Assimp up to 6.0.6 OgreBinarySerializer ReadSubMesh integer overflow

CVSS Meta Temp Score
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CTI Interest Score
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4.1$0-$5k0.26+

Summaryinfo

A vulnerability was found in Assimp up to 6.0.6. It has been classified as problematic. Affected is the function OgreBinarySerializer::ReadSubMesh of the component OgreBinarySerializer. This manipulation causes integer overflow. This vulnerability is handled as CVE-2026-129479. It is possible to launch the attack on the local host. There is not any exploit available.

Detailsinfo

A vulnerability classified as problematic was found in Assimp up to 6.0.6. Affected by this vulnerability is the function OgreBinarySerializer::ReadSubMesh of the component OgreBinarySerializer. The manipulation with an unknown input leads to a integer overflow vulnerability. The CWE definition for the vulnerability is CWE-190. The product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. This occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number. As an impact it is known to affect availability. The summary by CVE is:

Assimp through 6.0.6 contains an integer overflow vulnerability in OgreBinarySerializer::ReadSubMesh that allows attackers to crash applications by supplying crafted Ogre binary .mesh files. Attackers can set a large index count so the 32-bit buffer size wraps, causing a segmentation fault in aiMesh::~aiMesh() during scene teardown.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-129479 since 11/15/2026. The exploitation appears to be easy. Attacking locally is a requirement. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 4.1
VulDB Meta Temp Score: 4.1

VulDB Base Score: 2.8
VulDB Temp Score: 2.7
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 5.5
CNA Vector (VulnCheck): 🔒

CVSSv2info

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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Integer overflow
CWE: CWE-190 / CWE-189
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: Partially

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

11/15/2026 Advisory disclosed
11/15/2026 +0 days CVE reserved
11/15/2026 +0 days VulDB entry created
11/15/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Not defined

CNA: VulnCheck
CVE: CVE-2026-129479 (🔒)

GCVE (CVE): GCVE-0-2026-129479
GCVE (VulDB): GCVE-100-437491

Entryinfo

Created: 11/15/2026 14:31
Changes: 11/15/2026 14:31 (74)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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