Publish Advisories

GHSA-43c4-9qgj-x742
GHSA-76cg-cfhx-373f
GHSA-7p8j-qv6x-f4g4
GHSA-ghv6-9r9j-wh4j
GHSA-j8mg-pqc5-x9gj
GHSA-x38x-g6gr-jqff
This commit is contained in:
advisory-database[bot]
2024-06-05 13:19:14 +00:00
parent 58e5db9d51
commit 54fc4b5bfb
6 changed files with 162 additions and 24 deletions
@@ -1,11 +1,12 @@
{
"schema_version": "1.4.0",
"id": "GHSA-43c4-9qgj-x742",
"modified": "2024-06-04T12:31:04Z",
"modified": "2024-06-05T13:17:49Z",
"published": "2024-06-04T12:31:04Z",
"aliases": [
"CVE-2024-37053"
],
"summary": "MLFlow unsafe deserialization",
"details": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end users system when interacted with.",
"severity": [
{
@@ -14,13 +15,35 @@
}
],
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "mlflow"
},
"ranges": [
{
"type": "ECOSYSTEM",
"events": [
{
"introduced": "1.1.0"
},
{
"last_affected": "2.13.1"
}
]
}
]
}
],
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37053"
},
{
"type": "PACKAGE",
"url": "https://github.com/mlflow/mlflow"
},
{
"type": "WEB",
"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
@@ -31,8 +54,8 @@
"CWE-502"
],
"severity": "HIGH",
"github_reviewed": false,
"github_reviewed_at": null,
"github_reviewed": true,
"github_reviewed_at": "2024-06-05T13:17:49Z",
"nvd_published_at": "2024-06-04T12:15:10Z"
}
}
@@ -1,11 +1,12 @@
{
"schema_version": "1.4.0",
"id": "GHSA-76cg-cfhx-373f",
"modified": "2024-06-04T12:31:04Z",
"modified": "2024-06-05T13:18:30Z",
"published": "2024-06-04T12:31:04Z",
"aliases": [
"CVE-2024-37052"
],
"summary": "MLFlow unsafe deserialization",
"details": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end users system when interacted with.",
"severity": [
{
@@ -14,13 +15,35 @@
}
],
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "mlflow"
},
"ranges": [
{
"type": "ECOSYSTEM",
"events": [
{
"introduced": "1.1.0"
},
{
"last_affected": "2.13.1"
}
]
}
]
}
],
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37052"
},
{
"type": "PACKAGE",
"url": "https://github.com/mlflow/mlflow"
},
{
"type": "WEB",
"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
@@ -31,8 +54,8 @@
"CWE-502"
],
"severity": "HIGH",
"github_reviewed": false,
"github_reviewed_at": null,
"github_reviewed": true,
"github_reviewed_at": "2024-06-05T13:18:30Z",
"nvd_published_at": "2024-06-04T12:15:10Z"
}
}
@@ -1,11 +1,12 @@
{
"schema_version": "1.4.0",
"id": "GHSA-7p8j-qv6x-f4g4",
"modified": "2024-06-04T12:31:04Z",
"modified": "2024-06-05T13:18:19Z",
"published": "2024-06-04T12:31:04Z",
"aliases": [
"CVE-2024-37056"
],
"summary": "MLFlow unsafe deserialization",
"details": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end users system when interacted with.",
"severity": [
{
@@ -14,13 +15,35 @@
}
],
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "mlflow"
},
"ranges": [
{
"type": "ECOSYSTEM",
"events": [
{
"introduced": "1.23.0"
},
{
"last_affected": "2.13.1"
}
]
}
]
}
],
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37056"
},
{
"type": "PACKAGE",
"url": "https://github.com/mlflow/mlflow"
},
{
"type": "WEB",
"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
@@ -31,8 +54,8 @@
"CWE-502"
],
"severity": "HIGH",
"github_reviewed": false,
"github_reviewed_at": null,
"github_reviewed": true,
"github_reviewed_at": "2024-06-05T13:18:19Z",
"nvd_published_at": "2024-06-04T12:15:11Z"
}
}
@@ -1,11 +1,12 @@
{
"schema_version": "1.4.0",
"id": "GHSA-ghv6-9r9j-wh4j",
"modified": "2024-06-04T12:31:04Z",
"modified": "2024-06-05T13:17:58Z",
"published": "2024-06-04T12:31:04Z",
"aliases": [
"CVE-2024-37054"
],
"summary": "MLFlow unsafe deserialization",
"details": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end users system when interacted with.",
"severity": [
{
@@ -14,13 +15,35 @@
}
],
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "mlflow"
},
"ranges": [
{
"type": "ECOSYSTEM",
"events": [
{
"introduced": "0.9.0"
},
{
"last_affected": "2.13.1"
}
]
}
]
}
],
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37054"
},
{
"type": "PACKAGE",
"url": "https://github.com/mlflow/mlflow"
},
{
"type": "WEB",
"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
@@ -31,8 +54,8 @@
"CWE-502"
],
"severity": "HIGH",
"github_reviewed": false,
"github_reviewed_at": null,
"github_reviewed": true,
"github_reviewed_at": "2024-06-05T13:17:58Z",
"nvd_published_at": "2024-06-04T12:15:11Z"
}
}
@@ -1,11 +1,12 @@
{
"schema_version": "1.4.0",
"id": "GHSA-j8mg-pqc5-x9gj",
"modified": "2024-06-04T12:31:05Z",
"modified": "2024-06-05T13:18:38Z",
"published": "2024-06-04T12:31:05Z",
"aliases": [
"CVE-2024-37057"
],
"summary": "MLFlow unsafe deserialization",
"details": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end users system when interacted with.",
"severity": [
{
@@ -14,13 +15,35 @@
}
],
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "mlflow"
},
"ranges": [
{
"type": "ECOSYSTEM",
"events": [
{
"introduced": "2.0.0rc0"
},
{
"last_affected": "2.13.1"
}
]
}
]
}
],
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37057"
},
{
"type": "PACKAGE",
"url": "https://github.com/mlflow/mlflow"
},
{
"type": "WEB",
"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
@@ -31,8 +54,8 @@
"CWE-502"
],
"severity": "HIGH",
"github_reviewed": false,
"github_reviewed_at": null,
"github_reviewed": true,
"github_reviewed_at": "2024-06-05T13:18:38Z",
"nvd_published_at": "2024-06-04T12:15:11Z"
}
}
@@ -1,11 +1,12 @@
{
"schema_version": "1.4.0",
"id": "GHSA-x38x-g6gr-jqff",
"modified": "2024-06-04T12:31:04Z",
"modified": "2024-06-05T13:18:08Z",
"published": "2024-06-04T12:31:04Z",
"aliases": [
"CVE-2024-37055"
],
"summary": "MLFlow unsafe deserialization",
"details": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end users system when interacted with.",
"severity": [
{
@@ -14,13 +15,35 @@
}
],
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "mlflow"
},
"ranges": [
{
"type": "ECOSYSTEM",
"events": [
{
"introduced": "1.24.0"
},
{
"last_affected": "2.13.1"
}
]
}
]
}
],
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37055"
},
{
"type": "PACKAGE",
"url": "https://github.com/mlflow/mlflow"
},
{
"type": "WEB",
"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
@@ -31,8 +54,8 @@
"CWE-502"
],
"severity": "HIGH",
"github_reviewed": false,
"github_reviewed_at": null,
"github_reviewed": true,
"github_reviewed_at": "2024-06-05T13:18:08Z",
"nvd_published_at": "2024-06-04T12:15:11Z"
}
}