pysec - pysec-2021-412

pysec-2021-412

Vulnerability from pysec

Published

2021-11-05 23:15

Modified

2021-11-13 06:52

Details

TensorFlow is an open source platform for machine learning. In affected versions the async implementation of CollectiveReduceV2 suffers from a memory leak and a use after free. This occurs due to the asynchronous computation and the fact that objects that have been std::move()d from are still accessed. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

Aliases

JSON

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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow",
        "purl": "pkg:pypi/tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "ca38dab9d3ee66c5de06f11af9a4b1200da5ef75"
            }
          ],
          "repo": "https://github.com/tensorflow/tensorflow",
          "type": "GIT"
        },
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            },
            {
              "introduced": "2.7.0rc0"
            },
            {
              "fixed": "2.7.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.6.0",
        "2.7.0rc0",
        "2.7.0rc1"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-41220",
    "GHSA-gpfh-jvf9-7wg5"
  ],
  "details": "TensorFlow is an open source platform for machine learning. In affected versions the async implementation of `CollectiveReduceV2` suffers from a memory leak and a use after free. This occurs due to the asynchronous computation and the fact that objects that have been `std::move()`d from are still accessed. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.",
  "id": "PYSEC-2021-412",
  "modified": "2021-11-13T06:52:45.180075Z",
  "published": "2021-11-05T23:15:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gpfh-jvf9-7wg5"
    },
    {
      "type": "FIX",
      "url": "https://github.com/tensorflow/tensorflow/commit/ca38dab9d3ee66c5de06f11af9a4b1200da5ef75"
    }
  ]
}

ghsa-gpfh-jvf9-7wg5

Vulnerability from github

Published

2021-11-10 18:51

Modified

2024-11-07 22:12

Severity ?

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

Summary

Use after free / memory leak in `CollectiveReduceV2`

Details

Impact

The async implementation of CollectiveReduceV2 suffers from a memory leak and a use after free:

```python import tensorflow as tf

tf.raw_ops.CollectiveReduceV2( input=[], group_size=[-10, -10, -10], group_key=[-10, -10], instance_key=[-10], ordering_token=[], merge_op='Mul', final_op='Div') ```

This occurs due to the asynchronous computation and the fact that objects that have been std::move()d from are still accessed:

cc auto done_with_cleanup = [col_params, done = std::move(done)]() { done(); col_params->Unref(); }; OP_REQUIRES_OK_ASYNC(c, FillCollectiveParams(col_params, REDUCTION_COLLECTIVE, /*group_size*/ c->input(1), /*group_key*/ c->input(2), /*instance_key*/ c->input(3)), done);

Here, done is already moved from by the time OP_REQUIRES_OK_ASYNC macro needs to invoke it in case of errors. In this case, we get an undefined behavior, which can manifest via crashes, std::bad_alloc throws or just memory leaks.

Patches

We have patched the issue in GitHub commit ca38dab9d3ee66c5de06f11af9a4b1200da5ef75.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

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 members of the Aivul Team from Qihoo 360.

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.6.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.6.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.6.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-41220"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-416"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-11-08T22:07:11Z",
    "nvd_published_at": "2021-11-05T23:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nThe [async implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/collective_ops.cc#L604-L615) of `CollectiveReduceV2` suffers from a memory leak and a use after free:\n\n```python\nimport tensorflow as tf\n  \ntf.raw_ops.CollectiveReduceV2(\n  input=[],\n  group_size=[-10, -10, -10],\n  group_key=[-10, -10],\n  instance_key=[-10],\n  ordering_token=[],\n  merge_op=\u0027Mul\u0027,\n  final_op=\u0027Div\u0027)\n``` \n\nThis occurs due to the asynchronous computation and the fact that objects that have been `std::move()`d from are still accessed:\n\n```cc\nauto done_with_cleanup = [col_params, done = std::move(done)]() {\n  done();\n  col_params-\u003eUnref();\n};\nOP_REQUIRES_OK_ASYNC(c,\n                     FillCollectiveParams(col_params, REDUCTION_COLLECTIVE,\n                                          /*group_size*/ c-\u003einput(1),\n                                          /*group_key*/ c-\u003einput(2),\n                                          /*instance_key*/ c-\u003einput(3)),\n                     done);\n```\n\nHere, `done` is already moved from by the time `OP_REQUIRES_OK_ASYNC` macro needs to invoke it in case of errors. In this case, we get an undefined behavior, which can manifest via crashes, `std::bad_alloc` throws or just memory leaks.\n\n### Patches\nWe have patched the issue in GitHub commit [ca38dab9d3ee66c5de06f11af9a4b1200da5ef75](https://github.com/tensorflow/tensorflow/commit/ca38dab9d3ee66c5de06f11af9a4b1200da5ef75).\n\nThe fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.\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 members of the Aivul Team from Qihoo 360.\n",
  "id": "GHSA-gpfh-jvf9-7wg5",
  "modified": "2024-11-07T22:12:03Z",
  "published": "2021-11-10T18:51:21Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gpfh-jvf9-7wg5"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41220"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/ca38dab9d3ee66c5de06f11af9a4b1200da5ef75"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-629.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-827.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-412.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Use after free / memory leak in `CollectiveReduceV2`"
}

cve-2021-41220

Vulnerability from cvelistv5

Published

2021-11-05 22:20

Modified

2024-08-04 03:08

Severity ?

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

Summary

TensorFlow is an open source platform for machine learning. In affected versions the async implementation of `CollectiveReduceV2` suffers from a memory leak and a use after free. This occurs due to the asynchronous computation and the fact that objects that have been `std::move()`d from are still accessed. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gpfh-jvf9-7wg5	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/ca38dab9d3ee66c5de06f11af9a4b1200da5ef75	x_refsource_MISC

Impacted products

Vendor

Product

Version

▼

tensorflow

Version: >= 2.6.0, < 2.6.1

Show details on NVD website

JSON

To clipboard

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            "url": "https://github.com/tensorflow/tensorflow/commit/ca38dab9d3ee66c5de06f11af9a4b1200da5ef75"
          }
        ],
        "title": "CVE Program Container"
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    "cna": {
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      "metrics": [
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}

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-2021-412

Vulnerability from pysec

ghsa-gpfh-jvf9-7wg5

Vulnerability from github

Impact

Patches

For more information

Attribution

cve-2021-41220

Vulnerability from cvelistv5

Tags

Sightings

Nomenclature