CVE-2026-17501 (GCVE-0-2026-17501)
Vulnerability from cvelistv5 – Published: 2026-07-27 00:30 – Updated: 2026-07-29 04:43
VLAI
EPSS
VEX
Title
ggml-org llama.cpp JSON-Schema-to-GBNF Conversion json-schema-to-grammar.cpp transform recursion
Summary
A flaw has been found in ggml-org llama.cpp e15efe0. This vulnerability affects the function transform of the file common/json-schema-to-grammar.cpp of the component JSON-Schema-to-GBNF Conversion. This manipulation causes uncontrolled recursion. The attack may be initiated remotely. The pull request to fix this issue awaits acceptance.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-27 17:05 UTC
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/383354 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/383354/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-17501 | third-party-advisory |
| https://vuldb.com/submit/798504 | third-party-advisory |
| https://github.com/ggml-org/llama.cpp/issues/25283 | issue-tracking |
| https://github.com/ggml-org/llama.cpp/pull/25308 | issue-trackingpatch |
| https://github.com/ggml-org/llama.cpp/ | product |
Impacted products
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
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They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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