CVE-2025-59600 in Snapdragon Auto
Summary
by MITRE • 03/02/2026
Memory Corruption when adding user-supplied data without checking available buffer space.
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Analysis
by VulDB Data Team • 03/09/2026
This vulnerability represents a classic buffer overflow condition that occurs when applications fail to validate the size of user-provided input data against available buffer capacity. The flaw manifests during data processing operations where system components accept external inputs without proper bounds checking mechanisms. Such memory corruption vulnerabilities typically arise from inadequate input validation routines that do not account for potential data size variations exceeding allocated memory boundaries. The vulnerability exists across multiple system components that handle user-supplied data streams, making it particularly dangerous as it can affect various application layers from network protocols to file processing functions.
The technical implementation of this memory corruption vulnerability stems from improper memory management practices where developers assume that input data will always conform to expected size parameters. When user-supplied data exceeds the allocated buffer space, adjacent memory regions become overwritten, potentially leading to arbitrary code execution or system instability. This type of flaw falls under the common weakness enumeration CWE-121, which specifically addresses stack-based buffer overflow conditions, and may also relate to CWE-787 for out-of-bounds write vulnerabilities. The vulnerability creates opportunities for attackers to manipulate memory contents through carefully crafted input sequences that trigger the overflow condition.
Operationally, this vulnerability presents significant risks to system integrity and data confidentiality. Attackers can exploit the memory corruption to execute malicious code within the application context, potentially escalating privileges or gaining unauthorized access to sensitive system resources. The impact extends beyond immediate system compromise as the vulnerability can facilitate further attacks through privilege escalation techniques or lateral movement within network environments. Organizations using affected systems face potential data breaches, service disruptions, and compliance violations that could result in substantial financial and reputational damage. The vulnerability's exploitation typically requires minimal skill level and can be automated through various attack frameworks, making it particularly dangerous in production environments.
Mitigation strategies should focus on implementing comprehensive input validation mechanisms that enforce strict buffer size limits before data processing operations. Developers must incorporate proper bounds checking routines and utilize safe programming practices that prevent buffer overflows through techniques such as stack canaries, address space layout randomization, and memory protection features. Security patches should address the root cause by ensuring all user-supplied data undergoes size validation against allocated buffer capacity. Organizations should also implement network segmentation, intrusion detection systems, and regular security assessments to identify and remediate similar vulnerabilities across their infrastructure. The remediation process must include thorough code reviews, automated static analysis tools, and dynamic testing procedures to prevent recurrence of such memory corruption flaws in future software releases.