Common Weakness Enumeration

CWE-824

Allowed

Access of Uninitialized Pointer

Abstraction: Base · Status: Incomplete

The product accesses or uses a pointer that has not been initialized.

453 vulnerabilities reference this CWE, most recent first.

GHSA-V2R3-58V8-7V46

Vulnerability from github – Published: 2023-03-28 21:30 – Updated: 2023-03-28 21:30
VLAI
Details

Adobe Dimension versions 3.4.7 (and earlier) is affected by an Access of Uninitialized Pointer vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-26344"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-03-28T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Adobe Dimension versions 3.4.7 (and earlier) is affected by an Access of Uninitialized Pointer vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.",
  "id": "GHSA-v2r3-58v8-7v46",
  "modified": "2023-03-28T21:30:18Z",
  "published": "2023-03-28T21:30:18Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-26344"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/dimension/apsb23-20.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-V3R8-WHQ5-7FHG

Vulnerability from github – Published: 2025-05-13 18:30 – Updated: 2025-05-13 18:30
VLAI
Details

Photoshop Desktop versions 26.5, 25.12.2 and earlier are affected by an Access of Uninitialized Pointer vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-30326"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-05-13T18:15:38Z",
    "severity": "HIGH"
  },
  "details": "Photoshop Desktop versions 26.5, 25.12.2 and earlier are affected by an Access of Uninitialized Pointer vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.",
  "id": "GHSA-v3r8-whq5-7fhg",
  "modified": "2025-05-13T18:30:58Z",
  "published": "2025-05-13T18:30:58Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-30326"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/photoshop/apsb25-40.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-V4R4-QXJG-89Q5

Vulnerability from github – Published: 2024-05-08 15:30 – Updated: 2024-05-08 15:30
VLAI
Details

When IPsec is configured on a virtual server, undisclosed traffic can cause the Traffic Management Microkernel (TMM) to terminate.

Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-33608"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-08T15:15:10Z",
    "severity": "HIGH"
  },
  "details": "When IPsec is configured on a virtual server, undisclosed traffic can cause the Traffic Management Microkernel (TMM) to terminate. \n\n\nNote: Software versions which have reached End of Technical Support (EoTS) are not evaluated.",
  "id": "GHSA-v4r4-qxjg-89q5",
  "modified": "2024-05-08T15:30:43Z",
  "published": "2024-05-08T15:30:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-33608"
    },
    {
      "type": "WEB",
      "url": "https://my.f5.com/manage/s/article/K000138728"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-V768-W7M9-2VMM

Vulnerability from github – Published: 2021-08-25 14:41 – Updated: 2024-11-13 21:13
VLAI
Summary
Reference binding to nullptr in shape inference
Details

Impact

An attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.SparseFillEmptyRows:

import tensorflow as tf

tf.compat.v1.disable_v2_behavior()
tf.raw_ops.SparseFillEmptyRows(
  indices = tf.constant([], shape=[0, 0], dtype=tf.int64),
  values = tf.constant([], shape=[0], dtype=tf.int64),
  dense_shape = tf.constant([], shape=[0], dtype=tf.int64),
  default_value = 0)

The shape inference implementation does not validate that the input arguments are not empty tensors.

Patches

We have patched the issue in GitHub commit 578e634b4f1c1c684d4b4294f9e5281b2133b3ed.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 of Baidu Security

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-37676"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-08-24T15:44:08Z",
    "nvd_published_at": "2021-08-12T22:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nAn attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.SparseFillEmptyRows`:\n\n```python\nimport tensorflow as tf\n  \ntf.compat.v1.disable_v2_behavior()\ntf.raw_ops.SparseFillEmptyRows(\n  indices = tf.constant([], shape=[0, 0], dtype=tf.int64),\n  values = tf.constant([], shape=[0], dtype=tf.int64),\n  dense_shape = tf.constant([], shape=[0], dtype=tf.int64),\n  default_value = 0)\n```\n  \nThe shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/sparse_ops.cc#L608-L634) does not validate that the input arguments are not empty tensors.\n\n### Patches \nWe have patched the issue in GitHub commit [578e634b4f1c1c684d4b4294f9e5281b2133b3ed](https://github.com/tensorflow/tensorflow/commit/578e634b4f1c1c684d4b4294f9e5281b2133b3ed).\n\nThe fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 of Baidu Security",
  "id": "GHSA-v768-w7m9-2vmm",
  "modified": "2024-11-13T21:13:31Z",
  "published": "2021-08-25T14:41:26Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v768-w7m9-2vmm"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37676"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/578e634b4f1c1c684d4b4294f9e5281b2133b3ed"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-589.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-787.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-298.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"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Reference binding to nullptr in shape inference"
}

GHSA-V84H-8XQ6-RV63

Vulnerability from github – Published: 2026-05-12 12:32 – Updated: 2026-05-12 12:32
VLAI
Details

A vulnerability has been identified in Solid Edge SE2026 (All versions < V226.0 Update 5). The affected application is vulnerable to uninitialized pointer access while parsing specially crafted PAR files. An attacker could leverage this vulnerability to execute code in the context of the current process.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-44411"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-12T10:16:46Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability has been identified in Solid Edge SE2026 (All versions \u003c V226.0 Update 5). The affected application is vulnerable to uninitialized pointer access while parsing specially crafted PAR files. An attacker could leverage this vulnerability to execute code in the context of the current process.",
  "id": "GHSA-v84h-8xq6-rv63",
  "modified": "2026-05-12T12:32:15Z",
  "published": "2026-05-12T12:32:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-44411"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-921111.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:H/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

GHSA-VHQG-PHQC-XG4M

Vulnerability from github – Published: 2023-11-17 12:30 – Updated: 2023-11-17 12:30
VLAI
Details

Adobe After Effects version 24.0.2 (and earlier) and 23.6 (and earlier) are affected by an Access of Uninitialized Pointer vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-47072"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-11-17T11:15:08Z",
    "severity": "LOW"
  },
  "details": "Adobe After Effects version 24.0.2 (and earlier) and 23.6 (and earlier) are affected by an Access of Uninitialized Pointer vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.",
  "id": "GHSA-vhqg-phqc-xg4m",
  "modified": "2023-11-17T12:30:19Z",
  "published": "2023-11-17T12:30:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-47072"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/after_effects/apsb23-66.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-VR33-6WRQ-RRVX

Vulnerability from github – Published: 2023-04-13 00:30 – Updated: 2023-04-13 00:30
VLAI
Details

Adobe Substance 3D Stager version 2.0.1 (and earlier) is affected by an Access of Uninitialized Pointer vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-26387"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-04-12T22:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Adobe Substance 3D Stager version 2.0.1 (and earlier) is affected by an Access of Uninitialized Pointer vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.",
  "id": "GHSA-vr33-6wrq-rrvx",
  "modified": "2023-04-13T00:30:49Z",
  "published": "2023-04-13T00:30:49Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-26387"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/substance3d_stager/apsb23-26.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-VVQ3-82M9-8CMJ

Vulnerability from github – Published: 2024-05-03 03:30 – Updated: 2024-05-03 03:30
VLAI
Details

Ashlar-Vellum Cobalt XE File Parsing Uninitialized Memory Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Ashlar-Vellum Cobalt. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.

The specific flaw exists within the parsing of XE files. The issue results from the lack of proper initialization of memory prior to accessing it. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-20200.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-35712"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-03T02:15:33Z",
    "severity": "HIGH"
  },
  "details": "Ashlar-Vellum Cobalt XE File Parsing Uninitialized Memory Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Ashlar-Vellum Cobalt. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.\n\nThe specific flaw exists within the parsing of XE files. The issue results from the lack of proper initialization of memory prior to accessing it. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-20200.",
  "id": "GHSA-vvq3-82m9-8cmj",
  "modified": "2024-05-03T03:30:52Z",
  "published": "2024-05-03T03:30:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-35712"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-23-875"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-VWHQ-49R4-GJ9V

Vulnerability from github – Published: 2021-11-10 18:58 – Updated: 2024-11-07 22:17
VLAI
Summary
Reference binding to `nullptr` in `tf.ragged.cross`
Details

Impact

The shape inference code for tf.ragged.cross has an undefined behavior due to binding a reference to nullptr. In the following scenario, this results in a crash:

import tensorflow as tf

@tf.function                 
def test():     
  y = tf.ragged.cross([tf.ragged.constant([['1']]),'2'])
  return y                   

test()        

Patches

We have patched the issue in GitHub commit fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 members of the Aivul Team from Qihoo 360.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-41214"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-11-08T22:24:08Z",
    "nvd_published_at": "2021-11-05T21:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nThe [shape inference code for `tf.ragged.cross`](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/ops/ragged_array_ops.cc#L64) has an undefined behavior due to binding a reference to `nullptr`. In the following scenario, this results in a crash:\n\n```python\nimport tensorflow as tf\n  \n@tf.function                 \ndef test():     \n  y = tf.ragged.cross([tf.ragged.constant([[\u00271\u0027]]),\u00272\u0027])\n  return y                   \n                             \ntest()        \n```                          \n             \n### Patches\nWe have patched the issue in GitHub commit [fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8](https://github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8).\n  \nThe fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 members of the Aivul Team from Qihoo 360.",
  "id": "GHSA-vwhq-49r4-gj9v",
  "modified": "2024-11-07T22:17:16Z",
  "published": "2021-11-10T18:58:16Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vwhq-49r4-gj9v"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41214"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-623.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-821.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-406.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": "Reference binding to `nullptr` in `tf.ragged.cross`"
}

GHSA-W466-HVWW-7WFM

Vulnerability from github – Published: 2022-05-13 01:25 – Updated: 2022-05-13 01:25
VLAI
Details

Google Chrome before 8.0.552.237 and Chrome OS before 8.0.552.344 do not properly interact with extensions, which allows remote attackers to cause a denial of service via a crafted extension that triggers an uninitialized pointer.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2011-0479"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2011-01-14T17:00:00Z",
    "severity": "HIGH"
  },
  "details": "Google Chrome before 8.0.552.237 and Chrome OS before 8.0.552.344 do not properly interact with extensions, which allows remote attackers to cause a denial of service via a crafted extension that triggers an uninitialized pointer.",
  "id": "GHSA-w466-hvww-7wfm",
  "modified": "2022-05-13T01:25:08Z",
  "published": "2022-05-13T01:25:08Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2011-0479"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/64670"
    },
    {
      "type": "WEB",
      "url": "https://oval.cisecurity.org/repository/search/definition/oval%3Aorg.mitre.oval%3Adef%3A14746"
    },
    {
      "type": "WEB",
      "url": "http://code.google.com/p/chromium/issues/detail?id=67393"
    },
    {
      "type": "WEB",
      "url": "http://googlechromereleases.blogspot.com/2011/01/chrome-stable-release.html"
    },
    {
      "type": "WEB",
      "url": "http://osvdb.org/70462"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/42951"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/45788"
    },
    {
      "type": "WEB",
      "url": "http://www.srware.net/forum/viewtopic.php?f=18\u0026t=2054"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

No mitigation information available for this CWE.

No CAPEC attack patterns related to this CWE.