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CVE

CVE-2026-33298

llama.cpp has a Heap Buffer Overflow via Integer Overflow in GGUF Tensor Parsing
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CVE

CVE-2026-33298

llama.cpp has a Heap Buffer Overflow via Integer Overflow in GGUF Tensor Parsing

llama.cpp is an inference of several LLM models in C/C++. Prior to b7824, an integer overflow vulnerability in the ggml_nbytes function allows an attacker to bypass memory validation by crafting a GGUF file with specific tensor dimensions. This causes ggml_nbytes to return a significantly smaller size than required (e.g., 4MB instead of Exabytes), leading to a heap-based buffer overflow when the application subsequently processes the tensor. This vulnerability allows potential Remote Code Execution (RCE) via memory corruption. b7824 contains a fix.

Package Versions Affected

Package Version
patch Availability
No items found.

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CVSS Version

Severity
Base Score
CVSS Version
Score Vector
C
H
U
7.8
-
3.1
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
C
H
U
0
-
3.1
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
C
H
U
-

Related Resources

No items found.

References

https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/33xxx/CVE-2026-33298.json, https://github.com/ggml-org/llama.cpp/releases/tag/b7824, https://github.com/ggml-org/llama.cpp/security/advisories/GHSA-96jg-mvhq-q7q7, https://nvd.nist.gov/vuln/detail/CVE-2026-33298

Severity

7.8

CVSS Score
0
10

Basic Information

Ecosystem
Base CVSS
7.8
EPSS Probability
0.0002%
EPSS Percentile
0.05667%
Introduced Version
0
Fix Available
4e5b83b226919c146fbfa754641a6772bcb2d722

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