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CVE-2025-47372: CWE-120 Buffer Copy Without Checking Size of Input ('Classic Buffer Overflow') in Qualcomm, Inc. Snapdragon

0
Critical
VulnerabilityCVE-2025-47372cvecve-2025-47372cwe-120
Published: Thu Dec 18 2025 (12/18/2025, 05:29:10 UTC)
Source: CVE Database V5
Vendor/Project: Qualcomm, Inc.
Product: Snapdragon

Description

Memory Corruption when a corrupted ELF image with an oversized file size is read into a buffer without authentication.

AI-Powered Analysis

AILast updated: 12/18/2025, 06:06:14 UTC

Technical Analysis

CVE-2025-47372 is a classic buffer overflow vulnerability (CWE-120) discovered in Qualcomm Snapdragon chipsets. The flaw arises when a corrupted ELF (Executable and Linkable Format) image containing an oversized file size is read into a buffer without proper size validation or authentication checks. This improper handling leads to memory corruption, which can be exploited to overwrite critical memory regions, potentially allowing an attacker to execute arbitrary code or escalate privileges. The vulnerability affects a broad range of Snapdragon variants, including QAM8255P, QAM8620P, SA9000P, and others, which are commonly embedded in mobile devices, IoT devices, and telecommunications equipment. The CVSS v3.1 score of 9.0 reflects the vulnerability's critical nature, with an attack vector requiring local access but no privileges or user interaction, and a scope change that can compromise confidentiality and integrity. Although no exploits have been reported in the wild yet, the vulnerability's characteristics make it a high-risk issue that could be leveraged for device takeover or data exfiltration. The lack of authentication in processing ELF images exacerbates the risk, as maliciously crafted ELF files could be introduced via compromised software updates or local access. Qualcomm has not yet released patches, emphasizing the need for vigilance and interim mitigations.

Potential Impact

For European organizations, the impact of CVE-2025-47372 is substantial. Devices utilizing affected Snapdragon chipsets are prevalent in smartphones, embedded systems, and network infrastructure equipment. Exploitation could lead to unauthorized code execution, data leakage, or persistent device compromise, undermining confidentiality and integrity without affecting availability. This is particularly concerning for sectors such as telecommunications, critical infrastructure, and enterprises relying on mobile and IoT devices for operations. The vulnerability's local attack vector means attackers need some form of access, but given the ubiquity of these devices and potential for insider threats or lateral movement, the risk remains high. Compromised devices could serve as footholds for broader network intrusion or espionage campaigns. Additionally, the scope change in the CVSS vector indicates that exploitation could affect components beyond the initially compromised process, amplifying potential damage. The absence of known exploits provides a window for proactive defense, but also means attackers may be actively developing weaponized code.

Mitigation Recommendations

Organizations should prioritize the following mitigations: 1) Monitor Qualcomm and device vendors for official patches and apply them immediately upon release. 2) Implement strict input validation and integrity verification for ELF images and software updates to prevent corrupted or malicious files from being processed. 3) Restrict local access to devices with affected Snapdragon chipsets through network segmentation, strong access controls, and endpoint security measures to reduce attack surface. 4) Employ runtime protections such as address space layout randomization (ASLR) and control flow integrity (CFI) where supported by device firmware. 5) Conduct regular security audits and penetration testing focusing on embedded systems and mobile devices to detect exploitation attempts. 6) Educate users and administrators about the risks of installing unauthorized software or connecting untrusted peripherals that could introduce malicious ELF images. 7) Utilize anomaly detection systems to identify unusual device behavior indicative of exploitation. These steps go beyond generic patching advice by emphasizing proactive controls around ELF image handling and local access restrictions.

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Technical Details

Data Version
5.2
Assigner Short Name
qualcomm
Date Reserved
2025-05-06T08:33:16.265Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 6943963858cc240f07ac2f3d

Added to database: 12/18/2025, 5:50:48 AM

Last enriched: 12/18/2025, 6:06:14 AM

Last updated: 12/18/2025, 9:00:28 AM

Views: 16

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