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© 2026 FAUCET Technologies LLC. All rights reserved.

Ggml

First CVE: Feb 26, 2024Active for: 2 yearsTotal CVEs: 16
50.1
VTI Score
TOP TARGET

Ggml provides a machine-learning inference library that, despite a narrow product focus, underpins widely deployed implementations such as llama.cpp and has achieved prominent adoption in the generative AI ecosystem. Vulnerabilities affecting the vendor skew strongly toward critical-severity outcomes and recur through memory-safety weakness classes—out-of-bounds writes and reads, integer overflows, heap-based buffer overflows, and improper bounds restrictions—that are characteristic of performance-critical native code handling untrusted model inputs and tensor operations. Defenders should track this vendor's releases closely given the increasing deployment of these inference engines in production systems; live severity, exploitation, and exposure counts are shown alongside this summary.

FAUCET AI Generated
16
Total CVEs
More Total CVEs than 95% of tracked vendors
5.3
Avg CVEs / Product / Year
More Avg CVEs / Product / Year than 98% of tracked vendors
9.0
Avg CVSS Score
Higher Avg CVSS Score than 87% of tracked vendors
0.0%
In CISA KEV
Bottom 1%

Trends Over Time

The number and severity of CVEs published that impact products developed by Ggml over time

Volume of CVEsAvg CVSS Base Score
First CVE
Feb 26, 2024
2 years ago
Most Recent CVE
Apr 1, 2026
114 days ago

Products(1 total)

Top CVEs

Signals from CVEs in this vendor scope (16 CVEs).

16 CVEs · Highest risk first

CVEPublishedCVSSRiskKEVExploit
CVE-2026-34159CRITICAL
llama.cpp is an inference of several LLM models in C/C++. Prior to version b8492, the RPC backend's deserialize_tensor() skips all bounds validation when a tensor's buffer field is
Apr 1, 20269.836NONO
CVE-2024-42479CRITICAL
llama.cpp provides LLM inference in C/C++. The unsafe `data` pointer member in the `rpc_tensor` structure can cause arbitrary address writing. This vulnerability is fixed in b3561.
Aug 12, 20249.833NONO
CVE-2026-21869CRITICAL
llama.cpp is an inference of several LLM models in C/C++. In commits 55d4206c8 and prior, the n_discard parameter is parsed directly from JSON input in the llama.cpp server's compl
Jan 8, 20269.832NONO
CVE-2024-42478CRITICAL
llama.cpp provides LLM inference in C/C++. The unsafe `data` pointer member in the `rpc_tensor` structure can cause arbitrary address reading. This vulnerability is fixed in b3561.
Aug 12, 20249.829NONO
CVE-2024-21836CRITICAL
A heap-based buffer overflow vulnerability exists in the GGUF library header.n_tensors functionality of llama.cpp Commit 18c2e17. A specially crafted .gguf file can lead to code ex
Feb 26, 20249.828NONO
CVE-2026-33298HIGH
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 valida
Mar 24, 20267.827NONO
CVE-2024-21825CRITICAL
A heap-based buffer overflow vulnerability exists in the GGUF library GGUF_TYPE_ARRAY/GGUF_TYPE_STRING parsing functionality of llama.cpp Commit 18c2e17. A specially crafted .gguf
Feb 26, 20249.827NONO
CVE-2024-21802CRITICAL
A heap-based buffer overflow vulnerability exists in the GGUF library info->ne functionality of llama.cpp Commit 18c2e17. A specially crafted .gguf file can lead to code executi
Feb 26, 20249.827NONO
CVE-2026-27940HIGH
llama.cpp is an inference of several LLM models in C/C++. Prior to b8146, the gguf_init_from_file_impl() in gguf.cpp is vulnerable to an Integer overflow, leading to an undersized
Mar 12, 20267.826NONO
CVE-2024-23605CRITICAL
A heap-based buffer overflow vulnerability exists in the GGUF library header.n_kv functionality of llama.cpp Commit 18c2e17. A specially crafted .gguf file can lead to code executi
Feb 26, 20249.826NONO
View all 16 CVEs →

CVE Severity & Scoring

Severity distribution of CVEs that affect this vendor's products16 CVEs
38%
56%
Severity distribution among all CVEs352,231 CVEs
45%
40%
11%
MediumHighCritical
Attack Vector
Local2 (12.5%)
Network14 (87.5%)
Unknown0 (0.0%)
Physical0 (0.0%)
Adjacent Network0 (0.0%)
Attack Complexity
Low16 (100.0%)
High0 (0.0%)
Unknown0 (0.0%)
User Interaction
None10 (62.5%)
Unknown0 (0.0%)
Required6 (37.5%)
Privileges Required
Low0 (0.0%)
High0 (0.0%)
None16 (100.0%)
Unknown0 (0.0%)

Exploit Exposure

Signals from CVEs in this vendor scope (16 CVEs).

CISA KEV
0 CVEs
0.0% of CVEs· Bottom 1%
Metasploit
0 CVEs
0.0% of CVEs· Bottom 1%
Nuclei
0 CVEs
0.0% of CVEs· Bottom 1%
ExploitDB
0 CVEs
0.0% of CVEs· Bottom 1%

Social Chatter

An overview of all social media posts that mention a CVE ID that affects a product developed by Ggml.

Media Mentions

Media articles that mention a CVE ID that affects a product developed by Ggml — matched by CVE ID, not by vendor name.

Top CNAs Publishing CVEs For Ggml's Products

View all 2 CNAs →

Top CWEs