CVE-2026-57108
Summary
by MITRE • 07/14/2026
Access of resource using incompatible type ('type confusion') in .NET Core allows an unauthorized attacker to deny service over a network.
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Analysis
by VulDB Data Team • 07/14/2026
Type confusion vulnerabilities represent a critical class of software defects that occur when a program incorrectly handles data types during runtime operations, often leading to unpredictable behavior and potential exploitation. In the context of .NET Core implementations, this particular vulnerability manifests when applications process resources through incompatible type operations that can be manipulated by unauthorized attackers to cause denial of service conditions. The underlying flaw stems from insufficient type validation mechanisms within the runtime environment where objects may be interpreted as different types than originally intended, creating opportunities for malicious actors to exploit these inconsistencies.
The technical nature of this vulnerability involves scenarios where .NET Core's type system fails to properly enforce type safety during resource operations, allowing attackers to craft inputs that trigger unexpected type transitions or coercions. When applications handle user-supplied data through methods that do not adequately validate object types, the runtime may attempt to perform operations on objects using inappropriate method signatures or memory access patterns. This type confusion can lead to memory corruption issues, stack overflow conditions, or other runtime exceptions that ultimately result in service disruption. The vulnerability is particularly dangerous because it operates at the core runtime level where resource handling and memory management occur, making it difficult to detect and prevent through traditional input validation approaches.
From an operational impact perspective, this vulnerability enables unauthorized attackers to perform denial of service attacks against .NET Core applications by exploiting the type confusion patterns to cause application crashes, resource exhaustion, or system instability. Attackers can craft specific payloads that trigger the vulnerable code paths, leading to cascading failures that affect availability and performance. The network-based nature of this attack means that remote exploitation is possible without requiring local access or elevated privileges, making it particularly attractive to threat actors seeking to disrupt services. Organizations running .NET Core applications are at risk of experiencing service interruptions, degraded performance, or complete application unavailability when these vulnerabilities are successfully exploited.
Mitigation strategies for this type confusion vulnerability should focus on implementing robust type validation mechanisms within .NET Core applications and ensuring proper runtime protections are in place. Developers must conduct thorough code reviews to identify potential type handling patterns that could lead to confusion scenarios, particularly around dynamic type operations, reflection usage, and unsafe memory operations. The implementation of strict input validation, proper object lifetime management, and comprehensive error handling can significantly reduce the attack surface. Additionally, organizations should maintain up-to-date .NET Core runtime versions that include patches addressing known type confusion issues, and consider implementing application sandboxing or containerization strategies to limit potential damage from successful exploitation attempts. These measures align with recommended practices from industry standards such as the CWE taxonomy which categorizes this issue under CWE-471, representing "Use of Incompatible Type" and the ATT&CK framework's defense evasion techniques that target runtime integrity violations.
The vulnerability demonstrates the importance of type safety in modern application frameworks and highlights how seemingly minor implementation details can create significant security risks. Organizations should implement comprehensive testing procedures including fuzzing and static analysis to identify potential type confusion scenarios before they can be exploited by attackers. Regular security assessments and penetration testing focused on runtime behavior can help identify these subtle but dangerous vulnerabilities that may not surface during normal operational testing phases.