Assimp up to 6.0.5 Ogre3D Importer OgreStructs.cpp BoneById null pointer dereference
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.82- |
Summary
A vulnerability classified as problematic has been found in Assimp up to 6.0.5. The affected element is the function BoneById of the file OgreStructs.cpp of the component Ogre3D Importer. This manipulation causes null pointer dereference.
This vulnerability is handled as CVE-2026-111128. It is possible to launch the attack on the local host. There is not any exploit available.
Details
A vulnerability was found in Assimp up to 6.0.5. It has been declared as problematic. Affected by this vulnerability is the function BoneById of the file OgreStructs.cpp of the component Ogre3D Importer. The manipulation with an unknown input leads to a null pointer dereference vulnerability. The CWE definition for the vulnerability is CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. As an impact it is known to affect availability. The summary by CVE is:
Assimp through 6.0.5 contains a NULL pointer dereference vulnerability in the Ogre3D importer that allows attackers to crash applications via unvalidated bone indices in OgreStructs.cpp. Attackers can supply a crafted .mesh and .skeleton file referencing a missing bone, causing BoneById() to return null and crash the host process.
It is possible to read the advisory at hackmd.io. This vulnerability is known as CVE-2026-111128 since 10/15/2026. 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.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 4.1VulDB Meta Temp Score: 4.1
VulDB Base Score: 2.8
VulDB Temp Score: 2.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 5.5
CNA Vector (VulnCheck): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Null pointer dereferenceCWE: CWE-476 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
10/15/2026 Advisory disclosed10/15/2026 CVE reserved
10/15/2026 VulDB entry created
10/15/2026 VulDB entry last update
Sources
Advisory: hackmd.ioStatus: Not defined
CVE: CVE-2026-111128 (🔒)
GCVE (CVE): GCVE-0-2026-111128
GCVE (VulDB): GCVE-100-420811
Entry
Created: 10/15/2026 21:18Changes: 10/15/2026 21:18 (74)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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