Vulnerability-Lookup

OESA-2025-2373 (CVE-2025-52566)

Vulnerability from osv_openeuler – Published: 2025-10-11 11:09 – Updated: 2026-08-06 11:09 – Source website

Summary

llama.cpp security update

Details

Security Fix(es):

llama.cpp is an inference of several LLM models in C/C++. Prior to version b5721, there is a signed vs. unsigned integer overflow in llama.cpp's tokenizer implementation (llama_vocab::tokenize) (src/llama-vocab.cpp:3036) resulting in unintended behavior in tokens copying size comparison. Allowing heap-overflowing llama.cpp inferencing engine with carefully manipulated text input during tokenization process. This issue has been patched in version b5721.(CVE-2025-52566)

Severity

8.8 (High)


                    
                      CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

References

URL

Type

	https://www.openeuler.org/zh/security/security-bu…	ADVISORY
	https://nvd.nist.gov/vuln/detail/CVE-2025-52566	ADVISORY

JSON

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{
  "affected": [
    {
      "ecosystem_specific": {
        "aarch64": [
          "llama.cpp-20230815-5.oe2403.aarch64.rpm"
        ],
        "src": [
          "llama.cpp-20230815-5.oe2403.src.rpm"
        ],
        "x86_64": [
          "llama.cpp-20230815-5.oe2403.x86_64.rpm"
        ]
      },
      "package": {
        "ecosystem": "openEuler:24.03-LTS",
        "name": "llama.cpp",
        "purl": "pkg:rpm/openEuler/llama.cpp\u0026distro=openEuler-24.03-LTS"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "20230815-5.oe2403"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "database_specific": {
    "severity": "High"
  },
  "details": "Security Fix(es):\n\nllama.cpp is an inference of several LLM models in C/C++. Prior to version b5721, there is a signed vs. unsigned integer overflow in llama.cpp\u0026apos;s tokenizer implementation (llama_vocab::tokenize) (src/llama-vocab.cpp:3036) resulting in unintended behavior in tokens copying size comparison. Allowing heap-overflowing llama.cpp inferencing engine with carefully manipulated text input during tokenization process. This issue has been patched in version b5721.(CVE-2025-52566)",
  "id": "OESA-2025-2373",
  "modified": "2026-08-06T11:09:27Z",
  "published": "2025-10-11T11:09:27Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2025-2373"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-52566"
    }
  ],
  "schema_version": "1.7.2",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "llama.cpp security update",
  "upstream": [
    "CVE-2025-52566"
  ]
}

CVE-2025-52566 (GCVE-0-2025-52566)

Vulnerability from cvelistv5 – Published: 2025-06-24 03:21 – Updated: 2025-06-24 21:49

Title

llama.cpp tokenizer signed vs. unsigned heap overflow

Summary

Severity

8.6 (High)


                        
                          CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-06-24 21:49 UTC

CWE

CWE-119 - Improper Restriction of Operations within the Bounds of a Memory Buffer
CWE-195 - Signed to Unsigned Conversion Error

Assigner

GitHub_M mitre root Scorecard

References

2 references

URL	Tags
https://github.com/ggml-org/llama.cpp/security/ad…	x_refsource_CONFIRM
https://github.com/ggml-org/llama.cpp/commit/dd6e…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
ggml-org	llama.cpp	Affected: < b5721

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-52566",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-06-24T21:49:17.452816Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-06-24T21:49:53.200Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "references": [
          {
            "tags": [
              "exploit"
            ],
            "url": "https://github.com/ggml-org/llama.cpp/security/advisories/GHSA-7rxv-5jhh-j6xx"
          }
        ],
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "llama.cpp",
          "vendor": "ggml-org",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c b5721"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "llama.cpp is an inference of several LLM models in C/C++. Prior to version b5721, there is a signed vs. unsigned integer overflow in llama.cpp\u0027s tokenizer implementation (llama_vocab::tokenize) (src/llama-vocab.cpp:3036) resulting in unintended behavior in tokens copying size comparison. Allowing heap-overflowing llama.cpp inferencing engine with carefully manipulated text input during tokenization process. This issue has been patched in version b5721."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 8.6,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-119",
              "description": "CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
              "cweId": "CWE-195",
              "description": "CWE-195: Signed to Unsigned Conversion Error",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-06-24T03:21:19.009Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/ggml-org/llama.cpp/security/advisories/GHSA-7rxv-5jhh-j6xx",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/ggml-org/llama.cpp/security/advisories/GHSA-7rxv-5jhh-j6xx"
        },
        {
          "name": "https://github.com/ggml-org/llama.cpp/commit/dd6e6d0b6a4bbe3ebfc931d1eb14db2f2b1d70af",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/ggml-org/llama.cpp/commit/dd6e6d0b6a4bbe3ebfc931d1eb14db2f2b1d70af"
        }
      ],
      "source": {
        "advisory": "GHSA-7rxv-5jhh-j6xx",
        "discovery": "UNKNOWN"
      },
      "title": "llama.cpp tokenizer signed vs. unsigned heap overflow"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2025-52566",
    "datePublished": "2025-06-24T03:21:19.009Z",
    "dateReserved": "2025-06-18T03:55:52.036Z",
    "dateUpdated": "2025-06-24T21:49:53.200Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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 model, served locally by ML-Gateway. 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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OESA-2025-2373 (CVE-2025-52566)

CVE-2025-52566 (GCVE-0-2025-52566)

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