CVE-2026-27893 (GCVE-0-2026-27893)

Vulnerability from cvelistv5 – Published: 2026-03-26 23:56 – Updated: 2026-06-30 12:08
VLAI
Title
vLLM's hardcoded trust_remote_code=True in NemotronVL and KimiK25 bypasses user security opt-out
Summary
vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.18.0, two model implementation files hardcode `trust_remote_code=True` when loading sub-components, bypassing the user's explicit `--trust-remote-code=False` security opt-out. This enables remote code execution via malicious model repositories even when the user has explicitly disabled remote code trust. Version 0.18.0 patches the issue.
Severity
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-693 - Protection Mechanism Failure
  • CWE-501 - Trust Boundary Violation
Assigner
References
Impacted products
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-27893",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-03-27T13:26:41.908182Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-03-27T13:52:33.526Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      },
      {
        "affected": [
          {
            "cpes": [
              "cpe:/a:redhat:ai_inference_server:3.2::el9"
            ],
            "defaultStatus": "affected",
            "product": "Red Hat AI Inference Server 3.2",
            "vendor": "Red Hat"
          },
          {
            "cpes": [
              "cpe:/a:redhat:ai_inference_server:3.3::el9"
            ],
            "defaultStatus": "affected",
            "product": "Red Hat AI Inference Server 3.3",
            "vendor": "Red Hat"
          },
          {
            "cpes": [
              "cpe:/a:redhat:enterprise_linux_ai:3.3::el9"
            ],
            "defaultStatus": "affected",
            "product": "Red Hat Enterprise Linux AI 3.3",
            "vendor": "Red Hat"
          },
          {
            "cpes": [
              "cpe:/a:redhat:openshift_ai:2.25::el9"
            ],
            "defaultStatus": "affected",
            "product": "Red Hat OpenShift AI 2.25",
            "vendor": "Red Hat"
          },
          {
            "cpes": [
              "cpe:/a:redhat:openshift_ai:3.3::el9"
            ],
            "defaultStatus": "affected",
            "product": "Red Hat OpenShift AI 3.3",
            "vendor": "Red Hat"
          },
          {
            "cpes": [
              "cpe:/a:redhat:ai_inference_server:3"
            ],
            "defaultStatus": "affected",
            "product": "Red Hat AI Inference Server",
            "vendor": "Red Hat"
          },
          {
            "cpes": [
              "cpe:/a:redhat:openshift_ai"
            ],
            "defaultStatus": "affected",
            "product": "Red Hat OpenShift AI (RHOAI)",
            "vendor": "Red Hat"
          }
        ],
        "datePublic": "2026-03-26T23:56:53.579Z",
        "descriptions": [
          {
            "lang": "en",
            "value": "A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). Two model implementation files hardcode `trust_remote_code=True` when loading sub-components. This bypasses the user\u0027s explicit `--trust-remote-code=False` security opt-out, allowing a remote attacker to achieve remote code execution through malicious model repositories."
          }
        ],
        "metrics": [
          {
            "other": {
              "content": {
                "namespace": "https://access.redhat.com/security/updates/classification/",
                "value": "Important"
              },
              "type": "Red Hat severity rating"
            }
          },
          {
            "cvssV3_1": {
              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
              "availabilityImpact": "HIGH",
              "baseScore": 8.8,
              "baseSeverity": "HIGH",
              "confidentialityImpact": "HIGH",
              "integrityImpact": "HIGH",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "REQUIRED",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
              "version": "3.1"
            },
            "format": "CVSS"
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "cweId": "CWE-501",
                "description": "Trust Boundary Violation",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-06-30T12:08:03.040Z",
          "orgId": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
          "shortName": "redhat-SADP"
        },
        "references": [
          {
            "tags": [
              "vdb-entry",
              "x_refsource_REDHAT"
            ],
            "url": "https://access.redhat.com/security/cve/CVE-2026-27893"
          },
          {
            "name": "RHBZ#2452055",
            "tags": [
              "issue-tracking",
              "x_refsource_REDHAT"
            ],
            "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2452055"
          },
          {
            "tags": [
              "x_sadp-csaf-vex"
            ],
            "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-27893.json"
          },
          {
            "tags": [
              "vendor-advisory",
              "x_refsource_REDHAT"
            ],
            "url": "https://access.redhat.com/errata/RHSA-2026:19724"
          },
          {
            "tags": [
              "vendor-advisory",
              "x_refsource_REDHAT"
            ],
            "url": "https://access.redhat.com/errata/RHSA-2026:19725"
          },
          {
            "tags": [
              "vendor-advisory",
              "x_refsource_REDHAT"
            ],
            "url": "https://access.redhat.com/errata/RHSA-2026:8748"
          },
          {
            "tags": [
              "vendor-advisory",
              "x_refsource_REDHAT"
            ],
            "url": "https://access.redhat.com/errata/RHSA-2026:8746"
          },
          {
            "tags": [
              "vendor-advisory",
              "x_refsource_REDHAT"
            ],
            "url": "https://access.redhat.com/errata/RHSA-2026:8747"
          },
          {
            "tags": [
              "vendor-advisory",
              "x_refsource_REDHAT"
            ],
            "url": "https://access.redhat.com/errata/RHSA-2026:10140"
          },
          {
            "tags": [
              "vendor-advisory",
              "x_refsource_REDHAT"
            ],
            "url": "https://access.redhat.com/errata/RHSA-2026:10141"
          },
          {
            "tags": [
              "vendor-advisory",
              "x_refsource_REDHAT"
            ],
            "url": "https://access.redhat.com/errata/RHSA-2026:24977"
          },
          {
            "tags": [
              "vendor-advisory",
              "x_refsource_REDHAT"
            ],
            "url": "https://access.redhat.com/errata/RHSA-2026:19712"
          }
        ],
        "solutions": [
          {
            "lang": "en",
            "value": "RHSA-2026:19724: Red Hat AI Inference Server 3.2"
          },
          {
            "lang": "en",
            "value": "RHSA-2026:19725: Red Hat AI Inference Server 3.2"
          },
          {
            "lang": "en",
            "value": "RHSA-2026:8748: Red Hat AI Inference Server 3.3"
          },
          {
            "lang": "en",
            "value": "RHSA-2026:8746: Red Hat AI Inference Server 3.3"
          },
          {
            "lang": "en",
            "value": "RHSA-2026:8747: Red Hat AI Inference Server 3.3"
          },
          {
            "lang": "en",
            "value": "RHSA-2026:10140: Red Hat Enterprise Linux AI 3.3"
          },
          {
            "lang": "en",
            "value": "RHSA-2026:10141: Red Hat Enterprise Linux AI 3.3"
          },
          {
            "lang": "en",
            "value": "RHSA-2026:24977: Red Hat OpenShift AI 2.25"
          },
          {
            "lang": "en",
            "value": "RHSA-2026:19712: Red Hat OpenShift AI 3.3"
          }
        ],
        "timeline": [
          {
            "lang": "en",
            "time": "2026-03-27T00:01:43.935Z",
            "value": "Reported to Red Hat."
          },
          {
            "lang": "en",
            "time": "2026-03-26T23:56:53.579Z",
            "value": "Made public."
          }
        ],
        "title": "vllm: vLLM: Remote code execution due to hardcoded trust_remote_code setting",
        "workarounds": [
          {
            "lang": "en",
            "value": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability."
          }
        ],
        "x_adpType": "supplier",
        "x_generator": {
          "engine": "sadp-cli 1.0.0"
        }
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "vllm",
          "vendor": "vllm-project",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 0.10.1, \u003c 0.18.0"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.18.0, two model implementation files hardcode `trust_remote_code=True` when loading sub-components, bypassing the user\u0027s explicit `--trust-remote-code=False` security opt-out. This enables remote code execution via malicious model repositories even when the user has explicitly disabled remote code trust. Version 0.18.0 patches the issue."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-693",
              "description": "CWE-693: Protection Mechanism Failure",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-03-26T23:56:53.579Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59"
        },
        {
          "name": "https://github.com/vllm-project/vllm/pull/36192",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/vllm-project/vllm/pull/36192"
        },
        {
          "name": "https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72"
        }
      ],
      "source": {
        "advisory": "GHSA-7972-pg2x-xr59",
        "discovery": "UNKNOWN"
      },
      "title": "vLLM\u0027s hardcoded trust_remote_code=True in NemotronVL and KimiK25 bypasses user security opt-out"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-27893",
    "datePublished": "2026-03-26T23:56:53.579Z",
    "dateReserved": "2026-02-24T15:19:29.717Z",
    "dateUpdated": "2026-06-30T12:08:03.040Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2026-27893",
      "date": "2026-06-29",
      "epss": "0.00749",
      "percentile": "0.50296"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2026-27893\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2026-03-27T00:16:22.333\",\"lastModified\":\"2026-06-30T03:17:59.563\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.18.0, two model implementation files hardcode `trust_remote_code=True` when loading sub-components, bypassing the user\u0027s explicit `--trust-remote-code=False` security opt-out. This enables remote code execution via malicious model repositories even when the user has explicitly disabled remote code trust. Version 0.18.0 patches the issue.\"},{\"lang\":\"es\",\"value\":\"vLLM es un motor de inferencia y servicio para modelos de lenguaje grandes (LLM). A partir de la versi\u00f3n 0.10.1 y antes de la versi\u00f3n 0.18.0, dos archivos de implementaci\u00f3n de modelos codifican de forma r\u00edgida \u0027trust_remote_code=True\u0027 al cargar subcomponentes, eludiendo la exclusi\u00f3n voluntaria de seguridad expl\u00edcita del usuario \u0027--trust-remote-code=False\u0027. Esto permite la ejecuci\u00f3n remota de c\u00f3digo a trav\u00e9s de repositorios de modelos maliciosos incluso cuando el usuario ha deshabilitado expl\u00edcitamente la confianza en el c\u00f3digo remoto. La versi\u00f3n 0.18.0 corrige el problema.\"}],\"affected\":[{\"source\":\"security-advisories@github.com\",\"affectedData\":[{\"vendor\":\"vllm-project\",\"product\":\"vllm\",\"versions\":[{\"version\":\"\u003e= 0.10.1, \u003c 0.18.0\",\"status\":\"affected\"}]}]},{\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\",\"affectedData\":[{\"vendor\":\"Red Hat\",\"product\":\"Red Hat AI Inference Server 3.2\",\"defaultStatus\":\"affected\",\"cpes\":[\"cpe:/a:redhat:ai_inference_server:3.2::el9\"]},{\"vendor\":\"Red Hat\",\"product\":\"Red Hat AI Inference Server 3.3\",\"defaultStatus\":\"affected\",\"cpes\":[\"cpe:/a:redhat:ai_inference_server:3.3::el9\"]},{\"vendor\":\"Red Hat\",\"product\":\"Red Hat Enterprise Linux AI 3.3\",\"defaultStatus\":\"affected\",\"cpes\":[\"cpe:/a:redhat:enterprise_linux_ai:3.3::el9\"]},{\"vendor\":\"Red Hat\",\"product\":\"Red Hat OpenShift AI 2.25\",\"defaultStatus\":\"affected\",\"cpes\":[\"cpe:/a:redhat:openshift_ai:2.25::el9\"]},{\"vendor\":\"Red Hat\",\"product\":\"Red Hat OpenShift AI 3.3\",\"defaultStatus\":\"affected\",\"cpes\":[\"cpe:/a:redhat:openshift_ai:3.3::el9\"]},{\"vendor\":\"Red Hat\",\"product\":\"Red Hat AI Inference Server\",\"defaultStatus\":\"affected\",\"cpes\":[\"cpe:/a:redhat:ai_inference_server:3\"]},{\"vendor\":\"Red Hat\",\"product\":\"Red Hat OpenShift AI (RHOAI)\",\"defaultStatus\":\"affected\",\"cpes\":[\"cpe:/a:redhat:openshift_ai\"]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H\",\"baseScore\":8.8,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"REQUIRED\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":2.8,\"impactScore\":5.9},{\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H\",\"baseScore\":8.8,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"REQUIRED\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":2.8,\"impactScore\":5.9}],\"ssvcV203\":[{\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"ssvcData\":{\"timestamp\":\"2026-03-27T13:26:41.908182Z\",\"id\":\"CVE-2026-27893\",\"options\":[{\"exploitation\":\"none\"},{\"automatable\":\"no\"},{\"technicalImpact\":\"total\"}],\"role\":\"CISA Coordinator\",\"version\":\"2.0.3\"}}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-693\"}]},{\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-501\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"0.10.1\",\"versionEndExcluding\":\"0.18.0\",\"matchCriteriaId\":\"2130385B-68E6-4854-AC42-0CBA1F30B487\"}]}]}],\"references\":[{\"url\":\"https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Patch\"]},{\"url\":\"https://github.com/vllm-project/vllm/pull/36192\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Issue Tracking\"]},{\"url\":\"https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59\",\"source\":\"security-advisories@github.com\",\"tags\":[\"Vendor Advisory\"]},{\"url\":\"https://access.redhat.com/errata/RHSA-2026:10140\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"},{\"url\":\"https://access.redhat.com/errata/RHSA-2026:10141\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"},{\"url\":\"https://access.redhat.com/errata/RHSA-2026:19712\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"},{\"url\":\"https://access.redhat.com/errata/RHSA-2026:19724\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"},{\"url\":\"https://access.redhat.com/errata/RHSA-2026:19725\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"},{\"url\":\"https://access.redhat.com/errata/RHSA-2026:24977\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"},{\"url\":\"https://access.redhat.com/errata/RHSA-2026:8746\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"},{\"url\":\"https://access.redhat.com/errata/RHSA-2026:8747\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"},{\"url\":\"https://access.redhat.com/errata/RHSA-2026:8748\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"},{\"url\":\"https://access.redhat.com/security/cve/CVE-2026-27893\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"},{\"url\":\"https://bugzilla.redhat.com/show_bug.cgi?id=2452055\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"},{\"url\":\"https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-27893.json\",\"source\":\"0b0ca135-0b70-47e7-9f44-1890c2a1c46c\"}]}}",
    "vulnrichment": {
      "containers": "{\"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2026-27893\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"total\"}], \"version\": \"2.0.3\", \"timestamp\": \"2026-03-27T13:26:41.908182Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2026-03-27T13:26:45.730Z\"}}], \"cna\": {\"title\": \"vLLM\u0027s hardcoded trust_remote_code=True in NemotronVL and KimiK25 bypasses user security opt-out\", \"source\": {\"advisory\": \"GHSA-7972-pg2x-xr59\", \"discovery\": \"UNKNOWN\"}, \"metrics\": [{\"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 8.8, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"HIGH\", \"vectorString\": \"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H\", \"integrityImpact\": \"HIGH\", \"userInteraction\": \"REQUIRED\", \"attackComplexity\": \"LOW\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"HIGH\"}}], \"affected\": [{\"vendor\": \"vllm-project\", \"product\": \"vllm\", \"versions\": [{\"status\": \"affected\", \"version\": \"\u003e= 0.10.1, \u003c 0.18.0\"}]}], \"references\": [{\"url\": \"https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59\", \"name\": \"https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59\", \"tags\": [\"x_refsource_CONFIRM\"]}, {\"url\": \"https://github.com/vllm-project/vllm/pull/36192\", \"name\": \"https://github.com/vllm-project/vllm/pull/36192\", \"tags\": [\"x_refsource_MISC\"]}, {\"url\": \"https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72\", \"name\": \"https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72\", \"tags\": [\"x_refsource_MISC\"]}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.18.0, two model implementation files hardcode `trust_remote_code=True` when loading sub-components, bypassing the user\u0027s explicit `--trust-remote-code=False` security opt-out. This enables remote code execution via malicious model repositories even when the user has explicitly disabled remote code trust. Version 0.18.0 patches the issue.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-693\", \"description\": \"CWE-693: Protection Mechanism Failure\"}]}], \"providerMetadata\": {\"orgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"shortName\": \"GitHub_M\", \"dateUpdated\": \"2026-03-26T23:56:53.579Z\"}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2026-27893\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2026-03-27T13:52:33.526Z\", \"dateReserved\": \"2026-02-24T15:19:29.717Z\", \"assignerOrgId\": \"a0819718-46f1-4df5-94e2-005712e83aaa\", \"datePublished\": \"2026-03-26T23:56:53.579Z\", \"assignerShortName\": \"GitHub_M\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}


Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.


Detection rules are retrieved from Rulezet.