CVE-2025-58480: CWE-122: Heap-based Buffer Overflow in Samsung Mobile Samsung Mobile Devices
Heap-based buffer overflow in libimagecodec.quram.so prior to SMR Dec-2025 Release 1 allows remote attackers to access out-of-bounds memory.
AI Analysis
Technical Summary
CVE-2025-58480 is a heap-based buffer overflow vulnerability identified in the libimagecodec.quram.so library used by Samsung Mobile devices. This vulnerability exists in versions prior to the SMR (Security Maintenance Release) December 2025 Release 1 update. The flaw arises when the library improperly handles image data, allowing remote attackers to craft malicious image files that trigger out-of-bounds memory access on the heap. This can lead to memory corruption, potentially allowing attackers to alter the integrity of the device's memory space. The vulnerability does not require any privileges (PR:N) but does require user interaction (UI:R), such as opening or processing a malicious image file. The attack vector is network-based (AV:N), meaning the malicious file can be delivered remotely, for example via messaging apps, email, or web downloads. The CVSS v3.1 base score is 4.3, indicating medium severity, with no direct impact on confidentiality or availability but a potential impact on integrity. No known exploits have been reported in the wild, and no patches are currently linked, suggesting users should apply the upcoming SMR Dec-2025 Release 1 update once available. The vulnerability is classified under CWE-122 (Heap-based Buffer Overflow), a common and serious class of memory corruption bugs that can lead to unpredictable behavior or further exploitation.
Potential Impact
For European organizations, this vulnerability poses a moderate risk primarily to the integrity of Samsung Mobile devices used within their infrastructure. While it does not directly compromise confidentiality or availability, successful exploitation could allow attackers to execute arbitrary code or manipulate device behavior by corrupting memory. This could lead to unauthorized actions or persistence on mobile endpoints, which are often used for sensitive communications and access to corporate resources. The requirement for user interaction limits the attack scope but does not eliminate risk, especially in environments with high mobile device usage and exposure to untrusted content. Organizations relying heavily on Samsung Mobile devices for business operations, especially in sectors like finance, government, and critical infrastructure, could face targeted attacks leveraging this vulnerability. The absence of known exploits reduces immediate risk but underscores the importance of timely patching and user awareness to prevent exploitation.
Mitigation Recommendations
Organizations should prioritize updating Samsung Mobile devices to the SMR December 2025 Release 1 or later as soon as it becomes available to remediate this vulnerability. Until patches are applied, users should be educated to avoid opening image files from untrusted or unknown sources, particularly those received via email, messaging apps, or web downloads. Implementing mobile device management (MDM) solutions can help enforce security policies, restrict installation of untrusted applications, and monitor device behavior for anomalies. Network-level protections such as email filtering, attachment scanning, and URL reputation services can reduce the likelihood of malicious content delivery. Additionally, organizations should maintain an inventory of Samsung Mobile devices to ensure all endpoints are updated promptly. Monitoring security advisories from Samsung and subscribing to vulnerability notification services will aid in timely response. Finally, consider deploying endpoint detection and response (EDR) tools capable of identifying exploitation attempts or unusual memory corruption events on mobile devices.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Sweden
CVE-2025-58480: CWE-122: Heap-based Buffer Overflow in Samsung Mobile Samsung Mobile Devices
Description
Heap-based buffer overflow in libimagecodec.quram.so prior to SMR Dec-2025 Release 1 allows remote attackers to access out-of-bounds memory.
AI-Powered Analysis
Technical Analysis
CVE-2025-58480 is a heap-based buffer overflow vulnerability identified in the libimagecodec.quram.so library used by Samsung Mobile devices. This vulnerability exists in versions prior to the SMR (Security Maintenance Release) December 2025 Release 1 update. The flaw arises when the library improperly handles image data, allowing remote attackers to craft malicious image files that trigger out-of-bounds memory access on the heap. This can lead to memory corruption, potentially allowing attackers to alter the integrity of the device's memory space. The vulnerability does not require any privileges (PR:N) but does require user interaction (UI:R), such as opening or processing a malicious image file. The attack vector is network-based (AV:N), meaning the malicious file can be delivered remotely, for example via messaging apps, email, or web downloads. The CVSS v3.1 base score is 4.3, indicating medium severity, with no direct impact on confidentiality or availability but a potential impact on integrity. No known exploits have been reported in the wild, and no patches are currently linked, suggesting users should apply the upcoming SMR Dec-2025 Release 1 update once available. The vulnerability is classified under CWE-122 (Heap-based Buffer Overflow), a common and serious class of memory corruption bugs that can lead to unpredictable behavior or further exploitation.
Potential Impact
For European organizations, this vulnerability poses a moderate risk primarily to the integrity of Samsung Mobile devices used within their infrastructure. While it does not directly compromise confidentiality or availability, successful exploitation could allow attackers to execute arbitrary code or manipulate device behavior by corrupting memory. This could lead to unauthorized actions or persistence on mobile endpoints, which are often used for sensitive communications and access to corporate resources. The requirement for user interaction limits the attack scope but does not eliminate risk, especially in environments with high mobile device usage and exposure to untrusted content. Organizations relying heavily on Samsung Mobile devices for business operations, especially in sectors like finance, government, and critical infrastructure, could face targeted attacks leveraging this vulnerability. The absence of known exploits reduces immediate risk but underscores the importance of timely patching and user awareness to prevent exploitation.
Mitigation Recommendations
Organizations should prioritize updating Samsung Mobile devices to the SMR December 2025 Release 1 or later as soon as it becomes available to remediate this vulnerability. Until patches are applied, users should be educated to avoid opening image files from untrusted or unknown sources, particularly those received via email, messaging apps, or web downloads. Implementing mobile device management (MDM) solutions can help enforce security policies, restrict installation of untrusted applications, and monitor device behavior for anomalies. Network-level protections such as email filtering, attachment scanning, and URL reputation services can reduce the likelihood of malicious content delivery. Additionally, organizations should maintain an inventory of Samsung Mobile devices to ensure all endpoints are updated promptly. Monitoring security advisories from Samsung and subscribing to vulnerability notification services will aid in timely response. Finally, consider deploying endpoint detection and response (EDR) tools capable of identifying exploitation attempts or unusual memory corruption events on mobile devices.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- SamsungMobile
- Date Reserved
- 2025-09-03T06:13:48.468Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 692e499df2f793a7de785131
Added to database: 12/2/2025, 2:06:21 AM
Last enriched: 12/9/2025, 4:34:48 AM
Last updated: 1/18/2026, 5:38:52 AM
Views: 43
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