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CVE-2026-84286
Published:October 12, 2026
Updated:October 16, 2026
ExLlamaV3’s EXL3 loader uses an untrusted, model-supplied index to select a CUDA kernel without first verifying that the index is within bounds. A malicious model can force the code to read and invoke an out‑of‑range function pointer, resulting in a reproducible crash. Under specific conditions involving certain host memory layouts, it may be possible for an attacker to exploit this vulnerability to achieve controlled indirect kernel dispatch during model load.
Affected Packages
https://github.com/turboderp-org/exllamav3.git (GITHUB):
Affected version(s) >=v1.4.0 <v1.4.7
Fix Suggestion:
Update to version v1.4.7
exllamav3 (PYTHON):
Affected version(s) >=1.4.0 <1.4.7
Fix Suggestion:
Update to version 1.4.7
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CVSS v4
Base Score:
5.7
Attack Vector
LOCAL
Attack Complexity
LOW
Attack Requirements
PRESENT
Privileges Required
NONE
User Interaction
ACTIVE
Vulnerable System Confidentiality
LOW
Vulnerable System Integrity
LOW
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
6.6
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
REQUIRED
Scope
UNCHANGED
Confidentiality
LOW
Integrity
LOW
Availability
HIGH
EPSS
Base Score:
0.20