GSD-2022-23578

Vulnerability from gsd - Updated: 2023-12-13 01:19
Details
Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item->kernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Aliases
Aliases

{
  "GSD": {
    "alias": "CVE-2022-23578",
    "description": "Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item-\u003ekernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.",
    "id": "GSD-2022-23578",
    "references": [
      "https://www.suse.com/security/cve/CVE-2022-23578.html"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-23578"
      ],
      "details": "Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item-\u003ekernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.",
      "id": "GSD-2022-23578",
      "modified": "2023-12-13T01:19:35.274081Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "security-advisories@github.com",
        "ID": "CVE-2022-23578",
        "STATE": "PUBLIC",
        "TITLE": "Memory leak in Tensorflow"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "tensorflow",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "\u003e= 2.7.0, \u003c 2.7.1"
                        },
                        {
                          "version_value": "\u003c 2.5.3"
                        },
                        {
                          "version_value": "\u003e= 2.6.0, \u003c 2.6.3"
                        }
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                ]
              },
              "vendor_name": "tensorflow"
            }
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      "data_format": "MITRE",
      "data_type": "CVE",
      "data_version": "4.0",
      "description": {
        "description_data": [
          {
            "lang": "eng",
            "value": "Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item-\u003ekernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
          }
        ]
      },
      "impact": {
        "cvss": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 4.3,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
          "version": "3.1"
        }
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "CWE-401: Missing Release of Memory after Effective Lifetime"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8r7c-3cm2-3h8f",
            "refsource": "CONFIRM",
            "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8r7c-3cm2-3h8f"
          },
          {
            "name": "https://github.com/tensorflow/tensorflow/commit/c79ccba517dbb1a0ccb9b01ee3bd2a63748b60dd",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/commit/c79ccba517dbb1a0ccb9b01ee3bd2a63748b60dd"
          },
          {
            "name": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/common_runtime/immutable_executor_state.cc#L84-L262",
            "refsource": "MISC",
            "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/common_runtime/immutable_executor_state.cc#L84-L262"
          }
        ]
      },
      "source": {
        "advisory": "GHSA-8r7c-3cm2-3h8f",
        "discovery": "UNKNOWN"
      }
    },
    "gitlab.com": {
      "advisories": [
        {
          "affected_range": "\u003c2.5.3||\u003e=2.6.0,\u003c2.6.3||==2.7.0",
          "affected_versions": "All versions before 2.5.3, all versions starting from 2.6.0 before 2.6.3, version 2.7.0",
          "cvss_v2": "AV:N/AC:L/Au:S/C:N/I:N/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
          "cwe_ids": [
            "CWE-1035",
            "CWE-401",
            "CWE-937"
          ],
          "date": "2022-02-11",
          "description": "Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item-\u003ekernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.5.3",
            "2.6.3",
            "2.7.1"
          ],
          "identifier": "CVE-2022-23578",
          "identifiers": [
            "GHSA-8r7c-3cm2-3h8f",
            "CVE-2022-23578"
          ],
          "not_impacted": "All versions starting from 2.5.3 before 2.6.0, all versions starting from 2.6.3 before 2.7.0, all versions after 2.7.0",
          "package_slug": "pypi/tensorflow-cpu",
          "pubdate": "2022-02-10",
          "solution": "Upgrade to versions 2.5.3, 2.6.3, 2.7.1 or above.",
          "title": "Missing Release of Memory after Effective Lifetime",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8r7c-3cm2-3h8f",
            "https://github.com/tensorflow/tensorflow/commit/c79ccba517dbb1a0ccb9b01ee3bd2a63748b60dd",
            "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/common_runtime/immutable_executor_state.cc#L84-L262",
            "https://nvd.nist.gov/vuln/detail/CVE-2022-23578",
            "https://github.com/advisories/GHSA-8r7c-3cm2-3h8f"
          ],
          "uuid": "abd91700-0b74-4fdf-9ec3-1a4fa078e2bc"
        },
        {
          "affected_range": "\u003c2.5.3||\u003e=2.6.0,\u003c2.6.3||==2.7.0",
          "affected_versions": "All versions before 2.5.3, all versions starting from 2.6.0 before 2.6.3, version 2.7.0",
          "cvss_v2": "AV:N/AC:L/Au:S/C:N/I:N/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
          "cwe_ids": [
            "CWE-1035",
            "CWE-401",
            "CWE-937"
          ],
          "date": "2022-02-11",
          "description": "Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item-\u003ekernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.5.3",
            "2.6.3",
            "2.7.1"
          ],
          "identifier": "CVE-2022-23578",
          "identifiers": [
            "GHSA-8r7c-3cm2-3h8f",
            "CVE-2022-23578"
          ],
          "not_impacted": "All versions starting from 2.5.3 before 2.6.0, all versions starting from 2.6.3 before 2.7.0, all versions after 2.7.0",
          "package_slug": "pypi/tensorflow-gpu",
          "pubdate": "2022-02-10",
          "solution": "Upgrade to versions 2.5.3, 2.6.3, 2.7.1 or above.",
          "title": "Missing Release of Memory after Effective Lifetime",
          "urls": [
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8r7c-3cm2-3h8f",
            "https://github.com/tensorflow/tensorflow/commit/c79ccba517dbb1a0ccb9b01ee3bd2a63748b60dd",
            "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/common_runtime/immutable_executor_state.cc#L84-L262",
            "https://nvd.nist.gov/vuln/detail/CVE-2022-23578",
            "https://github.com/advisories/GHSA-8r7c-3cm2-3h8f"
          ],
          "uuid": "b79cc1de-b763-4391-ae88-ea78924d5360"
        },
        {
          "affected_range": "\u003c=2.5.2||\u003e=2.6.0,\u003c=2.6.2||==2.7.0",
          "affected_versions": "All versions up to 2.5.2, all versions starting from 2.6.0 up to 2.6.2, version 2.7.0",
          "cvss_v2": "AV:N/AC:L/Au:S/C:N/I:N/A:P",
          "cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
          "cwe_ids": [
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            "CWE-401",
            "CWE-937"
          ],
          "date": "2022-02-10",
          "description": "Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item-\u003ekernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow We will also cherrypick this commit on TensorFlow, TensorFlow, and TensorFlow, as these are also affected and still in supported range.",
          "fixed_versions": [
            "2.5.3",
            "2.6.3",
            "2.7.1"
          ],
          "identifier": "CVE-2022-23578",
          "identifiers": [
            "CVE-2022-23578",
            "GHSA-8r7c-3cm2-3h8f"
          ],
          "not_impacted": "All versions after 2.5.2 before 2.6.0, all versions after 2.6.2 before 2.7.0, all versions after 2.7.0",
          "package_slug": "pypi/tensorflow",
          "pubdate": "2022-02-04",
          "solution": "Upgrade to versions 2.5.3, 2.6.3, 2.7.1 or above.",
          "title": "Missing Release of Memory after Effective Lifetime",
          "urls": [
            "https://nvd.nist.gov/vuln/detail/CVE-2022-23578",
            "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8r7c-3cm2-3h8f",
            "https://github.com/tensorflow/tensorflow/commit/c79ccba517dbb1a0ccb9b01ee3bd2a63748b60dd",
            "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/common_runtime/immutable_executor_state.cc#L84-L262"
          ],
          "uuid": "62fdfb84-d3ce-4997-83ac-d371295f2bdb"
        }
      ]
    },
    "nvd.nist.gov": {
      "configurations": {
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        "nodes": [
          {
            "children": [],
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                "cpe23Uri": "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*",
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        "description": {
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              "value": "Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item-\u003ekernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
            }
          ]
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        "references": {
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            {
              "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8r7c-3cm2-3h8f",
              "refsource": "CONFIRM",
              "tags": [
                "Patch",
                "Third Party Advisory"
              ],
              "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8r7c-3cm2-3h8f"
            },
            {
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              "url": "https://github.com/tensorflow/tensorflow/commit/c79ccba517dbb1a0ccb9b01ee3bd2a63748b60dd"
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              "name": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/common_runtime/immutable_executor_state.cc#L84-L262",
              "refsource": "MISC",
              "tags": [
                "Exploit",
                "Third Party Advisory"
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              "url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/common_runtime/immutable_executor_state.cc#L84-L262"
            }
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      },
      "impact": {
        "baseMetricV2": {
          "acInsufInfo": false,
          "cvssV2": {
            "accessComplexity": "LOW",
            "accessVector": "NETWORK",
            "authentication": "SINGLE",
            "availabilityImpact": "PARTIAL",
            "baseScore": 4.0,
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "vectorString": "AV:N/AC:L/Au:S/C:N/I:N/A:P",
            "version": "2.0"
          },
          "exploitabilityScore": 8.0,
          "impactScore": 2.9,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "MEDIUM",
          "userInteractionRequired": false
        },
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "LOW",
            "baseScore": 4.3,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
            "version": "3.1"
          },
          "exploitabilityScore": 2.8,
          "impactScore": 1.4
        }
      },
      "lastModifiedDate": "2022-02-10T15:17Z",
      "publishedDate": "2022-02-04T23:15Z"
    }
  }
}


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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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