Lookup for vulnerable packages by Package URL.

GET /api/packages/44855?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "url": "http://public2.vulnerablecode.io/api/packages/44855?format=api",
    "purl": "pkg:pypi/bentoml@1.0.23",
    "type": "pypi",
    "namespace": "",
    "name": "bentoml",
    "version": "1.0.23",
    "qualifiers": {},
    "subpath": "",
    "is_vulnerable": true,
    "next_non_vulnerable_version": "1.4.39",
    "latest_non_vulnerable_version": "1.4.39",
    "affected_by_vulnerabilities": [
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37043?format=api",
            "vulnerability_id": "VCID-4bcc-ergh-83e6",
            "summary": "BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.8, there was an insecure deserialization in BentoML's runner server. By setting specific headers and parameters in the POST request, it is possible to execute any unauthorized arbitrary code on the server, which will grant the attackers to have the initial access and information disclosure on the server. This vulnerability is fixed in 1.4.8.",
            "references": [
                {
                    "reference_url": "https://github.com/bentoml/BentoML",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML"
                },
                {
                    "reference_url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-7v4r-c989-xh26",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-7v4r-c989-xh26"
                },
                {
                    "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/bentoml/PYSEC-2025-32.yaml",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/pypa/advisory-database/tree/main/vulns/bentoml/PYSEC-2025-32.yaml"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2025-32375",
                    "reference_id": "CVE-2025-32375",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-32375"
                },
                {
                    "reference_url": "https://github.com/advisories/GHSA-7v4r-c989-xh26",
                    "reference_id": "GHSA-7v4r-c989-xh26",
                    "reference_type": "",
                    "scores": [],
                    "url": "https://github.com/advisories/GHSA-7v4r-c989-xh26"
                }
            ],
            "fixed_packages": [
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/44937?format=api",
                    "purl": "pkg:pypi/bentoml@1.4.8",
                    "is_vulnerable": true,
                    "affected_by_vulnerabilities": [
                        {
                            "vulnerability": "VCID-5mjt-8ze7-h7d9"
                        },
                        {
                            "vulnerability": "VCID-bv3z-1yux-kka6"
                        },
                        {
                            "vulnerability": "VCID-twd8-ejvs-6ffv"
                        },
                        {
                            "vulnerability": "VCID-ujzb-bk9k-7yf2"
                        },
                        {
                            "vulnerability": "VCID-zxca-jerw-6ycm"
                        }
                    ],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/bentoml@1.4.8"
                }
            ],
            "aliases": [
                "CVE-2025-32375",
                "GHSA-7v4r-c989-xh26",
                "PYSEC-2025-32"
            ],
            "risk_score": 4.5,
            "exploitability": "0.5",
            "weighted_severity": "9.0",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-4bcc-ergh-83e6"
        },
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/51271?format=api",
            "vulnerability_id": "VCID-5mjt-8ze7-h7d9",
            "summary": "BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.39, a malicious bentofile.yaml containing a newline-injected value in envs[*].name produces unquoted RUN directives in the BentoML-generated Dockerfile. When the victim runs bentoml containerize on the imported bento, those RUN directives execute on the host during docker build. This vulnerability is fixed in 1.4.39.",
            "references": [
                {
                    "reference_url": "https://github.com/bentoml/BentoML",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "8.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML"
                },
                {
                    "reference_url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-78f9-r8mh-4xm2",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "8.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-78f9-r8mh-4xm2"
                },
                {
                    "reference_url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-w2pm-x38x-jp44",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "8.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-w2pm-x38x-jp44"
                }
            ],
            "fixed_packages": [
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/75163?format=api",
                    "purl": "pkg:pypi/bentoml@1.4.39",
                    "is_vulnerable": false,
                    "affected_by_vulnerabilities": [],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/bentoml@1.4.39"
                }
            ],
            "aliases": [
                "CVE-2026-44346",
                "GHSA-w2pm-x38x-jp44",
                "PYSEC-2026-190"
            ],
            "risk_score": 4.0,
            "exploitability": "0.5",
            "weighted_severity": "8.0",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-5mjt-8ze7-h7d9"
        },
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37262?format=api",
            "vulnerability_id": "VCID-bv3z-1yux-kka6",
            "summary": "BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.38, the Dockerfile generation function generate_containerfile() in src/bentoml/_internal/container/generate.py uses an unsandboxed jinja2.Environment with the jinja2.ext.do extension to render user-provided dockerfile_template files. When a victim imports a malicious bento archive and runs bentoml containerize, attacker-controlled Jinja2 template code executes arbitrary Python directly on the host machine, bypassing all container isolation. This vulnerability is fixed in 1.4.38.",
            "references": [
                {
                    "reference_url": "https://github.com/bentoml/BentoML",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "8.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML"
                },
                {
                    "reference_url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-v959-cwq9-7hr6",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "8.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "9.6",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-v959-cwq9-7hr6"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2026-35044",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "8.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-35044"
                }
            ],
            "fixed_packages": [
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/49121?format=api",
                    "purl": "pkg:pypi/bentoml@1.4.38",
                    "is_vulnerable": true,
                    "affected_by_vulnerabilities": [
                        {
                            "vulnerability": "VCID-5mjt-8ze7-h7d9"
                        },
                        {
                            "vulnerability": "VCID-ujzb-bk9k-7yf2"
                        }
                    ],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/bentoml@1.4.38"
                }
            ],
            "aliases": [
                "CVE-2026-35044",
                "GHSA-v959-cwq9-7hr6",
                "PYSEC-2026-159"
            ],
            "risk_score": 4.3,
            "exploitability": "0.5",
            "weighted_severity": "8.6",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-bv3z-1yux-kka6"
        },
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37256?format=api",
            "vulnerability_id": "VCID-twd8-ejvs-6ffv",
            "summary": "BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.37, the `docker.system_packages` field in `bentofile.yaml` accepts arbitrary strings that are interpolated directly into Dockerfile `RUN` commands without sanitization. Since `system_packages` is semantically a list of OS package names (data), users do not expect values to be interpreted as shell commands. A malicious `bentofile.yaml` achieves arbitrary command execution during `bentoml containerize` / `docker build`. Version 1.4.37 fixes the issue.",
            "references": [
                {
                    "reference_url": "https://github.com/bentoml/BentoML",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML"
                },
                {
                    "reference_url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-jfjg-vc52-wqvf",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-jfjg-vc52-wqvf"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2026-33744",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-33744"
                }
            ],
            "fixed_packages": [
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/49079?format=api",
                    "purl": "pkg:pypi/bentoml@1.4.37",
                    "is_vulnerable": true,
                    "affected_by_vulnerabilities": [
                        {
                            "vulnerability": "VCID-5mjt-8ze7-h7d9"
                        },
                        {
                            "vulnerability": "VCID-bv3z-1yux-kka6"
                        },
                        {
                            "vulnerability": "VCID-ujzb-bk9k-7yf2"
                        },
                        {
                            "vulnerability": "VCID-zxca-jerw-6ycm"
                        }
                    ],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/bentoml@1.4.37"
                }
            ],
            "aliases": [
                "CVE-2026-33744",
                "GHSA-jfjg-vc52-wqvf",
                "PYSEC-2026-157"
            ],
            "risk_score": 4.0,
            "exploitability": "0.5",
            "weighted_severity": "8.0",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-twd8-ejvs-6ffv"
        },
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/51260?format=api",
            "vulnerability_id": "VCID-ujzb-bk9k-7yf2",
            "summary": "BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.39, src/bentoml/_internal/container/frontend/dockerfile/templates/base_v2.j2 interpolates docker.base_image raw with no escaping, newline filtering, or validation. A malicious bento.yaml with a multi-line docker.base_image value smuggles arbitrary Dockerfile directives into the generated Dockerfile, and bentoml containerize then runs docker build which executes the injected RUN directives on the victim host. This vulnerability is fixed in 1.4.39.",
            "references": [
                {
                    "reference_url": "https://github.com/bentoml/BentoML",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "8.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML"
                },
                {
                    "reference_url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-78f9-r8mh-4xm2",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "8.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-78f9-r8mh-4xm2"
                },
                {
                    "reference_url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-w2pm-x38x-jp44",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "8.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-w2pm-x38x-jp44"
                }
            ],
            "fixed_packages": [
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/75163?format=api",
                    "purl": "pkg:pypi/bentoml@1.4.39",
                    "is_vulnerable": false,
                    "affected_by_vulnerabilities": [],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/bentoml@1.4.39"
                }
            ],
            "aliases": [
                "CVE-2026-44345",
                "GHSA-78f9-r8mh-4xm2",
                "PYSEC-2026-189"
            ],
            "risk_score": 4.0,
            "exploitability": "0.5",
            "weighted_severity": "8.0",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-ujzb-bk9k-7yf2"
        },
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37261?format=api",
            "vulnerability_id": "VCID-zxca-jerw-6ycm",
            "summary": "BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.38, the cloud deployment path in src/bentoml/_internal/cloud/deployment.py was not included in the fix for CVE-2026-33744. Line 1648 interpolates system_packages directly into a shell command using an f-string without any quoting. The generated script is uploaded to BentoCloud as setup.sh and executed on the cloud build infrastructure during deployment, making this a remote code execution on the CI/CD tier. This vulnerability is fixed in 1.4.38.",
            "references": [
                {
                    "reference_url": "https://github.com/bentoml/BentoML",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML"
                },
                {
                    "reference_url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-fgv4-6jr3-jgfw",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-fgv4-6jr3-jgfw"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2026-33744",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-33744"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2026-35043",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-35043"
                }
            ],
            "fixed_packages": [
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/49121?format=api",
                    "purl": "pkg:pypi/bentoml@1.4.38",
                    "is_vulnerable": true,
                    "affected_by_vulnerabilities": [
                        {
                            "vulnerability": "VCID-5mjt-8ze7-h7d9"
                        },
                        {
                            "vulnerability": "VCID-ujzb-bk9k-7yf2"
                        }
                    ],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/bentoml@1.4.38"
                }
            ],
            "aliases": [
                "CVE-2026-35043",
                "GHSA-fgv4-6jr3-jgfw",
                "PYSEC-2026-158"
            ],
            "risk_score": 4.0,
            "exploitability": "0.5",
            "weighted_severity": "8.0",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-zxca-jerw-6ycm"
        }
    ],
    "fixing_vulnerabilities": [],
    "risk_score": "4.5",
    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/bentoml@1.0.23"
}