Publish Advisories

GHSA-fg9q-5cw2-p6r9
GHSA-48g7-3x6r-xfhp
GHSA-5478-v2w6-c6q7

advisories/github-reviewed/2024/03/GHSA-fg9q-5cw2-p6r9/GHSA-fg9q-5cw2-p6r9.json

@@ -1,11 +1,12 @@
 {
   "schema_version": "1.4.0",
   "id": "GHSA-fg9q-5cw2-p6r9",
-  "modified": "2024-05-08T03:30:37Z",
+  "modified": "2025-03-11T20:07:55Z",
   "published": "2024-03-07T21:30:21Z",
   "aliases": [
     "CVE-2024-1725"
   ],
+  "summary": "kubevirt-csi: PersistentVolume allows access to HCP's root node",
   "details": "A flaw was found in the kubevirt-csi component of OpenShift Virtualization's Hosted Control Plane (HCP). This issue could allow an authenticated attacker to gain access to the root HCP worker node's volume by creating a custom Persistent Volume that matches the name of a worker node.",
   "severity": [
     {
@@ -13,12 +14,36 @@
       "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N"
     }
   ],
-  "affected": [],
+  "affected": [
+    {
+      "package": {
+        "ecosystem": "Go",
+        "name": "github.com/kubevirt/csi-driver"
+      },
+      "ranges": [
+        {
+          "type": "ECOSYSTEM",
+          "events": [
+            {
+              "introduced": "0"
+            },
+            {
+              "fixed": "0.0.0-202403081943-cc28dcbb0afc14"
+            }
+          ]
+        }
+      ]
+    }
+  ],
   "references": [
     {
       "type": "ADVISORY",
       "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-1725"
     },
+    {
+      "type": "WEB",
+      "url": "https://github.com/kubevirt/csi-driver/commit/cc28dcbb0afca0a7cb8a73bc998ab49f864ed560"
+    },
     {
       "type": "WEB",
       "url": "https://access.redhat.com/errata/RHSA-2024:1559"
@@ -38,6 +63,10 @@
     {
       "type": "WEB",
       "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2265398"
+    },
+    {
+      "type": "PACKAGE",
+      "url": "https://github.com/kubevirt/csi-driver"
     }
   ],
   "database_specific": {
@@ -45,8 +74,8 @@
       "CWE-501"
     ],
     "severity": "HIGH",
-    "github_reviewed": false,
-    "github_reviewed_at": null,
+    "github_reviewed": true,
+    "github_reviewed_at": "2025-03-11T20:07:55Z",
     "nvd_published_at": "2024-03-07T20:15:50Z"
   }
 }

advisories/github-reviewed/2025/03/GHSA-48g7-3x6r-xfhp/GHSA-48g7-3x6r-xfhp.json

@@ -0,0 +1,73 @@
+{
+  "schema_version": "1.4.0",
+  "id": "GHSA-48g7-3x6r-xfhp",
+  "modified": "2025-03-11T20:07:32Z",
+  "published": "2025-03-11T20:07:32Z",
+  "aliases": [
+    "CVE-2025-1550"
+  ],
+  "summary": "Arbitrary Code Execution via Crafted Keras Config for Model Loading",
+  "details": "### Impact\n\nThe Keras `Model.load_model` function permits arbitrary code execution, even with `safe_mode=True`, through a manually constructed, malicious `.keras` archive. By altering the `config.json` file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading.\n\n### Patches\n\nThis problem is fixed starting with version `3.9`.\n\n### Workarounds\n\nOnly load models from trusted sources and model archives created with Keras.\n\n### References\n\n- https://www.cve.org/cverecord?id=CVE-2025-1550\n- https://github.com/keras-team/keras/pull/20751",
+  "severity": [
+    {
+      "type": "CVSS_V4",
+      "score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:A/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H"
+    }
+  ],
+  "affected": [
+    {
+      "package": {
+        "ecosystem": "PyPI",
+        "name": "keras"
+      },
+      "ranges": [
+        {
+          "type": "ECOSYSTEM",
+          "events": [
+            {
+              "introduced": "3.0.0"
+            },
+            {
+              "fixed": "3.9.0"
+            }
+          ]
+        }
+      ]
+    }
+  ],
+  "references": [
+    {
+      "type": "WEB",
+      "url": "https://github.com/keras-team/keras/security/advisories/GHSA-48g7-3x6r-xfhp"
+    },
+    {
+      "type": "ADVISORY",
+      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-1550"
+    },
+    {
+      "type": "WEB",
+      "url": "https://github.com/keras-team/keras/pull/20751"
+    },
+    {
+      "type": "WEB",
+      "url": "https://github.com/keras-team/keras/commit/e67ac8ffd0c883bec68eb65bb52340c7f9d3a903"
+    },
+    {
+      "type": "PACKAGE",
+      "url": "https://github.com/keras-team/keras"
+    },
+    {
+      "type": "WEB",
+      "url": "https://github.com/keras-team/keras/releases/tag/v3.9.0"
+    }
+  ],
+  "database_specific": {
+    "cwe_ids": [
+      "CWE-94"
+    ],
+    "severity": "HIGH",
+    "github_reviewed": true,
+    "github_reviewed_at": "2025-03-11T20:07:32Z",
+    "nvd_published_at": null
+  }
+}

advisories/github-reviewed/2025/03/GHSA-5478-v2w6-c6q7/GHSA-5478-v2w6-c6q7.json

@@ -1,13 +1,12 @@
 {
   "schema_version": "1.4.0",
   "id": "GHSA-5478-v2w6-c6q7",
-  "modified": "2025-03-11T16:17:06Z",
+  "modified": "2025-03-11T20:07:24Z",
   "published": "2025-03-11T09:30:30Z",
-  "aliases": [
-    "CVE-2025-1550"
-  ],
-  "summary": "Keras arbitrary code execution vulnerability",
-  "details": "The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading.",
+  "withdrawn": "2025-03-11T20:07:23Z",
+  "aliases": [],
+  "summary": "Duplicate Advisory: Keras arbitrary code execution vulnerability",
+  "details": "# Duplicate Advisory\nThis advisory has been withdrawn because it is a duplicate of GHSA-48g7-3x6r-xfhp. This link is maintained to preserve external references.\n\n# Original Description\n\nThe Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading.",
   "severity": [
     {
       "type": "CVSS_V4",