# CVE-2025-53630

## Summary

- **CVE ID:** CVE-2025-53630
- **Severity:** HIGH
- **CVSS Score:** 8.9 (CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P)
- **CWE:** CWE-122, CWE-680
- **Published:** Jul 10, 2025
- **Last Modified:** Mar 13, 2026

## Description

llama.cpp is an inference of several LLM models in C/C++. Integer Overflow in the gguf_init_from_file_impl function in ggml/src/gguf.cpp can lead to Heap Out-of-Bounds Read/Write. This vulnerability is fixed in commit 26a48ad699d50b6268900062661bd22f3e792579.

## Affected Products

- ggml-org — llama.cpp (< 26a48ad699d50b6268900062661bd22f3e792579)

## References

- [CNA](https://github.com/ggml-org/llama.cpp/security/advisories/GHSA-vgg9-87g3-85w8)
- [CNA](https://github.com/ggml-org/llama.cpp/commit/26a48ad699d50b6268900062661bd22f3e792579)

## Exploitation Prediction (EPSS)

- **EPSS Score:** 0.32%
- **EPSS Percentile:** 24.5

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_Exported from OnDuty AI Vulnerability Intelligence on 2026-09-11._