Vulnerability-Lookup

CVE-2026-4035 (GCVE-0-2026-4035)

Vulnerability from cvelistv5 – Published: 2026-06-03 07:18 – Updated: 2026-08-14 12:04

Title

Environment Variable Resolution Vulnerability in mlflow/mlflow

Summary

A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.

Severity

9.1 (Critical)


                        
                          CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:L

7.7 (High)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-06-03 13:10 UTC

CWE

CWE-201 - Insertion of Sensitive Information Into Sent Data

Assigner

@huntr_ai mitre root

References

5 references

URL	Tags
https://huntr.com/bounties/f8e591a0-0f19-4910-b82…
https://github.com/mlflow/mlflow/commit/4a3f2f720…
https://access.redhat.com/security/cve/CVE-2026-4035	vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2484318	issue-trackingx_refsource_REDHAT
https://security.access.redhat.com/data/csaf/v2/v…	x_sadp-csaf-vex

Impacted products

2 products

Vendor	Product	Version	CPE status
mlflow	mlflow/mlflow	Affected: unspecified , < 3.11.0 (custom)	guessed
Red Hat	Red Hat OpenShift AI (RHOAI)	cpe:/a:redhat:openshift_ai

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bit-mlflow-2026-4035

Vulnerability from bitnami_vulndb

Published

2026-06-05 08:52

Modified

2026-09-10 15:46

Summary

Environment Variable Resolution Vulnerability in mlflow/mlflow

Details

A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the api_key field in gateway secrets can accept $ENV_VAR references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream api_base. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without basic-auth. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "mlflow",
        "purl": "pkg:bitnami/mlflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.11.0"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:L",
          "type": "CVSS_V3"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-4035"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*"
    ],
    "severity": "Critical"
  },
  "details": "A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server\u0027s environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.",
  "id": "BIT-mlflow-2026-4035",
  "modified": "2026-09-10T15:46:03.895Z",
  "published": "2026-06-05T08:52:23.138Z",
  "references": [
    {
      "type": "FIX",
      "url": "https://github.com/mlflow/mlflow/commit/4a3f2f720cb4f058c9e0c5b883e0acc9ab64a7f3"
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    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-4035"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-4035"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2484318"
    },
    {
      "type": "WEB",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-4035.json"
    }
  ],
  "schema_version": "1.6.2",
  "summary": "Environment Variable Resolution Vulnerability in mlflow/mlflow"
}

FKIE_CVE-2026-4035

Vulnerability from fkie_nvd - Published: 2026-06-03 09:16 - Updated: 2026-08-14 13:19

Severity

7.7 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N
7.7 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N

Summary

References

URL	Tags
security@huntr.dev	https://github.com/mlflow/mlflow/commit/4a3f2f720cb4f058c9e0c5b883e0acc9ab64a7f3	Patch
security@huntr.dev	https://huntr.com/bounties/f8e591a0-0f19-4910-b82e-16c9956f2233	Exploit, Third Party Advisory
0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://access.redhat.com/security/cve/CVE-2026-4035
0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://bugzilla.redhat.com/show_bug.cgi?id=2484318
134c704f-9b21-4f2e-91b3-4a467353bcc0	https://huntr.com/bounties/f8e591a0-0f19-4910-b82e-16c9956f2233	Exploit, Third Party Advisory
0b0ca135-0b70-47e7-9f44-1890c2a1c46c	https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-4035.json

Impacted products

	Vendor	Product	Version
	lfprojects	mlflow	*

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "mlflow/mlflow",
          "vendor": "mlflow",
          "versions": [
            {
              "lessThan": "3.11.0",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
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          ]
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      "source": "security@huntr.dev"
    },
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          "packageName": "rhoai/odh-mlflow-rhel9",
          "product": "Red Hat OpenShift AI (RHOAI)",
          "vendor": "Red Hat"
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          "cpes": [
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          "defaultStatus": "unaffected",
          "packageName": "rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9",
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          "vendor": "Red Hat"
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          "vendor": "Red Hat"
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            "cpe:/a:redhat:openshift_ai"
          ],
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          "packageName": "rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9",
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          "vendor": "Red Hat"
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          "vendor": "Red Hat"
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          "vendor": "Red Hat"
        },
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          "packageName": "rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9",
          "product": "Red Hat OpenShift AI (RHOAI)",
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          "vendor": "Red Hat"
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          "product": "Red Hat OpenShift AI (RHOAI)",
          "vendor": "Red Hat"
        }
      ],
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "6EFB4C88-58E2-416A-95A7-FA6C4CDF4288",
              "versionEndExcluding": "3.11.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server\u0027s environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0."
    },
    {
      "lang": "es",
      "value": "Una vulnerabilidad en las versiones de mlflow/mlflow anteriores a la 3.11.0 permite la resoluci\u00f3n de variables de entorno en secretos de AI Gateway, lo que puede ser explotado para exfiltrar credenciales de entorno sensibles del lado del servidor a un punto final controlado por un atacante. Este problema surge porque el campo \u0027api_key\u0027 en los secretos del gateway puede aceptar referencias a \u0027$ENV_VAR\u0027, que se resuelven contra el entorno del servidor de MLflow durante el tiempo de ejecuci\u00f3n. Los secretos resueltos se env\u00edan entonces en los encabezados de autenticaci\u00f3n del proveedor al \u0027api_base\u0027 ascendente configurado. Esta vulnerabilidad puede ser explotada por usuarios autenticados con bajos privilegios en implementaciones con \u0027basic-auth\u0027 o por usuarios no autenticados en implementaciones predeterminadas sin \u0027basic-auth\u0027. El impacto incluye la posible fuga de credenciales sensibles, como credenciales de artefactos en la nube (\u0027AWS_ACCESS_KEY_ID\u0027, \u0027AWS_SECRET_ACCESS_KEY\u0027), lo que podr\u00eda llevar al envenenamiento de artefactos y a la ejecuci\u00f3n de c\u00f3digo transfronteriza en entornos descendentes. El problema est\u00e1 solucionado en la versi\u00f3n 3.11.0."
    }
  ],
  "id": "CVE-2026-4035",
  "lastModified": "2026-08-14T13:19:00.193",
  "metrics": {
    "cvssMetricV30": [
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        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 9.1,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "LOW",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "NONE",
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          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "NONE",
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          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N",
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          "options": [
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            {
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          "role": "CISA Coordinator",
          "timestamp": "2026-06-03T13:10:20.303201Z",
          "version": "2.0.3"
        }
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  "references": [
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      "tags": [
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      "url": "https://github.com/mlflow/mlflow/commit/4a3f2f720cb4f058c9e0c5b883e0acc9ab64a7f3"
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}

GHSA-G35P-PX32-WHV6

Vulnerability from github – Published: 2026-06-03 09:30 – Updated: 2026-07-10 19:31

Summary

MLflow: Environment variable injection in AI Gateway secrets enables server-side credential exfiltration

Details

A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the api_key field in gateway secrets can accept $ENV_VAR references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream api_base. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without basic-auth. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.

Severity

9.1 (Critical)


                  
                    CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:L

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "mlflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.11.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-4035"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-201"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-07-10T19:31:54Z",
    "nvd_published_at": "2026-06-03T09:16:13Z",
    "severity": "CRITICAL"
  },
  "details": "A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server\u0027s environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.",
  "id": "GHSA-g35p-px32-whv6",
  "modified": "2026-07-10T19:31:54Z",
  "published": "2026-06-03T09:30:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-4035"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mlflow/mlflow/commit/4a3f2f720cb4f058c9e0c5b883e0acc9ab64a7f3"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-4035"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2484318"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mlflow/mlflow"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/f8e591a0-0f19-4910-b82e-16c9956f2233"
    },
    {
      "type": "WEB",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-4035.json"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:L",
      "type": "CVSS_V3"
    }
  ],
  "summary": "MLflow: Environment variable injection in AI Gateway secrets enables server-side credential exfiltration"
}

PYSEC-2026-2222

Vulnerability from pysec - Published: 2026-06-03 09:16 - Updated: 2026-07-13 05:49

Details

A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the api_key field in gateway secrets can accept $ENV_VAR references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream api_base. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without basic-auth. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.

Severity

7.7 (High)


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

Impacted products

Name	purl
mlflow	pkg:pypi/mlflow

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "ecosystem_specific": {},
      "package": {
        "ecosystem": "PyPI",
        "name": "mlflow",
        "purl": "pkg:pypi/mlflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.11.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.0.1",
        "0.1.0",
        "0.2.0",
        "0.2.1",
        "0.3.0",
        "0.4.0",
        "0.4.1",
        "0.4.2",
        "0.5.0",
        "0.5.1",
        "0.5.2",
        "0.6.0",
        "0.7.0",
        "0.8.0",
        "0.8.1",
        "0.8.2",
        "0.9.0",
        "0.9.0.1",
        "0.9.1",
        "1.0.0",
        "1.1.0",
        "1.1.1.dev0",
        "1.10.0",
        "1.11.0",
        "1.12.0",
        "1.12.1",
        "1.13",
        "1.13.1",
        "1.14.0",
        "1.14.1",
        "1.15.0",
        "1.16.0",
        "1.17.0",
        "1.18.0",
        "1.19.0",
        "1.2.0",
        "1.20.0",
        "1.20.1",
        "1.20.2",
        "1.21.0",
        "1.22.0",
        "1.23.0",
        "1.23.1",
        "1.24.0",
        "1.25.0",
        "1.25.1",
        "1.26.0",
        "1.26.1",
        "1.27.0",
        "1.28.0",
        "1.29.0",
        "1.3.0",
        "1.30.0",
        "1.30.1",
        "1.4.0",
        "1.5.0",
        "1.6.0",
        "1.7.0",
        "1.7.1",
        "1.7.2",
        "1.8.0",
        "1.9.0",
        "1.9.1",
        "2.0.0",
        "2.0.0rc0",
        "2.0.1",
        "2.1.0",
        "2.1.1",
        "2.10.0",
        "2.10.1",
        "2.10.2",
        "2.11.0",
        "2.11.1",
        "2.11.2",
        "2.11.3",
        "2.11.4",
        "2.12.0",
        "2.12.1",
        "2.12.2",
        "2.13.0",
        "2.13.1",
        "2.13.2",
        "2.14.0",
        "2.14.0rc0",
        "2.14.1",
        "2.14.2",
        "2.14.2.dev0",
        "2.14.3",
        "2.15.0",
        "2.15.0rc0",
        "2.15.1",
        "2.16.0",
        "2.16.1",
        "2.16.2",
        "2.17.0",
        "2.17.0rc0",
        "2.17.1",
        "2.17.2",
        "2.18.0",
        "2.18.0rc0",
        "2.19.0",
        "2.19.0rc0",
        "2.2.0",
        "2.2.1",
        "2.2.2",
        "2.20.0",
        "2.20.0rc0",
        "2.20.1",
        "2.20.2",
        "2.20.3",
        "2.20.4",
        "2.21.0",
        "2.21.0rc0",
        "2.21.1",
        "2.21.2",
        "2.21.3",
        "2.22.0",
        "2.22.0rc0",
        "2.22.1",
        "2.22.2",
        "2.22.3",
        "2.22.4",
        "2.22.5",
        "2.3.0",
        "2.3.1",
        "2.3.2",
        "2.4.0",
        "2.4.1",
        "2.4.2",
        "2.5.0",
        "2.6.0",
        "2.7.0",
        "2.7.1",
        "2.8.0",
        "2.8.1",
        "2.9.0",
        "2.9.1",
        "2.9.2",
        "3.0.0",
        "3.0.0rc0",
        "3.0.0rc1",
        "3.0.0rc2",
        "3.0.0rc3",
        "3.0.1",
        "3.1.0",
        "3.1.0rc0",
        "3.1.1",
        "3.1.2",
        "3.1.3",
        "3.1.4",
        "3.10.0",
        "3.10.0rc0",
        "3.10.1",
        "3.11.0rc0",
        "3.11.0rc1",
        "3.2.0",
        "3.2.0rc0",
        "3.3.0",
        "3.3.0rc0",
        "3.3.1",
        "3.3.2",
        "3.4.0",
        "3.4.0rc0",
        "3.5.0",
        "3.5.0rc0",
        "3.5.1",
        "3.6.0",
        "3.6.0rc0",
        "3.7.0",
        "3.7.0rc0",
        "3.8.0",
        "3.8.0rc0",
        "3.8.1",
        "3.9.0",
        "3.9.0rc0"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-4035",
    "GHSA-g35p-px32-whv6"
  ],
  "details": "A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server\u0027s environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.",
  "id": "PYSEC-2026-2222",
  "modified": "2026-07-13T05:49:59.359013Z",
  "published": "2026-06-03T09:16:13.083Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-4035"
    },
    {
      "type": "WEB",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-4035.json"
    },
    {
      "type": "REPORT",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2484318"
    },
    {
      "type": "FIX",
      "url": "https://github.com/mlflow/mlflow/commit/4a3f2f720cb4f058c9e0c5b883e0acc9ab64a7f3"
    },
    {
      "type": "EVIDENCE",
      "url": "https://huntr.com/bounties/f8e591a0-0f19-4910-b82e-16c9956f2233"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-g35p-px32-whv6"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

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.

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.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.

Action not permitted

CVE-2026-4035 (GCVE-0-2026-4035)

bit-mlflow-2026-4035

Vulnerability from bitnami_vulndb

FKIE_CVE-2026-4035

GHSA-G35P-PX32-WHV6

PYSEC-2026-2222

Tags

Sightings

Nomenclature

Related by attack behaviour