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    4 vulnerabilities by leejet

    CVE-2026-47747 (GCVE-0-2026-47747)

    Vulnerability from cvelistv5 – Published: 2026-06-16 18:32 – Updated: 2026-06-17 18:12
    VLAI
    Title
    stable-diffusion.cpp has a Heap-based Buffer Overflow
    Summary
    stable-diffusion.cpp is a pure C/C++ library for running diffusion model (Stable Diffusion, Flux, Wan, Qwen Image, Z-Image, and more) inference. In versions prior to master-584-0a7ae07, the pickle .ckpt parser in src/model.cpp contained a heap buffer overflow vulnerability in the BINUNICODE opcode handler. The issue was caused by sign confusion on the opcode length field. A crafted .ckpt file could trigger memcpy with a very large length derived from a negative signed value, causing immediate heap corruption. The issue has been resolved in version master-584-0a7ae07. If developers are unable to immediately update their applications they can work around this issue by only loading .ckpt checkpoint files from trusted sources and preferring trusted model sources and safer formats such as .safetensors where possible.
    SSVC
    Exploitation: poc Automatable: no Technical Impact: total
    CISA Coordinator (v2.0.3)
    CWE
    Assigner
    Impacted products
    Vendor Product Version
    leejet stable-diffusion.cpp Affected: < master-584-0a7ae07
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-47750 (GCVE-0-2026-47750)

    Vulnerability from cvelistv5 – Published: 2026-06-16 18:17 – Updated: 2026-06-17 13:58
    VLAI
    Title
    stable-diffusion.cpp: Heap buffer overflow in GLOBAL opcode parsing for PyTorch checkpoint files
    Summary
    stable-diffusion.cpp is a pure C/C++ library for running diffusion model (Stable Diffusion, Flux, Wan, Qwen Image, Z-Image, and more) inference. In versions prior to master-584-0a7ae07, the pickle .ckpt parser in src/model.cpp contained a heap buffer overflow vulnerability in the GLOBAL opcode handler. The issue was caused by missing validation when searching for newline-delimited fields. A crafted .ckpt file without the expected newline could cause the parser to use -1 as a copy length, resulting in immediate heap corruption. The attack requires the victim or application to load a .ckpt file from an untrusted source, such as a downloaded model from a model sharing site. The issue has been resolved in version master-584-0a7ae07. If developers are unable to immediately update their applications they can work around this issue by following these instructions: do not load .ckpt checkpoint files from untrusted sources, and prefer trusted model sources and safer formats such as .safetensors where possible.
    SSVC
    Exploitation: poc Automatable: no Technical Impact: total
    CISA Coordinator (v2.0.3)
    CWE
    Assigner
    Impacted products
    Vendor Product Version
    leejet stable-diffusion.cpp Affected: < master-584-0a7ae07
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-47749 (GCVE-0-2026-47749)

    Vulnerability from cvelistv5 – Published: 2026-06-16 17:23 – Updated: 2026-06-16 19:31
    VLAI
    Title
    stable-diffusion.cpp: Heap buffer overflow in SHORT_BINUNICODE parsing for PyTorch checkpoint files
    Summary
    stable-diffusion.cpp is a pure C/C++ library for running diffusion model (Stable Diffusion, Flux, Wan, Qwen Image, Z-Image, and more) inference. Versions prior to master-584-0a7ae07 are vulnerable to heap buffer overflow in SHORT_BINUNICODE parsing for PyTorch checkpoint files. The pickle .ckpt parser in src/model.cpp contained a heap buffer overflow vulnerability in the SHORT_BINUNICODE opcode handler. The issue was caused by sign confusion on the opcode length field. A crafted .ckpt file could trigger memcpy with a very large length derived from a negative signed value, causing immediate heap corruption. Any application using affected stable-diffusion.cpp releases to load untrusted .ckpt model files could be vulnerable. A malicious checkpoint file could cause heap corruption through memcpy with an attacker-controlled length. This may lead to process crash and could potentially be leveraged for code execution depending on heap layout. The attack requires the victim or application to load a .ckpt file from an untrusted source, such as a downloaded model from a model sharing site. The issue has been resolved in version master-584-0a7ae07. If developers are unable to immediately update their applications they can work around this issue by not loading .ckpt checkpoint files from untrusted sources, and referring to trusted model sources and safer formats such as .safetensors where possible.
    SSVC
    Exploitation: poc Automatable: no Technical Impact: total
    CISA Coordinator (v2.0.3)
    CWE
    Assigner
    Impacted products
    Vendor Product Version
    leejet stable-diffusion.cpp Affected: < master-584-0a7ae07
    Create a notification for this product.
    Show details on NVD website

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    CVE-2026-47748 (GCVE-0-2026-47748)

    Vulnerability from cvelistv5 – Published: 2026-06-16 17:11 – Updated: 2026-06-16 18:42
    VLAI
    Title
    stable-diffusion.cpp: Out-of-bounds reads in PyTorch checkpoint pickle opcode parsing
    Summary
    stable-diffusion.cpp is a pure C/C++ library for running diffusion model (Stable Diffusion, Flux, Wan, Qwen Image, Z-Image, and more) inference. Versions prior to master-584-0a7ae07 are vulnerable to an out-of-bounds reads error through PyTorch checkpoint pickle opcode parsing. The pickle .ckpt parser in src/model.cpp did not consistently check that enough input remained before reading opcode arguments or advancing the parser buffer with a crafted or truncated .ckpt file. Throughout the pickle parser, opcode handlers advanced the parser position with expressions such as buffer += N without first checking that buffer + N <= buffer_end. A truncated file could therefore cause reads past the end of the metadata buffer. LibFuzzer found crashes in under one second using malformed checkpoint inputs. Any application using affected stable-diffusion.cpp releases to load untrusted .ckpt model files could be vulnerable. The attack requires the victim or application to load a .ckpt file from an untrusted source, such as a downloaded model from a model sharing site. This issue has been fixed in version master-584-0a7ae07. If developers are unable to immediately update their applications, they can work around this issue by ensuring they do not load .ckpt checkpoint files from untrusted sources. They should prefer trusted model sources and safer formats such as .safetensors where possible.
    SSVC
    Exploitation: poc Automatable: no Technical Impact: partial
    CISA Coordinator (v2.0.3)
    CWE
    Assigner
    References
    Impacted products
    Vendor Product Version
    leejet stable-diffusion.cpp Affected: < master-584-0a7ae07
    Create a notification for this product.
    Show details on NVD website

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            {
              "lang": "en",
              "value": "stable-diffusion.cpp is a pure C/C++ library for running diffusion model (Stable Diffusion, Flux, Wan, Qwen Image, Z-Image, and more) inference. Versions prior to master-584-0a7ae07 are vulnerable to an out-of-bounds reads error through PyTorch checkpoint pickle opcode parsing. The pickle .ckpt parser in src/model.cpp did not consistently check that enough input remained before reading opcode arguments or advancing the parser buffer with a crafted or truncated .ckpt file. Throughout the pickle parser, opcode handlers advanced the parser position with expressions such as buffer += N without first checking that buffer + N \u003c= buffer_end. A truncated file could therefore cause reads past the end of the metadata buffer. LibFuzzer found crashes in under one second using malformed checkpoint inputs. Any application using affected stable-diffusion.cpp releases to load untrusted .ckpt model files could be vulnerable. The attack requires the victim or application to load a .ckpt file from an untrusted source, such as a downloaded model from a model sharing site. This issue has been fixed in version master-584-0a7ae07. If developers are unable to immediately update their applications, they can work around this issue by ensuring they do not load .ckpt checkpoint files from untrusted sources. They should prefer trusted model sources and safer formats such as .safetensors where possible."
            }
          ],
          "metrics": [
            {
              "cvssV3_1": {
                "attackComplexity": "LOW",
                "attackVector": "LOCAL",
                "availabilityImpact": "HIGH",
                "baseScore": 5.5,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "NONE",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "REQUIRED",
                "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
                "version": "3.1"
              }
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "cweId": "CWE-125",
                  "description": "CWE-125: Out-of-bounds Read",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2026-06-16T17:11:15.143Z",
            "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
            "shortName": "GitHub_M"
          },
          "references": [
            {
              "name": "https://github.com/leejet/stable-diffusion.cpp/security/advisories/GHSA-rx4w-x86j-vx57",
              "tags": [
                "x_refsource_CONFIRM"
              ],
              "url": "https://github.com/leejet/stable-diffusion.cpp/security/advisories/GHSA-rx4w-x86j-vx57"
            },
            {
              "name": "https://github.com/leejet/stable-diffusion.cpp/commit/0a7ae07f948eff4611968a65a22bd7c7031ad74f",
              "tags": [
                "x_refsource_MISC"
              ],
              "url": "https://github.com/leejet/stable-diffusion.cpp/commit/0a7ae07f948eff4611968a65a22bd7c7031ad74f"
            }
          ],
          "source": {
            "advisory": "GHSA-rx4w-x86j-vx57",
            "discovery": "UNKNOWN"
          },
          "title": "stable-diffusion.cpp: Out-of-bounds reads in PyTorch checkpoint pickle opcode parsing"
        }
      },
      "cveMetadata": {
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "assignerShortName": "GitHub_M",
        "cveId": "CVE-2026-47748",
        "datePublished": "2026-06-16T17:11:15.143Z",
        "dateReserved": "2026-05-19T22:16:39.504Z",
        "dateUpdated": "2026-06-16T18:42:49.132Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }