CWE-476

{
  "affected": [],
  "aliases": [
    "CVE-2023-53561"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-10-04T16:15:51Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnet: wwan: iosm: fix NULL pointer dereference when removing device\n\nIn suspend and resume cycle, the removal and rescan of device ends\nup in NULL pointer dereference.\n\nDuring driver initialization, if the ipc_imem_wwan_channel_init()\nfails to get the valid device capabilities it returns an error and\nfurther no resource (wwan struct) will be allocated. Now in this\nsituation if driver removal procedure is initiated it would result\nin NULL pointer exception since unallocated wwan struct is dereferenced\ninside ipc_wwan_deinit().\n\nipc_imem_run_state_worker() to handle the called functions return value\nand to release the resource in failure case. It also reports the link\ndown event in failure cases. The user space application can handle this\nevent to do a device reset for restoring the device communication.",
  "id": "GHSA-44pm-q7mw-v83g",
  "modified": "2026-02-12T18:30:18Z",
  "published": "2025-10-04T18:31:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-53561"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/60829145f1e2650b31ebe6a0ec70a9725b38fa2c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/862c6e3e26735247d8a4df41fa2421909c3f4d63"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/ee44bacf462db3ec6e4f0dcfa7931e768670d77c"
    }
  ],
  "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"
    }
  ]
}

{
  "affected": [],
  "aliases": [
    "CVE-2025-24997"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-03-11T17:16:37Z",
    "severity": "MODERATE"
  },
  "details": "Null pointer dereference in Windows Kernel Memory allows an authorized attacker to deny service locally.",
  "id": "GHSA-44vj-x828-cfmj",
  "modified": "2025-03-11T18:32:19Z",
  "published": "2025-03-11T18:32:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-24997"
    },
    {
      "type": "WEB",
      "url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-24997"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

{
  "affected": [],
  "aliases": [
    "CVE-2023-30755"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-09-10T10:15:05Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability has been identified in SIMATIC CP 1242-7 V2 (incl. SIPLUS variants) (All versions \u003c V3.5.20), SIMATIC CP 1243-1 (incl. SIPLUS variants) (All versions \u003c V3.5.20), SIMATIC CP 1243-1 DNP3 (incl. SIPLUS variants) (All versions \u003c V3.5.20), SIMATIC CP 1243-1 IEC (incl. SIPLUS variants) (All versions \u003c V3.5.20), SIMATIC CP 1243-7 LTE (All versions \u003c V3.5.20), SIMATIC CP 1243-8 IRC (6GK7243-8RX30-0XE0) (All versions \u003c V3.5.20), SIMATIC HMI Comfort Panels (incl. SIPLUS variants) (All versions), SIMATIC IPC DiagBase (All versions), SIMATIC IPC DiagMonitor (All versions), SIMATIC WinCC Runtime Advanced (All versions), SIPLUS TIM 1531 IRC (6AG1543-1MX00-7XE0) (All versions \u003c V2.4.8), TIM 1531 IRC (6GK7543-1MX00-0XE0) (All versions \u003c V2.4.8). The web server of the affected devices do not properly handle the shutdown or reboot request, which could lead to the clean up of certain resources. \n\nThis could allow a remote attacker with elevated privileges to cause a denial of service condition in the system.",
  "id": "GHSA-44w9-25wr-fjwf",
  "modified": "2024-09-10T12:30:37Z",
  "published": "2024-09-10T12:30:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-30755"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-423808.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:H/AT:N/PR:H/UI:N/VC:N/VI:N/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"
    }
  ]
}

{
  "affected": [],
  "aliases": [
    "CVE-2024-26745"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-04-04T09:15:07Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\npowerpc/pseries/iommu: IOMMU table is not initialized for kdump over SR-IOV\n\nWhen kdump kernel tries to copy dump data over SR-IOV, LPAR panics due\nto NULL pointer exception:\n\n  Kernel attempted to read user page (0) - exploit attempt? (uid: 0)\n  BUG: Kernel NULL pointer dereference on read at 0x00000000\n  Faulting instruction address: 0xc000000020847ad4\n  Oops: Kernel access of bad area, sig: 11 [#1]\n  LE PAGE_SIZE=64K MMU=Radix SMP NR_CPUS=2048 NUMA pSeries\n  Modules linked in: mlx5_core(+) vmx_crypto pseries_wdt papr_scm libnvdimm mlxfw tls psample sunrpc fuse overlay squashfs loop\n  CPU: 12 PID: 315 Comm: systemd-udevd Not tainted 6.4.0-Test102+ #12\n  Hardware name: IBM,9080-HEX POWER10 (raw) 0x800200 0xf000006 of:IBM,FW1060.00 (NH1060_008) hv:phyp pSeries\n  NIP:  c000000020847ad4 LR: c00000002083b2dc CTR: 00000000006cd18c\n  REGS: c000000029162ca0 TRAP: 0300   Not tainted  (6.4.0-Test102+)\n  MSR:  800000000280b033 \u003cSF,VEC,VSX,EE,FP,ME,IR,DR,RI,LE\u003e  CR: 48288244  XER: 00000008\n  CFAR: c00000002083b2d8 DAR: 0000000000000000 DSISR: 40000000 IRQMASK: 1\n  ...\n  NIP _find_next_zero_bit+0x24/0x110\n  LR  bitmap_find_next_zero_area_off+0x5c/0xe0\n  Call Trace:\n    dev_printk_emit+0x38/0x48 (unreliable)\n    iommu_area_alloc+0xc4/0x180\n    iommu_range_alloc+0x1e8/0x580\n    iommu_alloc+0x60/0x130\n    iommu_alloc_coherent+0x158/0x2b0\n    dma_iommu_alloc_coherent+0x3c/0x50\n    dma_alloc_attrs+0x170/0x1f0\n    mlx5_cmd_init+0xc0/0x760 [mlx5_core]\n    mlx5_function_setup+0xf0/0x510 [mlx5_core]\n    mlx5_init_one+0x84/0x210 [mlx5_core]\n    probe_one+0x118/0x2c0 [mlx5_core]\n    local_pci_probe+0x68/0x110\n    pci_call_probe+0x68/0x200\n    pci_device_probe+0xbc/0x1a0\n    really_probe+0x104/0x540\n    __driver_probe_device+0xb4/0x230\n    driver_probe_device+0x54/0x130\n    __driver_attach+0x158/0x2b0\n    bus_for_each_dev+0xa8/0x130\n    driver_attach+0x34/0x50\n    bus_add_driver+0x16c/0x300\n    driver_register+0xa4/0x1b0\n    __pci_register_driver+0x68/0x80\n    mlx5_init+0xb8/0x100 [mlx5_core]\n    do_one_initcall+0x60/0x300\n    do_init_module+0x7c/0x2b0\n\nAt the time of LPAR dump, before kexec hands over control to kdump\nkernel, DDWs (Dynamic DMA Windows) are scanned and added to the FDT.\nFor the SR-IOV case, default DMA window \"ibm,dma-window\" is removed from\nthe FDT and DDW added, for the device.\n\nNow, kexec hands over control to the kdump kernel.\n\nWhen the kdump kernel initializes, PCI busses are scanned and IOMMU\ngroup/tables created, in pci_dma_bus_setup_pSeriesLP(). For the SR-IOV\ncase, there is no \"ibm,dma-window\". The original commit: b1fc44eaa9ba,\nfixes the path where memory is pre-mapped (direct mapped) to the DDW.\nWhen TCEs are direct mapped, there is no need to initialize IOMMU\ntables.\n\niommu_table_setparms_lpar() only considers \"ibm,dma-window\" property\nwhen initiallizing IOMMU table. In the scenario where TCEs are\ndynamically allocated for SR-IOV, newly created IOMMU table is not\ninitialized. Later, when the device driver tries to enter TCEs for the\nSR-IOV device, NULL pointer execption is thrown from iommu_area_alloc().\n\nThe fix is to initialize the IOMMU table with DDW property stored in the\nFDT. There are 2 points to remember:\n\n\t1. For the dedicated adapter, kdump kernel would encounter both\n\t   default and DDW in FDT. In this case, DDW property is used to\n\t   initialize the IOMMU table.\n\n\t2. A DDW could be direct or dynamic mapped. kdump kernel would\n\t   initialize IOMMU table and mark the existing DDW as\n\t   \"dynamic\". This works fine since, at the time of table\n\t   initialization, iommu_table_clear() makes some space in the\n\t   DDW, for some predefined number of TCEs which are needed for\n\t   kdump to succeed.",
  "id": "GHSA-44wr-9xpq-76v2",
  "modified": "2024-10-31T21:31:44Z",
  "published": "2024-04-04T09:30:35Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-26745"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/09a3c1e46142199adcee372a420b024b4fc61051"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/5da6d306f315344af1ca2eff4bd9b10b130f0c28"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/7eb95e0af5c9c2e6fad50356eaf32d216d0e7bc3"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d4d1e4b1513d975961de7bb4f75e450a92d65ebf"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

{
  "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-2021-29513"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T23:42:09Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nCalling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences.\n\nThere are multiple ways to reproduce this, listing a few examples here:\n\n```python\nimport tensorflow as tf\nimport numpy as np\ndata = tf.random.truncated_normal(shape=1,mean=np.float32(20.8739),stddev=779.973,dtype=20,seed=64)\n```\n\n```python\nimport tensorflow as tf\nimport numpy as np\ndata =\ntf.random.stateless_truncated_normal(shape=1,seed=[63,70],mean=np.float32(20.8739),stddev=779.973,dtype=20)\n```\n\n```python\nimport tensorflow as tf\nimport numpy as np\ndata = tf.one_hot(indices=[62,50],depth=136,on_value=np.int32(237),off_value=158,axis=856,dtype=20)\n```\n\n```python\nimport tensorflow as tf\nimport numpy as np\ndata = tf.range(start=np.int32(214),limit=660,delta=129,dtype=20)\n```\n\n```python\nimport tensorflow as tf\nimport numpy as np\ndata = tf.raw_ops.ResourceCountUpTo(resource=np.int32(30), limit=872, T=3)\n```\n\n```python\nimport tensorflow as tf\nimport numpy as np\n\nwriter_array = np.array([1,2],dtype=np.int32)\nwriter_tensor = tf.convert_to_tensor(writer_array,dtype=tf.resource)\n```\n\nAll these examples and similar ones have the same behavior: the [conversion from Python array to C++ array](https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion:\n\n```cc\n  int pyarray_type = PyArray_TYPE(array);\n  PyArray_Descr* descr = PyArray_DESCR(array);\n  switch (pyarray_type) {\n    ...\n    case NPY_VOID:\n      // Quantized types are currently represented as custom struct types.\n      // PyArray_TYPE returns NPY_VOID for structs, and we should look into\n      // descr to derive the actual type.\n      // Direct feeds of certain types of ResourceHandles are represented as a\n      // custom struct type.\n      return PyArrayDescr_to_TF_DataType(descr, out_tf_datatype);\n    ...\n  }\n```\n\nFor the tensor types involved in the above example, the `pyarray_type` is `NPY_VOID` but the `descr` field is such that `descr-\u003efield = NULL`. Then [`PyArrayDescr_to_TF_DataType`](https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L72-L77) will trigger a null dereference:\n\n```cc\nStatus PyArrayDescr_to_TF_DataType(PyArray_Descr* descr,\n                                   TF_DataType* out_tf_datatype) {\n  PyObject* key;\n  PyObject* value;\n  Py_ssize_t pos = 0;\n  if (PyDict_Next(descr-\u003efields, \u0026pos, \u0026key, \u0026value)) {\n    ...\n  }\n}\n```\n\nThis is because the Python\u0027s `PyDict_Next` implementation would dereference the first argument.\n\n### Patches\nWe have patched the issue in GitHub commit [030af767d357d1b4088c4a25c72cb3906abac489](https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489).\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 members of the Aivul Team from Qihoo 360 as well as Ye Zhang and Yakun Zhang of Baidu X-Team.",
  "id": "GHSA-452g-f7fp-9jf7",
  "modified": "2024-10-30T23:13:43Z",
  "published": "2021-05-21T14:20:46Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29513"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-441.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-639.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-150.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": "Type confusion during tensor casts lead to dereferencing null pointers"
}

{
  "affected": [],
  "aliases": [
    "CVE-2021-44922"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-12-21T21:15:00Z",
    "severity": "MODERATE"
  },
  "details": "A null pointer dereference vulnerability exists in gpac 1.1.0 in the BD_CheckSFTimeOffset function, which causes a segmentation fault and application crash.",
  "id": "GHSA-454x-h9g9-7vmj",
  "modified": "2021-12-28T00:01:06Z",
  "published": "2021-12-22T00:00:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-44922"
    },
    {
      "type": "WEB",
      "url": "https://github.com/gpac/gpac/issues/1969"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

{
  "affected": [],
  "aliases": [
    "CVE-2022-22513"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-04-07T19:15:00Z",
    "severity": "MODERATE"
  },
  "details": "An authenticated remote attacker can cause a null pointer dereference in the CmpSettings component of the affected CODESYS products which leads to a crash.",
  "id": "GHSA-4555-4gmg-wpcm",
  "modified": "2022-04-16T00:01:30Z",
  "published": "2022-04-08T00:00:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-22513"
    },
    {
      "type": "WEB",
      "url": "https://customers.codesys.com/index.php?eID=dumpFile\u0026t=f\u0026f=17093\u0026token=15cd8424832ea10dcd4873a409a09a539ee381ca\u0026download="
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

{
  "affected": [],
  "aliases": [
    "CVE-2016-10220"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-04-03T05:59:00Z",
    "severity": "MODERATE"
  },
  "details": "The gs_makewordimagedevice function in base/gsdevmem.c in Artifex Software, Inc. Ghostscript 9.20 allows remote attackers to cause a denial of service (NULL pointer dereference and application crash) via a crafted file that is mishandled in the PDF Transparency module.",
  "id": "GHSA-458q-p5fc-j68h",
  "modified": "2022-05-17T00:27:43Z",
  "published": "2022-05-17T00:27:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-10220"
    },
    {
      "type": "WEB",
      "url": "https://bugs.ghostscript.com/show_bug.cgi?id=697450"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/201708-06"
    },
    {
      "type": "WEB",
      "url": "http://www.debian.org/security/2017/dsa-3838"
    },
    {
      "type": "WEB",
      "url": "http://www.ghostscript.com/cgi-bin/findgit.cgi?daf85701dab05f17e924a48a81edc9195b4a04e8"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

{
  "affected": [],
  "aliases": [
    "CVE-2025-21844"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-03-12T10:15:16Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nsmb: client: Add check for next_buffer in receive_encrypted_standard()\n\nAdd check for the return value of cifs_buf_get() and cifs_small_buf_get()\nin receive_encrypted_standard() to prevent null pointer dereference.",
  "id": "GHSA-45ff-v9gq-xww8",
  "modified": "2026-05-12T15:30:50Z",
  "published": "2025-03-12T12:30:57Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-21844"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-265688.html"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/24e8e4523d3071bc5143b0db9127d511489f7b3b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/554736b583f529ee159aa95af9a0cbc12b5ffc96"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/860ca5e50f73c2a1cef7eefc9d39d04e275417f7"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/9e5d99a4cf2e23c716b44862975548415fae5391"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a9b0b4b29877cb4dc5d0842b59b5ccbacddb85bd"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f277e479eea3d1aa18bc712abe1d2bf3dece2e30"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f618aeb6cad2307e48a641379db610abcf593edf"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2025/05/msg00030.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2025/05/msg00045.html"
    }
  ],
  "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"
    }
  ]
}

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "aubio"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.4.7"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2017-17554"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-08-02T22:37:01Z",
    "nvd_published_at": "2017-12-12T01:29:00Z",
    "severity": "MODERATE"
  },
  "details": "A NULL pointer dereference (DoS) Vulnerability was found in the function `aubio_source_avcodec_readframe` in io/source_avcodec.c of aubio, which may lead to DoS when playing a crafted audio file.",
  "id": "GHSA-45h5-cqqw-9rjw",
  "modified": "2024-09-06T15:28:38Z",
  "published": "2022-05-14T03:07:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-17554"
    },
    {
      "type": "WEB",
      "url": "https://github.com/aubio/aubio/commit/a81b12a3b4174953b3bc7ef4c37103f4d5636740"
    },
    {
      "type": "WEB",
      "url": "https://github.com/IvanCql/vulnerability/blob/master/An%20NULL%20pointer%20dereference(DoS)%20Vulnerability%20was%20found%20in%20function%20%20aubio_source_avcodec_readframe%20of%20aubio.md"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/aubio/aubio"
    },
    {
      "type": "WEB",
      "url": "https://github.com/aubio/aubio/blob/0.4.7/ChangeLog"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/aubio/PYSEC-2017-76.yaml"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Aubio is vulnerable to a NULL pointer dereference"
}