools. This characteristic aligns with ATT&CK technique T1499.004 which covers "Unauthorized Use of System Resources" and represents a significant risk in environments where content credentials are processed automatically without human oversight. The lack of user interaction requirement means that adversaries can deploy this exploit at scale, potentially targeting multiple instances of the CAI Content Credentials system simultaneously, creating widespread disruption across organizations that rely on automated credential verification processes.

Mitigation strategies for this vulnerability should focus on implementing comprehensive integer overflow protection mechanisms throughout the application codebase. Developers must ensure that all integer arithmetic operations include proper bounds checking and validation before and after calculations occur, utilizing defensive programming practices such as explicit range checks, overflow detection libraries, and secure coding standards that prevent unsigned integers from wrapping around to negative values. Additionally, implementing input sanitization measures that validate all external data before processing can help prevent malicious inputs from triggering the overflow conditions. The system should also incorporate robust error handling and recovery mechanisms that can gracefully manage integer overflow conditions without causing complete application failure, ensuring that legitimate credential requests continue to be processed even when malformed inputs are encountered. Organizations should also consider implementing monitoring and alerting systems that can detect unusual patterns of application crashes or resource consumption that might indicate exploitation attempts, providing early warning capabilities for potential attacks targeting this specific vulnerability class.

Responsible

Adobe

Reservation

05/21/2026

Disclosure

08/11/2026

Moderation

accepted

CPE

ready

EPSS

0.00000

KEV

no

Activities

very low

Sources

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