GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CVE-2026-19407 (GCVE-0-2026-19407)

Vulnerability from cvelistv5 – Published: 2026-09-15 15:22 – Updated: 2026-09-17 09:34
VLAI
Title
GCS Bucket Squatting leading to RCE in Gemini Enterprise Agent Platform Python SDK
Summary
Bucket Squatting in Google Cloud Gemini Enterprise Agent Platform SDK for Python versions prior to 1.166.1 allows an attacker to achieve Remote Code Execution (RCE) and tenant-project token theft.
CWE
  • CWE-330 - Use of Insufficiently Random Values
Impacted products
Vendor Product Version CPE status
Google Cloud Gemini Enterprise Agent Platform SDK for Python Affected: 1.16.0 , < 1.165.1 (custom)
guessed Create a notification for this product.
Credits
Show details on NVD website

{
  "containers": {
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "Gemini Enterprise Agent Platform SDK for Python",
          "vendor": "Google Cloud",
          "versions": [
            {
              "lessThan": "1.165.1",
              "status": "affected",
              "version": "1.16.0",
              "versionType": "custom"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "reporter",
          "value": "Ori Hadad"
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "\u003cp\u003eBucket Squatting in Google Cloud Gemini Enterprise Agent Platform SDK for Python versions prior to 1.166.1 allows an attacker to achieve Remote Code Execution (RCE) and tenant-project token theft.\u003c/p\u003e"
            }
          ],
          "value": "Bucket Squatting in Google Cloud Gemini Enterprise Agent Platform SDK for Python versions prior to 1.166.1 allows an attacker to achieve Remote Code Execution (RCE) and tenant-project token theft."
        }
      ],
      "impacts": [
        {
          "capecId": "CAPEC-154",
          "descriptions": [
            {
              "lang": "en",
              "value": "CAPEC-154 Resource Location Spoofing"
            }
          ]
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "Automatable": "NOT_DEFINED",
            "Recovery": "NOT_DEFINED",
            "Safety": "NOT_DEFINED",
            "attackComplexity": "LOW",
            "attackRequirements": "PRESENT",
            "attackVector": "NETWORK",
            "baseScore": 7.7,
            "baseSeverity": "HIGH",
            "exploitMaturity": "NOT_DEFINED",
            "privilegesRequired": "NONE",
            "providerUrgency": "CLEAR",
            "subAvailabilityImpact": "LOW",
            "subConfidentialityImpact": "LOW",
            "subIntegrityImpact": "LOW",
            "userInteraction": "PASSIVE",
            "valueDensity": "NOT_DEFINED",
            "vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:L/SI:L/SA:L/U:Clear",
            "version": "4.0",
            "vulnAvailabilityImpact": "HIGH",
            "vulnConfidentialityImpact": "HIGH",
            "vulnIntegrityImpact": "HIGH",
            "vulnerabilityResponseEffort": "NOT_DEFINED"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-330",
              "description": "CWE-330 Use of Insufficiently Random Values",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-09-17T09:34:14.041Z",
        "orgId": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
        "shortName": "GoogleCloud"
      },
      "references": [
        {
          "url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/release-notes#March_31_2026"
        }
      ],
      "solutions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "Users of the\u0026nbsp;\u003ccode\u003e\u003cb\u003egoogle-cloud-aiplatform\u003c/b\u003e\u003c/code\u003e\u0026nbsp;SDK should upgrade to version 1.165.1 or later, or ensure that an explicit\u0026nbsp;\u003ccode\u003e\u003cb\u003estaging_bucket\u003c/b\u003e\u003c/code\u003e\u0026nbsp;belonging to their project is specified when calling\u0026nbsp;\u003ccode\u003e\u003cb\u003eModel.upload()\u003c/b\u003e\u003c/code\u003e."
            }
          ],
          "value": "Users of the\u00a0google-cloud-aiplatform\u00a0SDK should upgrade to version 1.165.1 or later, or ensure that an explicit\u00a0staging_bucket\u00a0belonging to their project is specified when calling\u00a0Model.upload()."
        }
      ],
      "source": {
        "discovery": "EXTERNAL"
      },
      "title": "GCS Bucket Squatting leading to RCE in Gemini Enterprise Agent Platform Python SDK",
      "x_generator": {
        "engine": "Vulnogram 1.0.2"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
    "assignerShortName": "GoogleCloud",
    "cveId": "CVE-2026-19407",
    "datePublished": "2026-09-15T15:22:29.905Z",
    "dateReserved": "2026-08-10T08:36:31.688Z",
    "dateUpdated": "2026-09-17T09:34:14.041Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2026-19407",
      "date": "2026-09-20",
      "epss": "0.00521",
      "percentile": "0.43213"
    },
    "nvd": {
      "cve": {
        "affected": [
          {
            "affectedData": [
              {
                "defaultStatus": "unaffected",
                "product": "Gemini Enterprise Agent Platform SDK for Python",
                "vendor": "Google Cloud",
                "versions": [
                  {
                    "lessThan": "1.165.1",
                    "status": "affected",
                    "version": "1.16.0",
                    "versionType": "custom"
                  }
                ]
              }
            ],
            "source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c"
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "Bucket Squatting in Google Cloud Gemini Enterprise Agent Platform SDK for Python versions prior to 1.166.1 allows an attacker to achieve Remote Code Execution (RCE) and tenant-project token theft."
          }
        ],
        "id": "CVE-2026-19407",
        "lastModified": "2026-09-16T19:24:44.153",
        "metrics": {
          "cvssMetricV40": [
            {
              "cvssData": {
                "Automatable": "NOT_DEFINED",
                "Recovery": "NOT_DEFINED",
                "Safety": "NOT_DEFINED",
                "attackComplexity": "LOW",
                "attackRequirements": "PRESENT",
                "attackVector": "NETWORK",
                "availabilityRequirement": "NOT_DEFINED",
                "baseScore": 7.7,
                "baseSeverity": "HIGH",
                "confidentialityRequirement": "NOT_DEFINED",
                "exploitMaturity": "NOT_DEFINED",
                "integrityRequirement": "NOT_DEFINED",
                "modifiedAttackComplexity": "NOT_DEFINED",
                "modifiedAttackRequirements": "NOT_DEFINED",
                "modifiedAttackVector": "NOT_DEFINED",
                "modifiedPrivilegesRequired": "NOT_DEFINED",
                "modifiedSubAvailabilityImpact": "NOT_DEFINED",
                "modifiedSubConfidentialityImpact": "NOT_DEFINED",
                "modifiedSubIntegrityImpact": "NOT_DEFINED",
                "modifiedUserInteraction": "NOT_DEFINED",
                "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
                "modifiedVulnConfidentialityImpact": "NOT_DEFINED",
                "modifiedVulnIntegrityImpact": "NOT_DEFINED",
                "privilegesRequired": "NONE",
                "providerUrgency": "CLEAR",
                "subAvailabilityImpact": "LOW",
                "subConfidentialityImpact": "LOW",
                "subIntegrityImpact": "LOW",
                "userInteraction": "PASSIVE",
                "valueDensity": "NOT_DEFINED",
                "vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:L/SI:L/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:Clear",
                "version": "4.0",
                "vulnAvailabilityImpact": "HIGH",
                "vulnConfidentialityImpact": "HIGH",
                "vulnIntegrityImpact": "HIGH",
                "vulnerabilityResponseEffort": "NOT_DEFINED"
              },
              "source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
              "type": "Secondary"
            }
          ]
        },
        "published": "2026-09-15T16:17:08.380",
        "references": [
          {
            "source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
            "url": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/release-notes#March_31_2026"
          }
        ],
        "sourceIdentifier": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
        "vulnStatus": "Awaiting Analysis",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-330"
              }
            ],
            "source": "f45cbf4e-4146-4068-b7e1-655ffc2c548c",
            "type": "Secondary"
          }
        ]
      }
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


Loading…