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

CWE-125

Allowed

Out-of-bounds Read

Abstraction: Base · Status: Draft

The product reads data past the end, or before the beginning, of the intended buffer.

12396 vulnerabilities reference this CWE, most recent first.

GHSA-MXG2-4HRC-XP23

Vulnerability from github – Published: 2024-01-18 03:30 – Updated: 2024-01-19 21:30
VLAI
Details

In video decoder, there is a possible out of bounds read due to improper input validation. This could lead to local denial of service with no additional execution privileges needed

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-48347"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-01-18T03:15:57Z",
    "severity": "MODERATE"
  },
  "details": "In video decoder, there is a possible out of bounds read due to improper input validation. This could lead to local denial of service with no additional execution privileges needed",
  "id": "GHSA-mxg2-4hrc-xp23",
  "modified": "2024-01-19T21:30:35Z",
  "published": "2024-01-18T03:30:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-48347"
    },
    {
      "type": "WEB",
      "url": "https://www.unisoc.com/en_us/secy/announcementDetail/1745735200442220545"
    }
  ],
  "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-MXGM-XW93-5M49

Vulnerability from github – Published: 2022-10-11 12:00 – Updated: 2022-10-12 12:00
VLAI
Details

An Out-of-Bounds access vulnerability in Trend Micro Apex One could allow a local attacker to create a specially crafted message to cause memory corruption on a certain service process which could lead to local privilege escalation 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.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-41745"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-10-10T21:15:00Z",
    "severity": "HIGH"
  },
  "details": "An Out-of-Bounds access vulnerability in Trend Micro Apex One could allow a local attacker to create a specially crafted message to cause memory corruption on a certain service process which could lead to local privilege escalation 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-mxgm-xw93-5m49",
  "modified": "2022-10-12T12:00:24Z",
  "published": "2022-10-11T12:00:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41745"
    },
    {
      "type": "WEB",
      "url": "https://success.trendmicro.com/solution/000291645"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-22-1401"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-MXH5-G72Q-9W2P

Vulnerability from github – Published: 2022-03-17 00:00 – Updated: 2022-03-24 00:00
VLAI
Details

In cd_ParseMsg of cd_codec.c, there is a possible out of bounds read due to an incorrect bounds check. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-181782896References: N/A

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-39726"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-03-16T15:15:00Z",
    "severity": "HIGH"
  },
  "details": "In cd_ParseMsg of cd_codec.c, there is a possible out of bounds read due to an incorrect bounds check. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-181782896References: N/A",
  "id": "GHSA-mxh5-g72q-9w2p",
  "modified": "2022-03-24T00:00:35Z",
  "published": "2022-03-17T00:00:38Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-39726"
    },
    {
      "type": "WEB",
      "url": "https://source.android.com/security/bulletin/pixel/2022-03-01"
    }
  ],
  "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"
    }
  ]
}

GHSA-MXJ6-8644-GP54

Vulnerability from github – Published: 2024-10-08 09:30 – Updated: 2024-12-10 15:32
VLAI
Details

A vulnerability has been identified in Tecnomatix Plant Simulation V2302 (All versions < V2302.0016), Tecnomatix Plant Simulation V2404 (All versions < V2404.0005). The affected applications contain an out of bounds read past the end of an allocated structure while parsing specially crafted WRL files. This could allow an attacker to execute code in the context of the current process.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-45466"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-10-08T09:15:12Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability has been identified in Tecnomatix Plant Simulation V2302 (All versions \u003c V2302.0016), Tecnomatix Plant Simulation V2404 (All versions \u003c V2404.0005). The affected applications contain an out of bounds read past the end of an allocated structure while parsing specially crafted WRL files. This could allow an attacker to execute code in the context of the current process.",
  "id": "GHSA-mxj6-8644-gp54",
  "modified": "2024-12-10T15:32:30Z",
  "published": "2024-10-08T09:30:53Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-45466"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-583523.html"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-645131.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-MXJ6-M585-6982

Vulnerability from github – Published: 2022-09-03 00:00 – Updated: 2022-09-09 00:01
VLAI
Details

An out-of-bounds read can occur while parsing a server certificate due to improper length check in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables, Snapdragon Wired Infrastructure and Networking

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-22062"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-09-02T12:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "An out-of-bounds read can occur while parsing a server certificate due to improper length check in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice \u0026 Music, Snapdragon Wearables, Snapdragon Wired Infrastructure and Networking",
  "id": "GHSA-mxj6-m585-6982",
  "modified": "2022-09-09T00:01:12Z",
  "published": "2022-09-03T00:00:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-22062"
    },
    {
      "type": "WEB",
      "url": "https://www.qualcomm.com/company/product-security/bulletins/august-2022-bulletin"
    }
  ],
  "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:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-MXJ7-853V-CXHH

Vulnerability from github – Published: 2022-04-30 00:02 – Updated: 2022-04-30 00:02
VLAI
Details

A heap address information leak while using L2CAP_GET_CONF_OPT was discovered in the Linux kernel before 5.1-rc1.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-3459"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-04-11T16:29:00Z",
    "severity": "MODERATE"
  },
  "details": "A heap address information leak while using L2CAP_GET_CONF_OPT was discovered in the Linux kernel before 5.1-rc1.",
  "id": "GHSA-mxj7-853v-cxhh",
  "modified": "2022-04-30T00:02:14Z",
  "published": "2022-04-30T00:02:14Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-3459"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2019:2029"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2019:2043"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2019:3309"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2019:3517"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2020:0740"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.novell.com/show_bug.cgi?id=1120758"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1663176"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/linus/7c9cbd0b5e38a1672fcd137894ace3b042dfbf69"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2019/05/msg00002.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2019/05/msg00041.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2019/05/msg00042.html"
    },
    {
      "type": "WEB",
      "url": "https://lore.kernel.org/linux-bluetooth/20190110062833.GA15047@kroah.com"
    },
    {
      "type": "WEB",
      "url": "https://marc.info/?l=oss-security\u0026m=154721580222522\u0026w=2"
    },
    {
      "type": "WEB",
      "url": "https://people.canonical.com/~ubuntu-security/cve/2019/CVE-2019-3459.html"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2019/06/27/2"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2019/06/27/7"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2019/06/28/1"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2019/06/28/2"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2019/08/12/1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-MXJ9-494W-V3GP

Vulnerability from github – Published: 2024-06-10 21:30 – Updated: 2026-04-02 21:31
VLAI
Details

An out-of-bounds read was addressed with improved input validation. This issue is fixed in macOS Ventura 13.6.7, macOS Monterey 12.7.5, iOS 16.7.8 and iPadOS 16.7.8, tvOS 17.5, visionOS 1.2, iOS 17.5 and iPadOS 17.5, macOS Sonoma 14.5. Processing a maliciously crafted file may lead to unexpected app termination or arbitrary code execution.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-27802"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-06-10T21:15:49Z",
    "severity": "HIGH"
  },
  "details": "An out-of-bounds read was addressed with improved input validation. This issue is fixed in macOS Ventura 13.6.7, macOS Monterey 12.7.5, iOS 16.7.8 and iPadOS 16.7.8, tvOS 17.5, visionOS 1.2, iOS 17.5 and iPadOS 17.5, macOS Sonoma 14.5. Processing a maliciously crafted file may lead to unexpected app termination or arbitrary code execution.",
  "id": "GHSA-mxj9-494w-v3gp",
  "modified": "2026-04-02T21:31:45Z",
  "published": "2024-06-10T21:30:39Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27802"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/120898"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/120899"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/120900"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/120901"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/120903"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/120905"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/120906"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/HT214100"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/HT214101"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/HT214102"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/HT214105"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/HT214106"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/HT214107"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/en-us/HT214108"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/kb/HT214100"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/kb/HT214101"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/kb/HT214102"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/kb/HT214105"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/kb/HT214106"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/kb/HT214107"
    },
    {
      "type": "WEB",
      "url": "https://support.apple.com/kb/HT214108"
    },
    {
      "type": "WEB",
      "url": "http://seclists.org/fulldisclosure/2024/Jun/5"
    }
  ],
  "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-MXJJ-953W-2C2V

Vulnerability from github – Published: 2020-09-25 18:28 – Updated: 2024-10-30 21:17
VLAI
Summary
Data corruption in tensorflow-lite
Details

Impact

When determining the common dimension size of two tensors, TFLite uses a DCHECK which is no-op outside of debug compilation modes: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/internal/types.h#L437-L442

Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors.

Patches

We have patched the issue in 8ee24e7949a20 and will release patch releases for all versions between 1.15 and 2.3.

We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

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": "0"
            },
            {
              "fixed": "1.15.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.0.0"
            },
            {
              "fixed": "2.0.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.1.0"
            },
            {
              "fixed": "2.1.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.2.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.3.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.15.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.0.0"
            },
            {
              "fixed": "2.0.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.1.0"
            },
            {
              "fixed": "2.1.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.2.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.3.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.15.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.0.0"
            },
            {
              "fixed": "2.0.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.1.0"
            },
            {
              "fixed": "2.1.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.2.0"
            },
            {
              "fixed": "2.2.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.2.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.3.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2020-15208"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125",
      "CWE-787"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2020-09-25T17:59:45Z",
    "nvd_published_at": "2020-09-25T19:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nWhen determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes:\nhttps://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/internal/types.h#L437-L442\n\nSince the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors.\n\n### Patches\nWe have patched the issue in 8ee24e7949a20 and will release patch releases for all versions between 1.15 and 2.3.\n\nWe recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.\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-mxjj-953w-2c2v",
  "modified": "2024-10-30T21:17:24Z",
  "published": "2020-09-25T18:28:44Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-15208"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-288.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-323.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-131.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Data corruption in tensorflow-lite"
}

GHSA-MXPF-8VH5-CQFX

Vulnerability from github – Published: 2022-09-16 00:00 – Updated: 2022-09-20 00:00
VLAI
Details

This vulnerability allows remote attackers to execute arbitrary code on affected installations of Ansys SpaceClaim 2022 R1. 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 JT files. The issue results from the lack of proper validation of user-supplied data, which can result in a read past the end of an allocated buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-17044.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-40636"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-09-15T16:15:00Z",
    "severity": "HIGH"
  },
  "details": "This vulnerability allows remote attackers to execute arbitrary code on affected installations of Ansys SpaceClaim 2022 R1. 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 JT files. The issue results from the lack of proper validation of user-supplied data, which can result in a read past the end of an allocated buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-17044.",
  "id": "GHSA-mxpf-8vh5-cqfx",
  "modified": "2022-09-20T00:00:29Z",
  "published": "2022-09-16T00:00:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-40636"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-22-1192"
    }
  ],
  "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-MXPQ-986V-VW6H

Vulnerability from github – Published: 2026-02-10 18:30 – Updated: 2026-02-10 18:30
VLAI
Details

After Effects versions 25.6 and earlier are affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to execute code 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-2026-21322"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-10T18:16:29Z",
    "severity": "HIGH"
  },
  "details": "After Effects versions 25.6 and earlier are affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to execute code 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-mxpq-986v-vw6h",
  "modified": "2026-02-10T18:30:42Z",
  "published": "2026-02-10T18:30:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-21322"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/after_effects/apsb26-15.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"
    }
  ]
}

Mitigation MIT-5
Implementation

Strategy: Input Validation

  • Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
  • When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
  • Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
  • To reduce the likelihood of introducing an out-of-bounds read, ensure that you validate and ensure correct calculations for any length argument, buffer size calculation, or offset. Be especially careful of relying on a sentinel (i.e. special character such as NUL) in untrusted inputs.
Mitigation
Architecture and Design

Strategy: Language Selection

Use a language that provides appropriate memory abstractions.

CAPEC-540: Overread Buffers

An adversary attacks a target by providing input that causes an application to read beyond the boundary of a defined buffer. This typically occurs when a value influencing where to start or stop reading is set to reflect positions outside of the valid memory location of the buffer. This type of attack may result in exposure of sensitive information, a system crash, or arbitrary code execution.