pysec - pysec-2021-671

pysec-2021-671

Vulnerability from pysec

Published

2021-05-14 20:15

Modified

2021-12-09 06:35

Details

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in converting sparse tensors to CSR Sparse matrices. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/800346f2c03a27e182dd4fba48295f65e7790739/tensorflow/core/kernels/sparse/kernels.cc#L66) does a double redirection to access an element of an array allocated on the heap. If the value at indices(i, 0) is such that indices(i, 0) + 1 is outside the bounds of csr_row_ptr, this results in writing outside of bounds of heap allocated data. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu",
        "purl": "pkg:pypi/tensorflow-gpu"
      },
      "ranges": [
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            {
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            }
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          "repo": "https://github.com/tensorflow/tensorflow",
          "type": "GIT"
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            },
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              "introduced": "2.3.0"
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            {
              "fixed": "2.3.4"
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      "versions": [
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        "1.5.0",
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        "1.6.0",
        "1.7.0",
        "1.7.1",
        "1.8.0",
        "1.9.0",
        "2.0.0",
        "2.0.1",
        "2.0.2",
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        "2.3.2",
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        "2.4.0",
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      ]
    }
  ],
  "aliases": [
    "CVE-2021-29545",
    "GHSA-hmg3-c7xj-6qwm"
  ],
  "details": "TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in converting sparse tensors to CSR Sparse matrices. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/800346f2c03a27e182dd4fba48295f65e7790739/tensorflow/core/kernels/sparse/kernels.cc#L66) does a double redirection to access an element of an array allocated on the heap. If the value at `indices(i, 0)` is such that `indices(i, 0) + 1` is outside the bounds of `csr_row_ptr`, this results in writing outside of bounds of heap allocated data. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.",
  "id": "PYSEC-2021-671",
  "modified": "2021-12-09T06:35:22.627279Z",
  "published": "2021-05-14T20:15:00Z",
  "references": [
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      "type": "ADVISORY",
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    },
    {
      "type": "FIX",
      "url": "https://github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13"
    }
  ]
}

ghsa-hmg3-c7xj-6qwm

Vulnerability from github

Published

2021-05-21 14:23

Modified

2024-10-30 22:07

Severity ?

2.5 (Low) - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
2.0 (Low) - CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

Summary

Heap buffer overflow in `SparseTensorToCSRSparseMatrix`

Details

Impact

An attacker can trigger a denial of service via a CHECK-fail in converting sparse tensors to CSR Sparse matrices:

```python import tensorflow as tf import numpy as np from tensorflow.python.ops.linalg.sparse import sparse_csr_matrix_ops

indices_array = np.array([[0, 0]]) value_array = np.array([0.0], dtype=np.float32) dense_shape = [0, 0]

st = tf.SparseTensor(indices_array, value_array, dense_shape)

values_tensor = sparse_csr_matrix_ops.sparse_tensor_to_csr_sparse_matrix( st.indices, st.values, st.dense_shape) ```

This is because the implementation does a double redirection to access an element of an array allocated on the heap:

cc csr_row_ptr(indices(i, 0) + 1) += 1;

If the value at indices(i, 0) is such that indices(i, 0) + 1 is outside the bounds of csr_row_ptr, this results in writing outside of bounds of heap allocated data.

Patches

We have patched the issue in GitHub commit 1e922ccdf6bf46a3a52641f99fd47d54c1decd13.

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
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        "name": "tensorflow"
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  "aliases": [
    "CVE-2021-29545"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-131"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T21:48:53Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nAn attacker can trigger a denial of service via a `CHECK`-fail in converting sparse tensors to CSR Sparse matrices:\n\n```python\nimport tensorflow as tf\nimport numpy as np\nfrom tensorflow.python.ops.linalg.sparse import sparse_csr_matrix_ops\n\nindices_array = np.array([[0, 0]])\nvalue_array = np.array([0.0], dtype=np.float32)\ndense_shape = [0, 0]\n\nst = tf.SparseTensor(indices_array, value_array, dense_shape)\n\nvalues_tensor = sparse_csr_matrix_ops.sparse_tensor_to_csr_sparse_matrix(\n       st.indices, st.values, st.dense_shape)\n```\n\nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/800346f2c03a27e182dd4fba48295f65e7790739/tensorflow/core/kernels/sparse/kernels.cc#L66) does a double redirection to access an element of an array allocated on the heap:\n\n```cc\ncsr_row_ptr(indices(i, 0) + 1) += 1;\n```\n                      \nIf the value at `indices(i, 0)` is such that `indices(i, 0) + 1` is outside the bounds of `csr_row_ptr`, this results in writing outside of bounds of heap allocated data.\n\n### Patches\nWe have patched the issue in GitHub commit [1e922ccdf6bf46a3a52641f99fd47d54c1decd13](https://github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13).\n\nThe fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team.",
  "id": "GHSA-hmg3-c7xj-6qwm",
  "modified": "2024-10-30T22:07:54Z",
  "published": "2021-05-21T14:23:25Z",
  "references": [
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      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hmg3-c7xj-6qwm"
    },
    {
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      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29545"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13"
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      "type": "CVSS_V3"
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      "score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Heap buffer overflow in `SparseTensorToCSRSparseMatrix`"
}

cve-2021-29545

Vulnerability from cvelistv5

Published

2021-05-14 19:11

Modified

2024-08-03 22:11

Severity ?

2.5 (Low) - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

Summary

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in converting sparse tensors to CSR Sparse matrices. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/800346f2c03a27e182dd4fba48295f65e7790739/tensorflow/core/kernels/sparse/kernels.cc#L66) does a double redirection to access an element of an array allocated on the heap. If the value at `indices(i, 0)` is such that `indices(i, 0) + 1` is outside the bounds of `csr_row_ptr`, this results in writing outside of bounds of heap allocated data. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hmg3-c7xj-6qwm	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13	x_refsource_MISC

Impacted products

Vendor

Product

Version

▼

tensorflow

Version: < 2.1.4
Version: >= 2.2.0, < 2.2.3
Version: >= 2.3.0, < 2.3.3
Version: >= 2.4.0, < 2.4.2

Show details on NVD website

JSON

To clipboard

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            {
              "description": [
                {
                  "lang": "eng",
                  "value": "CWE-131: Incorrect Calculation of Buffer Size"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hmg3-c7xj-6qwm",
              "refsource": "CONFIRM",
              "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hmg3-c7xj-6qwm"
            },
            {
              "name": "https://github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13",
              "refsource": "MISC",
              "url": "https://github.com/tensorflow/tensorflow/commit/1e922ccdf6bf46a3a52641f99fd47d54c1decd13"
            }
          ]
        },
        "source": {
          "advisory": "GHSA-hmg3-c7xj-6qwm",
          "discovery": "UNKNOWN"
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2021-29545",
    "datePublished": "2021-05-14T19:11:00",
    "dateReserved": "2021-03-30T00:00:00",
    "dateUpdated": "2024-08-03T22:11:05.602Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

Sightings

Author	Source	Type	Date

Nomenclature

Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
Confirmed: The vulnerability is confirmed from an analyst perspective.
Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
Patched: This vulnerability was successfully patched by the user reporting the sighting.
Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
Not confirmed: The user expresses doubt about the veracity of the vulnerability.
Not patched: This vulnerability was not successfully patched by the user reporting the sighting.

Action not permitted

pysec-2021-671

Vulnerability from pysec

ghsa-hmg3-c7xj-6qwm

Vulnerability from github

Impact

Patches

For more information

Attribution

cve-2021-29545

Vulnerability from cvelistv5

Tags

Sightings

Nomenclature