mirror of
https://github.com/netbirdio/advisory-database.git
synced 2026-05-22 18:04:22 -07:00
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:
+27
-4
@@ -1,11 +1,12 @@
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{
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"schema_version": "1.4.0",
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"id": "GHSA-43c4-9qgj-x742",
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"modified": "2024-06-04T12:31:04Z",
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"modified": "2024-06-05T13:17:49Z",
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"published": "2024-06-04T12:31:04Z",
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"aliases": [
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"CVE-2024-37053"
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],
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"summary": "MLFlow unsafe deserialization",
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"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 user’s system when interacted with.",
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"severity": [
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{
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@@ -14,13 +15,35 @@
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}
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],
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"affected": [
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{
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"package": {
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"ecosystem": "PyPI",
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"name": "mlflow"
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},
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"ranges": [
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{
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"type": "ECOSYSTEM",
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"events": [
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{
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"introduced": "1.1.0"
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},
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{
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"last_affected": "2.13.1"
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}
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]
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}
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]
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}
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],
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"references": [
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{
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"type": "ADVISORY",
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"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37053"
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},
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{
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"type": "PACKAGE",
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"url": "https://github.com/mlflow/mlflow"
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},
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{
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"type": "WEB",
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"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
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@@ -31,8 +54,8 @@
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"CWE-502"
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],
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"severity": "HIGH",
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"github_reviewed": false,
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"github_reviewed_at": null,
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"github_reviewed": true,
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"github_reviewed_at": "2024-06-05T13:17:49Z",
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"nvd_published_at": "2024-06-04T12:15:10Z"
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}
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}
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+27
-4
@@ -1,11 +1,12 @@
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{
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"schema_version": "1.4.0",
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"id": "GHSA-76cg-cfhx-373f",
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"modified": "2024-06-04T12:31:04Z",
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"modified": "2024-06-05T13:18:30Z",
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"published": "2024-06-04T12:31:04Z",
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"aliases": [
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"CVE-2024-37052"
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],
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"summary": "MLFlow unsafe deserialization",
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"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 user’s system when interacted with.",
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"severity": [
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{
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@@ -14,13 +15,35 @@
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}
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],
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"affected": [
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{
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"package": {
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"ecosystem": "PyPI",
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"name": "mlflow"
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},
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"ranges": [
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{
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"type": "ECOSYSTEM",
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"events": [
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{
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"introduced": "1.1.0"
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},
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{
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"last_affected": "2.13.1"
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}
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]
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}
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]
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}
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],
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"references": [
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{
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"type": "ADVISORY",
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"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37052"
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},
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{
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"type": "PACKAGE",
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"url": "https://github.com/mlflow/mlflow"
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},
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{
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"type": "WEB",
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"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
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@@ -31,8 +54,8 @@
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"CWE-502"
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],
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"severity": "HIGH",
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"github_reviewed": false,
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"github_reviewed_at": null,
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"github_reviewed": true,
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"github_reviewed_at": "2024-06-05T13:18:30Z",
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"nvd_published_at": "2024-06-04T12:15:10Z"
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}
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}
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+27
-4
@@ -1,11 +1,12 @@
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{
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"schema_version": "1.4.0",
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"id": "GHSA-7p8j-qv6x-f4g4",
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"modified": "2024-06-04T12:31:04Z",
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"modified": "2024-06-05T13:18:19Z",
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"published": "2024-06-04T12:31:04Z",
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"aliases": [
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"CVE-2024-37056"
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],
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"summary": "MLFlow unsafe deserialization",
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"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 user’s system when interacted with.",
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"severity": [
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{
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@@ -14,13 +15,35 @@
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}
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],
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"affected": [
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{
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"package": {
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"ecosystem": "PyPI",
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"name": "mlflow"
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},
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"ranges": [
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{
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"type": "ECOSYSTEM",
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"events": [
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{
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"introduced": "1.23.0"
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},
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{
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"last_affected": "2.13.1"
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}
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]
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}
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]
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}
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],
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"references": [
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{
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"type": "ADVISORY",
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"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37056"
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},
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{
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"type": "PACKAGE",
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"url": "https://github.com/mlflow/mlflow"
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},
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{
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"type": "WEB",
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"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
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@@ -31,8 +54,8 @@
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"CWE-502"
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],
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"severity": "HIGH",
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"github_reviewed": false,
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"github_reviewed_at": null,
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"github_reviewed": true,
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"github_reviewed_at": "2024-06-05T13:18:19Z",
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"nvd_published_at": "2024-06-04T12:15:11Z"
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}
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}
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+27
-4
@@ -1,11 +1,12 @@
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{
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"schema_version": "1.4.0",
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"id": "GHSA-ghv6-9r9j-wh4j",
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"modified": "2024-06-04T12:31:04Z",
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"modified": "2024-06-05T13:17:58Z",
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"published": "2024-06-04T12:31:04Z",
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"aliases": [
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"CVE-2024-37054"
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],
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"summary": "MLFlow unsafe deserialization",
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"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 user’s system when interacted with.",
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"severity": [
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{
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@@ -14,13 +15,35 @@
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}
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],
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"affected": [
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{
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"package": {
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"ecosystem": "PyPI",
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"name": "mlflow"
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},
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"ranges": [
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{
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"type": "ECOSYSTEM",
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"events": [
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{
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"introduced": "0.9.0"
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},
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{
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"last_affected": "2.13.1"
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}
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]
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}
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]
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}
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],
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"references": [
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{
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"type": "ADVISORY",
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"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37054"
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},
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{
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"type": "PACKAGE",
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"url": "https://github.com/mlflow/mlflow"
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},
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{
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"type": "WEB",
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"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
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@@ -31,8 +54,8 @@
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"CWE-502"
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],
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"severity": "HIGH",
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"github_reviewed": false,
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"github_reviewed_at": null,
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"github_reviewed": true,
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"github_reviewed_at": "2024-06-05T13:17:58Z",
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"nvd_published_at": "2024-06-04T12:15:11Z"
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}
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}
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+27
-4
@@ -1,11 +1,12 @@
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{
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"schema_version": "1.4.0",
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"id": "GHSA-j8mg-pqc5-x9gj",
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"modified": "2024-06-04T12:31:05Z",
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"modified": "2024-06-05T13:18:38Z",
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"published": "2024-06-04T12:31:05Z",
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"aliases": [
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"CVE-2024-37057"
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],
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"summary": "MLFlow unsafe deserialization",
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"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 user’s system when interacted with.",
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"severity": [
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{
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@@ -14,13 +15,35 @@
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}
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],
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"affected": [
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{
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"package": {
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"ecosystem": "PyPI",
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"name": "mlflow"
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},
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"ranges": [
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{
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"type": "ECOSYSTEM",
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"events": [
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{
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"introduced": "2.0.0rc0"
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},
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{
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"last_affected": "2.13.1"
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}
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]
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}
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]
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}
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],
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"references": [
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{
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"type": "ADVISORY",
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"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37057"
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},
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{
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"type": "PACKAGE",
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"url": "https://github.com/mlflow/mlflow"
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},
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{
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"type": "WEB",
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"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
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@@ -31,8 +54,8 @@
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"CWE-502"
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],
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"severity": "HIGH",
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"github_reviewed": false,
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"github_reviewed_at": null,
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"github_reviewed": true,
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"github_reviewed_at": "2024-06-05T13:18:38Z",
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"nvd_published_at": "2024-06-04T12:15:11Z"
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}
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}
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+27
-4
@@ -1,11 +1,12 @@
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{
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"schema_version": "1.4.0",
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"id": "GHSA-x38x-g6gr-jqff",
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"modified": "2024-06-04T12:31:04Z",
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"modified": "2024-06-05T13:18:08Z",
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"published": "2024-06-04T12:31:04Z",
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"aliases": [
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"CVE-2024-37055"
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],
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"summary": "MLFlow unsafe deserialization",
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"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 user’s system when interacted with.",
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"severity": [
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{
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@@ -14,13 +15,35 @@
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}
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],
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"affected": [
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{
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"package": {
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"ecosystem": "PyPI",
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"name": "mlflow"
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},
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"ranges": [
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{
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"type": "ECOSYSTEM",
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"events": [
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{
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"introduced": "1.24.0"
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},
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{
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"last_affected": "2.13.1"
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}
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]
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}
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]
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}
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],
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"references": [
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{
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"type": "ADVISORY",
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"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37055"
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},
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{
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"type": "PACKAGE",
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"url": "https://github.com/mlflow/mlflow"
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},
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{
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"type": "WEB",
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"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
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@@ -31,8 +54,8 @@
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"CWE-502"
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],
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"severity": "HIGH",
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"github_reviewed": false,
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"github_reviewed_at": null,
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"github_reviewed": true,
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"github_reviewed_at": "2024-06-05T13:18:08Z",
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"nvd_published_at": "2024-06-04T12:15:11Z"
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}
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}
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