CVE-2026-73750 in AOS-CXinfo

Summary

by MITRE • 09/02/2026

Vulnerabilities exist in the authentication module that may improperly process malformed or truncated input. An authenticated remote attacker could exploit these vulnerabilities by providing specially crafted input from a compromised or hostile authentication server. Successful exploitation could result in a Denial-of-Service or potential remote code execution with elevated privileges.

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Analysis

by VulDB Data Team • 09/02/2026

The identified vulnerability resides within the core authentication module of the affected system, specifically targeting its handling of incoming credential data and session tokens. This flaw is characterized by an improper validation mechanism that fails to adequately sanitize or bound-check input received from external identity providers or authentication servers. In a typical enterprise environment, systems often rely on federated authentication protocols such as SAML, OAuth2, or OIDC, where the service provider trusts assertions issued by an identity provider. The vulnerability arises when the application processes these assertions without strictly enforcing length limits or validating structural integrity against expected schemas. This lack of rigorous input validation creates a window for exploitation where malformed, truncated, or excessively long payloads can disrupt normal processing logic or trigger memory corruption errors within the authentication handler.

From a technical perspective, this flaw aligns with CWE-20 Improper Input Validation and potentially CWE-189 Integer Overflow if the truncation leads to incorrect size calculations during buffer allocation. The operational impact is severe because it allows an authenticated remote attacker to leverage their existing access or compromise of an authentication server to inject malicious payloads into the trust chain. By providing specially crafted input, such as a malformed SAML assertion with oversized attributes or truncated XML structures that bypass standard parsers, an attacker can cause the application to enter an unstable state. This instability manifests primarily as a Denial-of-Service condition where the service becomes unresponsive due to resource exhaustion, infinite loops, or crash conditions in the authentication daemon. However, depending on the specific implementation details and memory management practices of the underlying software, this input handling error may also lead to buffer overflow scenarios that permit arbitrary code execution.

The potential for Remote Code Execution with elevated privileges significantly escalates the risk profile of this vulnerability. If an attacker can trigger a heap or stack-based buffer overflow through malformed authentication data, they may gain control over program flow and execute malicious commands within the context of the application process. Since authentication modules typically run with high-level system permissions to manage user sessions and access controls, successful exploitation could grant the attacker full administrative control over the target infrastructure. This scenario is particularly dangerous in environments where lateral movement is facilitated by compromised credentials or tokens, as it allows an adversary to pivot from a single compromised node to broader network segments. The attack vector falls under MITRE ATT&CK technique T1078 Valid Accounts and potentially T1210 Exploitation of Remote Services, highlighting the critical need for robust input sanitization in identity management components.

Mitigation strategies must focus on implementing strict schema validation and length constraints for all inputs received from authentication servers. Developers should enforce maximum payload sizes at both the network layer and application logic layers to prevent oversized data from reaching vulnerable parsing routines. Utilizing secure coding libraries that automatically handle buffer bounds checking can reduce the risk of memory corruption vulnerabilities. Additionally, deploying Web Application Firewalls with rules specifically tuned to detect anomalous patterns in authentication traffic may provide a temporary defense-in-depth measure while patches are applied. It is crucial for organizations to review their federation configurations and ensure that trust relationships do not implicitly accept unvalidated data structures from third-party identity providers. Regular security assessments focusing on input validation logic within critical path components like login handlers and token validators will help identify similar weaknesses before they can be exploited in production environments.

Responsible

Hpe

Reservation

08/13/2026

Disclosure

09/02/2026

Moderation

accepted

CPE

ready

EPSS

0.00000

KEV

no

Activities

very low

Sources

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