Vulnerability-Lookup

Vulnerability from bitnami_vulndb

Published

2024-03-06 11:10

Modified

2025-05-20 10:02

Summary

`CHECK_EQ` fail via input in `SparseMatrixNNZ` in Tensorflow

Details

TensorFlow is an open source platform for machine learning. An input sparse_matrix that is not a matrix with a shape with rank 0 will trigger a CHECK fail in tf.raw_ops.SparseMatrixNNZ. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "tensorflow",
        "purl": "pkg:bitnami/tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.8.4"
            },
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.3"
            },
            {
              "introduced": "2.10.0"
            },
            {
              "fixed": "2.10.1"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "type": "CVSS_V3"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-41901"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*"
    ],
    "severity": "High"
  },
  "details": "TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.",
  "id": "BIT-tensorflow-2022-41901",
  "modified": "2025-05-20T10:02:07.006Z",
  "published": "2024-03-06T11:10:26.898Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_matrix.h"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41901"
    }
  ],
  "schema_version": "1.5.0",
  "summary": "`CHECK_EQ` fail via input in `SparseMatrixNNZ` in Tensorflow"
}

CVE-2022-41901 (GCVE-0-2022-41901)

Vulnerability from cvelistv5 – Published: 2022-11-18 00:00 – Updated: 2025-04-22 16:03

Title

`CHECK_EQ` fail via input in `SparseMatrixNNZ` in Tensorflow

Summary

TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Severity ?

4.8 (Medium)


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

CWE

CWE-20 - Improper Input Validation

Assigner

GitHub_M

References

URL

Tags

	https://github.com/tensorflow/tensorflow/security…
	https://github.com/tensorflow/tensorflow/commit/f…
	https://github.com/tensorflow/tensorflow/blob/mas…

Impacted products

	Vendor	Product	Version
	tensorflow	tensorflow	Affected: >= 2.10.0, < 2.10.1 Affected: >= 2.9.0, < 2.9.3 Affected: < 2.8.4

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-03T12:56:38.431Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_matrix.h"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2022-41901",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-04-22T15:41:48.384621Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-04-22T16:03:23.623Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "tensorflow",
          "vendor": "tensorflow",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 2.10.0, \u003c 2.10.1"
            },
            {
              "status": "affected",
              "version": "\u003e= 2.9.0, \u003c 2.9.3"
            },
            {
              "status": "affected",
              "version": "\u003c 2.8.4"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 4.8,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-20",
              "description": "CWE-20: Improper Input Validation",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2022-11-18T00:00:00.000Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f"
        },
        {
          "url": "https://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693"
        },
        {
          "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_matrix.h"
        }
      ],
      "source": {
        "advisory": "GHSA-g9fm-r5mm-rf9f",
        "discovery": "UNKNOWN"
      },
      "title": "`CHECK_EQ` fail via input in `SparseMatrixNNZ` in Tensorflow"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2022-41901",
    "datePublished": "2022-11-18T00:00:00.000Z",
    "dateReserved": "2022-09-30T00:00:00.000Z",
    "dateUpdated": "2025-04-22T16:03:23.623Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

Sightings

Author	Source	Type	Date

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.

Action not permitted

Vulnerability from bitnami_vulndb

CVE-2022-41901 (GCVE-0-2022-41901)

Tags

Sightings

Nomenclature