High 7.8Published Oct 26, 2026

CVE-2026-116816llama.cpp b5899 before b10261 Heap Out-of-Bounds Write via plamo2 Tokenizer

Updated under an hour ago (Oct 28, 2026, 3:50 PM ET)

Does this affect you?

It affects ggml-org llama.cpp. Add what you run to find out whether that includes you.

No exploitation reported and no EPSS estimate yet.

Do this next

Start free and add your stack

Free account, 1 product

Every CVE for ggml-org llama.cpp

Exploited in the last 30 days

llama.cpp b5899 before b10261 contains a heap out-of-bounds write vulnerability in llm_tokenizer_plamo2::build that allows attackers to corrupt heap memory via crafted GGUF models. Attackers can supply BYTE-typed token text like <0x-1> whose negative parsed value writes token ids before the bytes_ buffer during model loading, causing crashes or potential code execution.

CVSS: 7.8 HIGH (v3.1, CNA)CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Weakness (CWE): CWE-129
Known exploited: Not in CISA's KEV catalog
EPSS (exploitation in the next 30 days): Not loaded for this CVE
Assigned by: VulnCheck
NVD analysis: Awaiting Analysis
Record last updated: Oct 26, 2026
First seen by InfoSec Signals: Oct 26, 2026

Affected products

Affected products

ggml-org llama.cpp ggml_org:llama.cpp (from the name)	from b5899 before b10261	CNA record

References

References

https://github.com/ggml-org/llama.cpp/pull/25969	issue-tracking, patch
https://github.com/ggml-org/llama.cpp/pull/26511	patch, issue-tracking
https://github.com/ggml-org/llama.cpp/commit/cf06ad7dfe79e7bf2934150d4fefe1ce8db05490	patch
https://github.com/ggml-org/llama.cpp/blob/b10259/src/llama-vocab.cpp#L1376-L1377	technical-description
https://github.com/ggml-org/llama.cpp/releases/tag/b10261	release-notes
https://www.vulncheck.com/advisories/llama-cpp-b5899-before-b10261-heap-out-of-bounds-write-via-plamo2-tokenizer	third-party-advisory

The CVE record on cve.org NVD's entry

The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.