CWE-755

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 0.0.30"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "picklescan"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.0.31"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-10156"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-693",
      "CWE-755"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-09-10T19:50:46Z",
    "nvd_published_at": null,
    "severity": "CRITICAL"
  },
  "details": "### Summary\nPicklescan\u0027s ability to scan ZIP archives for malicious pickle files is compromised when the archive contains a file with a bad Cyclic Redundancy Check (CRC). Instead of attempting to scan the files within the archive, whatever the CRC is, Picklescan fails in error and returns no results. This allows attackers to potentially hide malicious pickle payloads within ZIP archives that PyTorch might still be able to load (as PyTorch often disables CRC checks).\n\n\n### Details\nPicklescan likely utilizes Python\u0027s built-in zipfile module to handle ZIP archives. When zipfile encounters a file within an archive that has a mismatch between the declared CRC and the calculated CRC, it can raise an exception (e.g., BadZipFile or a related error). It appears that Picklescan does not try to scan the files whatever the CRC is.\nThis behavior contrasts with PyTorch\u0027s model loading capabilities, which in many cases might bypass CRC checks for ZIP archives - whatever the configuration is. This discrepancy creates a blind spot where a malicious model packaged in a ZIP with a bad CRC could be loaded by PyTorch while being completely missed by Picklescan.\n\n### PoC\n\n1. Download an existing Pytorch model with a bad CRC\n\n`wget \u003chttps://huggingface.co/jinaai/jina-embeddings-v2-base-en/resolve/main/pytorch_model.bin?download=true\u003e -O pytorch_model.bin`\n\n2.  Attempt to scan the corrupted ZIP file with PickleScan:\n\n```\n# Assuming you have Picklescan installed and in your PATH\npicklescan -p pytorch_model.bin\n```\n\n![Screenshot 2025-06-29 at 13 52 07](https://github.com/user-attachments/assets/b7d7aca2-b7cd-4e7d-92f8-32ca4c42a000)\n**Observed Result**: Picklescan returns no results and presents an error message indicating a problem with the ZIP file, but it doesn\u2019t attempt to scan any potentially valid pickle files within the archive.\n\n**Expected Result:** Picklescan should either:\n\n- Attempt to extract and scan other valid files within the ZIP archive, even if some have CRC errors.\n- Report a warning indicating that the ZIP archive has CRC errors and might be incomplete or corrupted, but still attempt to scan any accessible content.\n\n### Impact\n**Severity**: High \n**Affected Users**: Any organization or individual using Picklescan to analyze PyTorch models or other files distributed as ZIP archives for malicious pickle content.\n**Impact Details**: Attackers can craft malicious PyTorch models containing embedded pickle payloads, package them into ZIP archives, and intentionally introduce CRC errors. This would cause Picklescan to fail to analyze the archive, while PyTorch is still able to load the model (depending on its configuration regarding CRC checks). This creates a significant vulnerability where malicious code can be distributed and potentially executed without detection by Picklescan.\n**Ex: Picklescan on HuggingFace goes into error** (https://huggingface.co/jinaai/jina-embeddings-v2-base-en/tree/main)\n![Screenshot 2025-06-29 at 13 55 58](https://github.com/user-attachments/assets/1da2d2ce-ad3e-4bf1-addc-d8a18db5eac9)\n\n**Recommendations:**\nPicklescan should not fail on Bad CRC check, especially if Pytorch is not checking CRC.\nRelaxed Zipfile is perfect to fix this issue:\n```\n--- picklescan/src/picklescan/relaxed_zipfile.py\n+++ picklescan/src/picklescan/relaxed_zipfile.py\n@@ class RelaxedZipFile(zipfile.ZipFile):\n         try:\n             # Skip the file header:\n             fheader = zef_file.read(sizeFileHeader)\n             if len(fheader) != sizeFileHeader:\n                 raise zipfile.BadZipFile(\"Truncated file header\")\n\n             fheader = struct.unpack(structFileHeader, fheader)\n             if fheader[_FH_SIGNATURE] != stringFileHeader:\n                 raise zipfile.BadZipFile(\"Bad magic number for file header\")\n\n             zef_file.read(fheader[_FH_FILENAME_LENGTH])\n             if fheader[_FH_EXTRA_FIELD_LENGTH]:\n                 zef_file.read(fheader[_FH_EXTRA_FIELD_LENGTH])\n\n-            return zipfile.ZipExtFile(zef_file, mode, zinfo, pwd, True)\n+\n+            # Create the ZipExtFile and disable CRC check\n+            ext_file = zipfile.ZipExtFile(zef_file, mode, zinfo, pwd)\n+            # Monkey-patch to skip CRC validation\n+            ext_file._expected_crc = None\n+            return ext_file\n\n         except BaseException:\n             zef_file.close()\n             raise\n```",
  "id": "GHSA-mjqp-26hc-grxg",
  "modified": "2026-06-06T14:43:36Z",
  "published": "2025-09-10T19:50:46Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-mjqp-26hc-grxg"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-10156"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/commit/28a7b4ef753466572bda3313737116eeb9b4e5c5"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mmaitre314/picklescan"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/blob/v0.0.29/src/picklescan/relaxed_zipfile.py#L35"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/picklescan/PYSEC-2025-152.yaml"
    },
    {
      "type": "WEB",
      "url": "https://huggingface.co/jinaai/jina-embeddings-v2-base-en/resolve/main/pytorch_model.bin?download=true"
    },
    {
      "type": "WEB",
      "url": "https://huggingface.co/jinaai/jina-embeddings-v2-base-en/tree/main"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Picklescan: ZIP archive scan bypass is possible through non-exhaustive Cyclic Redundancy Check"
}

{
  "affected": [],
  "aliases": [
    "CVE-2022-20854"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400",
      "CWE-755"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-11-15T21:15:00Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability in the processing of SSH connections of Cisco Firepower Management Center (FMC) and Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to cause a denial of service (DoS) condition on an affected device. This vulnerability is due to improper error handling when an SSH session fails to be established. An attacker could exploit this vulnerability by sending a high rate of crafted SSH connections to the instance. A successful exploit could allow the attacker to cause resource exhaustion, resulting in a reboot on the affected device.",
  "id": "GHSA-mm7h-p3v8-j9f3",
  "modified": "2022-11-18T00:30:18Z",
  "published": "2022-11-16T12:00:21Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-20854"
    },
    {
      "type": "WEB",
      "url": "https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-fmc-dos-OwEunWJN"
    },
    {
      "type": "WEB",
      "url": "https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-fmc-dos-OwEunWJN"
    }
  ],
  "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"
    }
  ]
}

{
  "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-2021-29617"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-755"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-17T21:16:27Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nAn attacker can cause a denial of service via `CHECK`-fail in  `tf.strings.substr` with invalid arguments:\n\n```python \nimport tensorflow as tf\ntf.strings.substr(input=\u0027abc\u0027, len=1, pos=[1,-1])\n```\n\n```python\nimport tensorflow as tf\ntf.strings.substr(input=\u0027abc\u0027, len=1, pos=[1,2])\n```\n\n### Patches\nWe have received a patch for the issue in GitHub commit [890f7164b70354c57d40eda52dcdd7658677c09f](https://github.com/tensorflow/tensorflow/commit/890f7164b70354c57d40eda52dcdd7658677c09f).\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 in [#46900](https://github.com/tensorflow/issues/46900) and fixed in [#46974](https://github.com/tensorflow/issues/46974).",
  "id": "GHSA-mmq6-q8r3-48fm",
  "modified": "2024-11-13T16:28:37Z",
  "published": "2021-05-21T14:28:50Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mmq6-q8r3-48fm"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29617"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/890f7164b70354c57d40eda52dcdd7658677c09f"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-545.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-743.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-254.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/issues/46900"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/issues/46974"
    },
    {
      "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": "Crash in `tf.strings.substr` due to `CHECK`-fail"
}

{
  "affected": [],
  "aliases": [
    "CVE-2021-34593"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-755"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-10-26T10:15:00Z",
    "severity": "HIGH"
  },
  "details": "In CODESYS V2 Runtime Toolkit 32 Bit full and PLCWinNT prior to versions V2.4.7.56 unauthenticated crafted invalid requests may result in several denial-of-service conditions. Running PLC programs may be stopped, memory may be leaked, or further communication clients may be blocked from accessing the PLC.",
  "id": "GHSA-mp42-p5v3-r5p6",
  "modified": "2022-05-24T19:18:51Z",
  "published": "2022-05-24T19:18:51Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-34593"
    },
    {
      "type": "WEB",
      "url": "https://customers.codesys.com/index.php?eID=dumpFile\u0026t=f\u0026f=16877\u0026token=8faab0fc1e069f4edfca5d5aba8146139f67a175\u0026download="
    },
    {
      "type": "WEB",
      "url": "http://packetstormsecurity.com/files/164716/CODESYS-2.4.7.0-Denial-Of-Service.html"
    },
    {
      "type": "WEB",
      "url": "http://packetstormsecurity.com/files/165874/WAGO-750-8xxx-PLC-Denial-Of-Service-User-Enumeration.html"
    },
    {
      "type": "WEB",
      "url": "http://seclists.org/fulldisclosure/2021/Oct/64"
    }
  ],
  "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"
    }
  ]
}

{
  "affected": [],
  "aliases": [
    "CVE-2019-19924"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-755"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-12-24T16:15:00Z",
    "severity": "MODERATE"
  },
  "details": "SQLite 3.30.1 mishandles certain parser-tree rewriting, related to expr.c, vdbeaux.c, and window.c. This is caused by incorrect sqlite3WindowRewrite() error handling.",
  "id": "GHSA-mp99-gxqh-6752",
  "modified": "2022-05-24T17:04:59Z",
  "published": "2022-05-24T17:04:59Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-19924"
    },
    {
      "type": "WEB",
      "url": "https://github.com/sqlite/sqlite/commit/8654186b0236d556aa85528c2573ee0b6ab71be3"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-389290.pdf"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread.html/r58af02e294bd07f487e2c64ffc0a29b837db5600e33b6e698b9d696b@%3Cissues.bookkeeper.apache.org%3E"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread.html/rf4c02775860db415b4955778a131c2795223f61cb8c6a450893651e4@%3Cissues.bookkeeper.apache.org%3E"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20200114-0003"
    },
    {
      "type": "WEB",
      "url": "https://usn.ubuntu.com/4298-1"
    },
    {
      "type": "WEB",
      "url": "https://www.oracle.com/security-alerts/cpuapr2020.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

{
  "affected": [],
  "aliases": [
    "CVE-2021-0478"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-755"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-06-21T17:15:00Z",
    "severity": "HIGH"
  },
  "details": "In updateDrawable of StatusBarIconView.java, there is a possible permission bypass due to an uncaught exception. This could lead to local escalation of privilege by running foreground services without notifying the user, with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-8.1 Android-9Android ID: A-169255797",
  "id": "GHSA-mr9v-396x-gwc8",
  "modified": "2022-05-24T19:05:45Z",
  "published": "2022-05-24T19:05:45Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-0478"
    },
    {
      "type": "WEB",
      "url": "https://source.android.com/security/bulletin/2021-06-01"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

{
  "affected": [],
  "aliases": [
    "CVE-2022-0016"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-755"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-02-10T18:15:00Z",
    "severity": "HIGH"
  },
  "details": "An improper handling of exceptional conditions vulnerability exists within the Connect Before Logon feature of the Palo Alto Networks GlobalProtect app that enables a local attacker to escalate to SYSTEM or root privileges when authenticating with Connect Before Logon under certain circumstances. This issue impacts GlobalProtect app 5.2 versions earlier than GlobalProtect app 5.2.9 on Windows and MacOS. This issue does not affect the GlobalProtect app on other platforms.",
  "id": "GHSA-mrwh-mjvv-r5vh",
  "modified": "2022-02-18T00:00:57Z",
  "published": "2022-02-11T00:00:45Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-0016"
    },
    {
      "type": "WEB",
      "url": "https://security.paloaltonetworks.com/CVE-2022-0016"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

{
  "affected": [],
  "aliases": [
    "CVE-2022-22290"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-755"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-14T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Incorrect download source UI in Downloads in Samsung Internet prior to 16.0.6.23 allows attackers to perform domain spoofing via a crafted HTML page.",
  "id": "GHSA-mrxc-w72r-9933",
  "modified": "2022-01-22T00:01:48Z",
  "published": "2022-01-15T00:00:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-22290"
    },
    {
      "type": "WEB",
      "url": "https://security.samsungmobile.com/serviceWeb.smsb?year=2022\u0026month=1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

{
  "affected": [],
  "aliases": [
    "CVE-2020-25602"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-755"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-09-23T22:15:00Z",
    "severity": "MODERATE"
  },
  "details": "An issue was discovered in Xen through 4.14.x. An x86 PV guest can trigger a host OS crash when handling guest access to MSR_MISC_ENABLE. When a guest accesses certain Model Specific Registers, Xen first reads the value from hardware to use as the basis for auditing the guest access. For the MISC_ENABLE MSR, which is an Intel specific MSR, this MSR read is performed without error handling for a #GP fault, which is the consequence of trying to read this MSR on non-Intel hardware. A buggy or malicious PV guest administrator can crash Xen, resulting in a host Denial of Service. Only x86 systems are vulnerable. ARM systems are not vulnerable. Only Xen versions 4.11 and onwards are vulnerable. 4.10 and earlier are not vulnerable. Only x86 systems that do not implement the MISC_ENABLE MSR (0x1a0) are vulnerable. AMD and Hygon systems do not implement this MSR and are vulnerable. Intel systems do implement this MSR and are not vulnerable. Other manufacturers have not been checked. Only x86 PV guests can exploit the vulnerability. x86 HVM/PVH guests cannot exploit the vulnerability.",
  "id": "GHSA-mv4f-fvpr-9x8h",
  "modified": "2022-10-01T00:00:25Z",
  "published": "2022-05-24T17:29:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-25602"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/4JRXMKEMQRQYWYEPHVBIWUEAVQ3LU4FN"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/DA633Y3G5KX7MKRN4PFEGM3IVTJMBEOM"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/RJZERRBJN6E6STDCHT4JHP4MI6TKBCJE"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/202011-06"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2020/dsa-4769"
    },
    {
      "type": "WEB",
      "url": "https://xenbits.xen.org/xsa/advisory-333.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00008.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

{
  "affected": [],
  "aliases": [
    "CVE-2022-44652"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-755"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-12-12T13:15:00Z",
    "severity": "HIGH"
  },
  "details": "An improper handling of exceptional conditions vulnerability in Trend Micro Apex One and Apex One as a Service could allow a local attacker to escalate privileges on affected installations. Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability.",
  "id": "GHSA-mvvf-9255-8c4p",
  "modified": "2025-04-28T18:30:35Z",
  "published": "2022-12-12T15:30:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-44652"
    },
    {
      "type": "WEB",
      "url": "https://success.trendmicro.com/solution/000291770"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-22-1621"
    }
  ],
  "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"
    }
  ]
}