llama.cpp b5854 before b11275 Integer Overflow in gguf_init_from_reader
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Fix
- Fixed in b11275, 0.6.0
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
- Exploitation: none
- Automatable: no
- Technical impact: partial
Summary
The llama.cpp inference library, which is used to load and run AI language models in the GGUF file format, is affected. A specially crafted model file can trigger an integer overflow during loading, leading to out-of-bounds memory reads that could crash the software or expose memory contents.
Summarized by anthropic/claude-haiku-5.5. Verify details against the original sources.
Read the original description
llama.cpp b5854 before b11275 contains an integer overflow vulnerability in gguf_init_from_reader that bypasses the CVE-2025-53630 size check when padding near-SIZE_MAX tensor sizes. Attackers can supply a crafted GGUF file whose tensor size pads to zero, causing an undersized data blob and out-of-bounds reads by consumers.
Timeline
- CVE published
- First seen by cve.now
- CISA SSVC assessment
Exploitation: none · Automatable: no · Technical impact: partial
- Record last updated
Affected versions
- ggml-org llama.cpp
From b5854 · fixed in b11275; From 0.1.0 · fixed in 0.6.0