GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration
Common Weakness Enumeration

CWE-617

Allowed

Reachable Assertion

Abstraction: Base · Status: Draft

The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.

1111 vulnerabilities reference this CWE, most recent first.

GHSA-WJ4M-W3QM-XPCH

Vulnerability from github – Published: 2026-03-04 15:30 – Updated: 2026-06-02 15:31
VLAI
Details

In the Linux kernel, the following vulnerability has been resolved:

romfs: check sb_set_blocksize() return value

romfs_fill_super() ignores the return value of sb_set_blocksize(), which can fail if the requested block size is incompatible with the block device's configuration.

This can be triggered by setting a loop device's block size larger than PAGE_SIZE using ioctl(LOOP_SET_BLOCK_SIZE, 32768), then mounting a romfs filesystem on that device.

When sb_set_blocksize(sb, ROMBSIZE) is called with ROMBSIZE=4096 but the device has logical_block_size=32768, bdev_validate_blocksize() fails because the requested size is smaller than the device's logical block size. sb_set_blocksize() returns 0 (failure), but romfs ignores this and continues mounting.

The superblock's block size remains at the device's logical block size (32768). Later, when sb_bread() attempts I/O with this oversized block size, it triggers a kernel BUG in folio_set_bh():

kernel BUG at fs/buffer.c:1582!
BUG_ON(size > PAGE_SIZE);

Fix by checking the return value of sb_set_blocksize() and failing the mount with -EINVAL if it returns 0.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-23238"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-03-04T15:16:14Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nromfs: check sb_set_blocksize() return value\n\nromfs_fill_super() ignores the return value of sb_set_blocksize(), which\ncan fail if the requested block size is incompatible with the block\ndevice\u0027s configuration.\n\nThis can be triggered by setting a loop device\u0027s block size larger than\nPAGE_SIZE using ioctl(LOOP_SET_BLOCK_SIZE, 32768), then mounting a romfs\nfilesystem on that device.\n\nWhen sb_set_blocksize(sb, ROMBSIZE) is called with ROMBSIZE=4096 but the\ndevice has logical_block_size=32768, bdev_validate_blocksize() fails\nbecause the requested size is smaller than the device\u0027s logical block\nsize. sb_set_blocksize() returns 0 (failure), but romfs ignores this and\ncontinues mounting.\n\nThe superblock\u0027s block size remains at the device\u0027s logical block size\n(32768). Later, when sb_bread() attempts I/O with this oversized block\nsize, it triggers a kernel BUG in folio_set_bh():\n\n    kernel BUG at fs/buffer.c:1582!\n    BUG_ON(size \u003e PAGE_SIZE);\n\nFix by checking the return value of sb_set_blocksize() and failing the\nmount with -EINVAL if it returns 0.",
  "id": "GHSA-wj4m-w3qm-xpch",
  "modified": "2026-06-02T15:31:53Z",
  "published": "2026-03-04T15:30:36Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-23238"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-253495.html"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2c5829cd8fbbc91568c520b666898f57cdcb8cf6"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/4b71ad7676564a94ec5f7d18298f51e8ae53db73"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/9b203b8ddd7359270e8a694d0584743555128e2c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a381f0f61b35c8894b0bd0d6acef2d8f9b08b244"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ab7ad7abb3660c58ffffdf07ff3bb976e7e0afa0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/cbd9931e6456822067725354d83446c5bb813030"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f2521ab1f63a8c244f06a080319e5ff9a2e1bd95"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-WJ8J-VMWR-JQC9

Vulnerability from github – Published: 2022-05-13 01:28 – Updated: 2024-03-21 03:33
VLAI
Details

** DISPUTED ** The validateInputImageSize function in modules/imgcodecs/src/loadsave.cpp in OpenCV 3.4.1 allows remote attackers to cause a denial of service (assertion failure) because (size.width <= (1<<20)) may be false. Note: “OpenCV CV_Assert is not an assertion (C-like assert()), it is regular C++ exception which can raised in case of invalid or non-supported parameters.”

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-7713"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-03-05T23:29:00Z",
    "severity": "HIGH"
  },
  "details": "** DISPUTED ** The validateInputImageSize function in modules/imgcodecs/src/loadsave.cpp in OpenCV 3.4.1 allows remote attackers to cause a denial of service (assertion failure) because (size.width \u003c= (1\u003c\u003c20)) may be false. Note: \u201cOpenCV CV_Assert is not an assertion (C-like assert()), it is regular C++ exception which can raised in case of invalid or non-supported parameters.\u201d",
  "id": "GHSA-wj8j-vmwr-jqc9",
  "modified": "2024-03-21T03:33:22Z",
  "published": "2022-05-13T01:28:30Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-7713"
    },
    {
      "type": "WEB",
      "url": "https://github.com/opencv/opencv/issues/10998"
    },
    {
      "type": "WEB",
      "url": "https://github.com/xiaoqx/pocs/tree/master/opencv/dos-by-assert"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-WJ92-JWCQ-3HPF

Vulnerability from github – Published: 2022-01-21 00:00 – Updated: 2022-01-27 00:02
VLAI
Details

There is an Assertion 'context_p->stack_top_uint8 == SCAN_STACK_TRY_STATEMENT || context_p->stack_top_uint8 == SCAN_STACK_CATCH_STATEMENT' failed at /parser/js/js-scanner.c(scanner_scan_statement_end) in JerryScript 3.0.0.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-46340"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-20T22:15:00Z",
    "severity": "MODERATE"
  },
  "details": "There is an Assertion \u0027context_p-\u003estack_top_uint8 == SCAN_STACK_TRY_STATEMENT || context_p-\u003estack_top_uint8 == SCAN_STACK_CATCH_STATEMENT\u0027 failed at /parser/js/js-scanner.c(scanner_scan_statement_end) in JerryScript 3.0.0.",
  "id": "GHSA-wj92-jwcq-3hpf",
  "modified": "2022-01-27T00:02:29Z",
  "published": "2022-01-21T00:00:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-46340"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jerryscript-project/jerryscript/issues/4924"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-WJ9X-8HV5-2P36

Vulnerability from github – Published: 2026-07-15 00:31 – Updated: 2026-07-15 15:33
VLAI
Details

A reachable assertion vulnerability exists in the Matter SDK (connectedhomeip) before 1.4.0, in the interaction model command processing logic. When an InvokeCommandRequest is sent to a nonexistent endpoint and cluster (e.g., 0x34), the code incorrectly treats the endpoint as valid due to missing checks in CodegenDataModelProvider::Invoke. This causes a VerifyOrDie failure in ProcessCommandDataIB and results in a crash (SIGABRT). The issue has been acknowledged and fixed in a later revision (PR #37207).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-56365"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-14T23:17:27Z",
    "severity": "HIGH"
  },
  "details": "A reachable assertion vulnerability exists in the Matter SDK (connectedhomeip) before 1.4.0, in the interaction model command processing logic. When an InvokeCommandRequest is sent to a nonexistent endpoint and cluster (e.g., 0x34), the code incorrectly treats the endpoint as valid due to missing checks in CodegenDataModelProvider::Invoke. This causes a VerifyOrDie failure in ProcessCommandDataIB and results in a crash (SIGABRT). The issue has been acknowledged and fixed in a later revision (PR #37207).",
  "id": "GHSA-wj9x-8hv5-2p36",
  "modified": "2026-07-15T15:33:00Z",
  "published": "2026-07-15T00:31:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-56365"
    },
    {
      "type": "WEB",
      "url": "https://github.com/project-chip/connectedhomeip/issues/37184"
    },
    {
      "type": "WEB",
      "url": "https://github.com/project-chip/connectedhomeip/pull/37207"
    },
    {
      "type": "WEB",
      "url": "https://github.com/project-chip/connectedhomeip"
    }
  ],
  "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-WM53-7W82-C6X3

Vulnerability from github – Published: 2023-03-16 15:30 – Updated: 2025-02-26 18:30
VLAI
Details

An issue found in TCPprep v.4.4.3 allows a remote attacker to cause a denial of service via the cidr2cidr function at the cidr.c:178 endpoint.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-27789"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-03-16T15:15:00Z",
    "severity": "HIGH"
  },
  "details": "An issue found in TCPprep v.4.4.3 allows a remote attacker to cause a denial of service via the cidr2cidr function at the cidr.c:178 endpoint.",
  "id": "GHSA-wm53-7w82-c6x3",
  "modified": "2025-02-26T18:30:36Z",
  "published": "2023-03-16T15:30:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-27789"
    },
    {
      "type": "WEB",
      "url": "https://github.com/appneta/tcpreplay/issues/784"
    },
    {
      "type": "WEB",
      "url": "https://github.com/appneta/tcpreplay/pull/783"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/R3ER3YTFR3XIDMYEB7LMFWFTPVQALBHC"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UE3J4LKYFNKPKNSLDQK4JG36THQMQH3V"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UK2BRH3W3ECF5FDXP6QM3ZEDTHIOE4M5"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/R3ER3YTFR3XIDMYEB7LMFWFTPVQALBHC"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UE3J4LKYFNKPKNSLDQK4JG36THQMQH3V"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UK2BRH3W3ECF5FDXP6QM3ZEDTHIOE4M5"
    }
  ],
  "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-WMP5-3J44-5X2X

Vulnerability from github – Published: 2022-05-13 01:36 – Updated: 2022-05-13 01:36
VLAI
Details

Mistaken assumptions about the ordering of records in the answer section of a response containing CNAME or DNAME resource records could lead to a situation in which named would exit with an assertion failure when processing a response in which records occurred in an unusual order. Affects BIND 9.9.9-P6, 9.9.10b1->9.9.10rc1, 9.10.4-P6, 9.10.5b1->9.10.5rc1, 9.11.0-P3, 9.11.1b1->9.11.1rc1, and 9.9.9-S8.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-3137"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-01-16T20:29:00Z",
    "severity": "HIGH"
  },
  "details": "Mistaken assumptions about the ordering of records in the answer section of a response containing CNAME or DNAME resource records could lead to a situation in which named would exit with an assertion failure when processing a response in which records occurred in an unusual order. Affects BIND 9.9.9-P6, 9.9.10b1-\u003e9.9.10rc1, 9.10.4-P6, 9.10.5b1-\u003e9.10.5rc1, 9.11.0-P3, 9.11.1b1-\u003e9.11.1rc1, and 9.9.9-S8.",
  "id": "GHSA-wmp5-3j44-5x2x",
  "modified": "2022-05-13T01:36:48Z",
  "published": "2022-05-13T01:36:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-3137"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2017:1095"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2017:1105"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2017:1582"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2017:1583"
    },
    {
      "type": "WEB",
      "url": "https://kb.isc.org/docs/aa-01466"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/201708-01"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20180802-0002"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2017/dsa-3854"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/97651"
    },
    {
      "type": "WEB",
      "url": "http://www.securitytracker.com/id/1038258"
    },
    {
      "type": "WEB",
      "url": "http://www.securitytracker.com/id/1040195"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-WMQJ-MJGX-4CXM

Vulnerability from github – Published: 2025-07-22 18:30 – Updated: 2025-11-03 21:34
VLAI
Details

A denial of service vulnerability exists in the Distributed Transaction Commit/Abort Operation functionality of Bloomberg Comdb2 8.1. A specially crafted network packet can lead to a denial of service. An attacker can send a malicious packet to trigger this vulnerability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-46354"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-07-22T16:15:29Z",
    "severity": "HIGH"
  },
  "details": "A denial of service vulnerability exists in the Distributed Transaction Commit/Abort Operation functionality of Bloomberg Comdb2 8.1. A specially crafted network packet can lead to a denial of service. An attacker can send a malicious packet to trigger this vulnerability.",
  "id": "GHSA-wmqj-mjgx-4cxm",
  "modified": "2025-11-03T21:34:10Z",
  "published": "2025-07-22T18:30:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-46354"
    },
    {
      "type": "WEB",
      "url": "https://talosintelligence.com/vulnerability_reports/TALOS-2025-2198"
    },
    {
      "type": "WEB",
      "url": "https://www.talosintelligence.com/vulnerability_reports/TALOS-2025-2198"
    }
  ],
  "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-WP3C-XW9G-GPCG

Vulnerability from github – Published: 2021-05-21 14:25 – Updated: 2024-11-01 17:04
VLAI
Summary
Lack of validation in `SparseDenseCwiseMul`
Details

Impact

Due to lack of validation in tf.raw_ops.SparseDenseCwiseMul, an attacker can trigger denial of service via CHECK-fails or accesses to outside the bounds of heap allocated data:

import tensorflow as tf

indices = tf.constant([], shape=[10, 0], dtype=tf.int64)
values = tf.constant([], shape=[0], dtype=tf.int64)
shape = tf.constant([0, 0], shape=[2], dtype=tf.int64)
dense = tf.constant([], shape=[0], dtype=tf.int64)

tf.raw_ops.SparseDenseCwiseMul(
    sp_indices=indices, sp_values=values, sp_shape=shape, dense=dense)

Since the implementation only validates the rank of the input arguments but no constraints between dimensions, an attacker can abuse them to trigger internal CHECK assertions (and cause program termination, denial of service) or to write to memory outside of bounds of heap allocated tensor buffers.

Patches

We have patched the issue in GitHub commit 7ae2af34087fb4b5c8915279efd03da3b81028bc.

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

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-29567"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T19:12:41Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nDue to lack of validation in `tf.raw_ops.SparseDenseCwiseMul`, an attacker can trigger denial of service via `CHECK`-fails or accesses to outside the bounds of heap allocated data:\n\n```python\nimport tensorflow as tf\n\nindices = tf.constant([], shape=[10, 0], dtype=tf.int64)\nvalues = tf.constant([], shape=[0], dtype=tf.int64)\nshape = tf.constant([0, 0], shape=[2], dtype=tf.int64)\ndense = tf.constant([], shape=[0], dtype=tf.int64)\n  \ntf.raw_ops.SparseDenseCwiseMul(\n    sp_indices=indices, sp_values=values, sp_shape=shape, dense=dense)\n```\n\nSince the [implementation](https://github.com/tensorflow/tensorflow/blob/38178a2f7a681a7835bb0912702a134bfe3b4d84/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L68-L80) only validates the rank of the input arguments but no [constraints between dimensions](https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseDenseCwiseMul), an attacker can abuse them to trigger internal `CHECK` assertions (and cause program termination, denial of service) or to write to memory outside of bounds of heap allocated tensor buffers.\n\n### Patches\nWe have patched the issue in GitHub commit [7ae2af34087fb4b5c8915279efd03da3b81028bc](https://github.com/tensorflow/tensorflow/commit/7ae2af34087fb4b5c8915279efd03da3b81028bc).\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-wp3c-xw9g-gpcg",
  "modified": "2024-11-01T17:04:25Z",
  "published": "2021-05-21T14:25:16Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wp3c-xw9g-gpcg"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29567"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/7ae2af34087fb4b5c8915279efd03da3b81028bc"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-495.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-693.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-204.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    },
    {
      "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": "Lack of validation in `SparseDenseCwiseMul`"
}

GHSA-WQ4Q-4VW5-Q8J3

Vulnerability from github – Published: 2024-02-09 15:31 – Updated: 2025-11-04 21:31
VLAI
Details

Improper handling of values in HuginBase::PTools::Transform::transform of Hugin 2022.0.0 leads to an assertion failure.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-25445"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-02-09T15:15:08Z",
    "severity": "HIGH"
  },
  "details": "Improper handling of values in HuginBase::PTools::Transform::transform of Hugin 2022.0.0 leads to an assertion failure.",
  "id": "GHSA-wq4q-4vw5-q8j3",
  "modified": "2025-11-04T21:31:07Z",
  "published": "2024-02-09T15:31:27Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-25445"
    },
    {
      "type": "WEB",
      "url": "https://bugs.launchpad.net/hugin/+bug/2025038"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/NAV7IMHCOIMBEIW42KM2QUJ4MDQLNW3Z"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/NAV7IMHCOIMBEIW42KM2QUJ4MDQLNW3Z"
    }
  ],
  "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-WQ6Q-6M32-9RV9

Vulnerability from github – Published: 2022-09-16 22:14 – Updated: 2022-09-19 19:52
VLAI
Summary
TensorFlow vulnerable to `CHECK` fail in `SetSize`
Details

Impact

When SetSize receives an input set_shape that is not a 1D tensor, it gives a CHECK fails that can be used to trigger a denial of service attack.

import tensorflow as tf
arg_0=1
arg_1=[1,1]
arg_2=1
arg_3=True
arg_4=''
tf.raw_ops.SetSize(set_indices=arg_0, set_values=arg_1, set_shape=arg_2,
                   validate_indices=arg_3, name=arg_4)

Patches

We have patched the issue in GitHub commit cf70b79d2662c0d3c6af74583641e345fc939467.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.8.0"
            },
            {
              "fixed": "2.8.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.8.0"
            },
            {
              "fixed": "2.8.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.7.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.8.0"
            },
            {
              "fixed": "2.8.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.9.0"
            },
            {
              "fixed": "2.9.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-35993"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-617"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-09-16T22:14:09Z",
    "nvd_published_at": "2022-09-16T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nWhen `SetSize` receives an input `set_shape` that is not a 1D tensor, it gives a `CHECK` fails that can be used to trigger a denial of service attack.\n```python\nimport tensorflow as tf\narg_0=1\narg_1=[1,1]\narg_2=1\narg_3=True\narg_4=\u0027\u0027\ntf.raw_ops.SetSize(set_indices=arg_0, set_values=arg_1, set_shape=arg_2,\n                   validate_indices=arg_3, name=arg_4)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [cf70b79d2662c0d3c6af74583641e345fc939467](https://github.com/tensorflow/tensorflow/commit/cf70b79d2662c0d3c6af74583641e345fc939467).\n\nThe fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.\n\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\n### Attribution\nThis vulnerability has been reported by \u5218\u529b\u6e90, Information System \u0026 Security and Countermeasures Experiments Center, Beijing Institute of Technology.\n",
  "id": "GHSA-wq6q-6m32-9rv9",
  "modified": "2022-09-19T19:52:54Z",
  "published": "2022-09-16T22:14:09Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wq6q-6m32-9rv9"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35993"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/cf70b79d2662c0d3c6af74583641e345fc939467"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "TensorFlow vulnerable to `CHECK` fail in `SetSize`"
}

Mitigation
Implementation

Make sensitive open/close operation non reachable by directly user-controlled data (e.g. open/close resources)

Mitigation
Implementation

Strategy: Input Validation

Perform input validation on user data.

No CAPEC attack patterns related to this CWE.