CVE-2025-6120
Unknown Unknown - Not Provided
BaseFortify

Publication date: 2025-06-16

Last updated on: 2026-04-29

Assigner: VulDB

Description
A vulnerability classified as critical was found in Open Asset Import Library Assimp up to 5.4.3. Affected by this vulnerability is the function read_meshes in the library assimp/code/AssetLib/MDL/HalfLife/HL1MDLLoader.cpp. The manipulation leads to heap-based buffer overflow. It is possible to launch the attack on the local host. The exploit has been disclosed to the public and may be used. The project decided to collect all Fuzzer bugs in a main-issue to address them in the future.
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Meta Information
Published
2025-06-16
Last Modified
2026-04-29
Generated
2026-05-07
AI Q&A
2025-06-16
EPSS Evaluated
2026-05-05
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
assimp assimp to 5.4.3 (inc)
Helpful Resources
Exploitability
CWE
CWE Icon
KEV
KEV Icon
CWE ID Description
CWE-119 The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.
CWE-122 A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?

CVE-2025-6120 is a critical heap-based buffer overflow vulnerability in the Open Asset Import Library (Assimp) versions up to 5.4.3. It occurs in the function read_meshes within the HL1MDLLoader.cpp source file. The vulnerability arises from improper handling and validation of input data related to meshes, vertices, bones, and textures, leading to out-of-bounds memory access on the heap. This causes memory corruption by overwriting data beyond allocated buffers, which can compromise system stability and security. Exploitation requires local access and is considered easy, with a public proof-of-concept exploit available. [1, 2]


How can this vulnerability impact me? :

This vulnerability can impact confidentiality, integrity, and availability of the affected system. Because it is a heap-based buffer overflow, an attacker with local access could exploit it to corrupt memory, potentially leading to crashes, arbitrary code execution, or unauthorized access to sensitive information. The exploit is easy to perform locally, and no known mitigations currently exist, increasing the risk of compromise if the vulnerable library is used. [1]


How can this vulnerability be detected on my network or system? Can you suggest some commands?

This vulnerability requires local access and involves a heap-based buffer overflow in the Assimp library's read_meshes function. Detection can involve checking the version of Assimp installed (versions up to 5.4.3 are vulnerable). Since the exploit is local and related to processing Half-Life model files, monitoring for crashes or abnormal behavior when loading such models may indicate exploitation attempts. There are no specific detection commands or network-based detection methods provided. You can check the installed Assimp version using commands like 'assimp version' or by inspecting the package manager. Additionally, monitoring system logs for crashes related to Assimp or running fuzzing tools against the read_meshes function may help detect attempts. [1, 2]


What immediate steps should I take to mitigate this vulnerability?

No known mitigations or patches are currently published for this vulnerability. Immediate steps include avoiding the use of vulnerable Assimp versions (up to 5.4.3) and considering alternative products or libraries to avoid exposure. Restrict local access to systems running vulnerable versions to trusted users only. Monitor for updates from the project maintainers addressing this and related fuzzer bugs. Applying strict input validation and sandboxing the application using Assimp may reduce risk but are not confirmed mitigations. [1]


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