Common Weakness Enumeration

CWE-787

Weakness Allowed-with-Review

Out-of-bounds Write

Abstraction: Base · Status: Draft

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

Dimensions

  • Behavior-Type: Write
  • Resource-Type: Memory Buffer
  • Resource-Property: Out-of-bounds
Mapping guidance

This CWE entry is at the Base level of abstraction, which is a preferred level of abstraction for mapping to the root causes of vulnerabilities. However, closer examination is required.

While this CWE is allowed for mapping, it has more specific children that might be a better fit. Carefully read both the name and description to ensure that this mapping is appropriate. Consider the root cause errors that have led to the out-of-bounds write by examining "CanFollow" relationships for this entry.

Relationships and members
ChildOf: CWE-119 · View CWE-1000
ChildOf: CWE-119 · View CWE-1003
ChildOf: CWE-119 · View CWE-1305
ChildOf: CWE-119 · View CWE-1340
Modes of introduction
Implementation
Detection methods

Automated Static Analysis

This weakness can often be detected using automated static analysis tools. Many modern tools use data flow analysis or constraint-based techniques to minimize the number of false positives.

Automated static analysis generally does not account for environmental considerations when reporting out-of-bounds memory operations. This can make it difficult for users to determine which warnings should be investigated first. For example, an analysis tool might report buffer overflows that originate from command line arguments in a program that is not expected to run with setuid or other special privileges.

Effectiveness: High

Detection techniques for buffer-related errors are more mature than for most other weakness types.

Automated Dynamic Analysis

This weakness can be detected using dynamic tools and techniques that interact with the software using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The software's operation may slow down, but it should not become unstable, crash, or generate incorrect results.

Automated Dynamic Analysis

Use tools that are integrated during compilation to insert runtime error-checking mechanisms related to memory safety errors, such as AddressSanitizer (ASan) for C/C++ [REF-1518].

Effectiveness: Moderate

Crafted inputs are necessary to reach the code containing the error, such as generated by fuzzers. Also, these tools may reduce performance, and they only report the error condition - not the original mistake that led to the error.

Content history
Submission: CWE Content Team · MITRE · 2009-10-21 · CWE 1.6
Contribution: "Mapping CWE to 62443" Sub-Working Group · CWE-CAPEC ICS/OT SIG · 2023-04-25 · CWE 4.11

Suggested mappings to ISA/IEC 62443.

Contribution: Abhi Balakrishnan · 2024-02-29 · CWE 4.15

Provided diagram to improve CWE usability

Modification: CWE Content Team · MITRE · 2010-02-16 · CWE 1.8

updated Demonstrative_Examples

Modification: CWE Content Team · MITRE · 2010-09-27 · CWE 1.10

updated Relationships

Modification: CWE Content Team · MITRE · 2011-06-01 · CWE 1.13

updated Common_Consequences

Modification: CWE Content Team · MITRE · 2014-06-23 · CWE 2.7

updated Demonstrative_Examples

Modification: CWE Content Team · MITRE · 2015-12-07 · CWE 2.9

updated Relationships

Modification: CWE Content Team · MITRE · 2018-03-27 · CWE 3.1

updated Description

Modification: CWE Content Team · MITRE · 2019-09-19 · CWE 3.4

updated Applicable_Platforms, Demonstrative_Examples, Detection_Factors, Likelihood_of_Exploit, Observed_Examples, Potential_Mitigations, References, Relationships, Time_of_Introduction

Modification: CWE Content Team · MITRE · 2020-02-24 · CWE 4.0

updated Observed_Examples, Relationships

Modification: CWE Content Team · MITRE · 2020-06-25 · CWE 4.1

updated Observed_Examples

Modification: CWE Content Team · MITRE · 2020-08-20 · CWE 4.2

updated Alternate_Terms, Demonstrative_Examples, Observed_Examples, Relationships

Modification: CWE Content Team · MITRE · 2020-12-10 · CWE 4.3

updated Relationships

Modification: CWE Content Team · MITRE · 2021-03-15 · CWE 4.4

updated Demonstrative_Examples

Modification: CWE Content Team · MITRE · 2021-07-20 · CWE 4.5

updated Demonstrative_Examples, Potential_Mitigations, Relationships

Modification: CWE Content Team · MITRE · 2022-06-28 · CWE 4.8

updated Observed_Examples, Relationships

Modification: CWE Content Team · MITRE · 2022-10-13 · CWE 4.9

updated Applicable_Platforms

Modification: CWE Content Team · MITRE · 2023-01-31 · CWE 4.10

updated Alternate_Terms, Demonstrative_Examples, Description

Modification: CWE Content Team · MITRE · 2023-04-27 · CWE 4.11

updated Potential_Mitigations, References, Relationships, Taxonomy_Mappings

Modification: CWE Content Team · MITRE · 2023-06-29 · CWE 4.12

updated Mapping_Notes, Relationships, Taxonomy_Mappings

Modification: CWE Content Team · MITRE · 2024-02-29 · CWE 4.14

updated Demonstrative_Examples

Modification: CWE Content Team · MITRE · 2024-07-16 · CWE 4.15

updated Alternate_Terms, Common_Consequences, Description, Diagram, Weakness_Ordinalities

Modification: CWE Content Team · MITRE · 2024-11-19 · CWE 4.16

updated Observed_Examples, Relationships

Modification: CWE Content Team · MITRE · 2025-04-03 · CWE 4.17

updated Observed_Examples, Relationships

Modification: CWE Content Team · MITRE · 2025-09-09 · CWE 4.18

updated Affected_Resources, Functional_Areas, References

Modification: CWE Content Team · MITRE · 2025-12-11 · CWE 4.19

updated Applicable_Platforms, Detection_Factors, References, Relationships

Modification: CWE Content Team · MITRE · 2026-04-30 · CWE 4.20

updated Mapping_Notes

Modification: CWE Content Team · MITRE · 2026-10-28 · CWE 5.0

updated Dimensions, Observed_Examples, References, Relationships, Taxonomy_Mappings

16871 vulnerabilities reference this CWE, most recent first.

GHSA-M39H-XJMQ-4VGF

Vulnerability from github – Published: 2023-08-10 21:30 – Updated: 2023-08-10 21:30
VLAI
Details

An attacker can send a specially crafted message to the Wavelink Avalanche Manager, which could result in service disruption or arbitrary code execution.

Thanks to a Researcher at Tenable for finding and reporting.

Fixed in version 6.4.1.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-32560"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-08-10T20:15:10Z",
    "severity": "HIGH"
  },
  "details": "An attacker can send a specially crafted message to the Wavelink Avalanche Manager, which could result in service disruption or arbitrary code execution.\n\nThanks to a Researcher at Tenable for finding and reporting.\n\nFixed in version 6.4.1.",
  "id": "GHSA-m39h-xjmq-4vgf",
  "modified": "2023-08-10T21:30:44Z",
  "published": "2023-08-10T21:30:44Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-32560"
    },
    {
      "type": "WEB",
      "url": "https://forums.ivanti.com/s/article/Avalanche-Vulnerabilities-Addressed-in-6-4-1?language=en_US"
    },
    {
      "type": "WEB",
      "url": "http://packetstormsecurity.com/files/174459/Ivanti-Avalance-Remote-Code-Execution.html"
    },
    {
      "type": "WEB",
      "url": "http://packetstormsecurity.com/files/174698/Ivanti-Avalanche-MDM-Buffer-Overflow.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-M3F9-W3P3-P669

Vulnerability from github – Published: 2021-05-21 14:22 – Updated: 2024-10-30 23:23
VLAI
Summary
Heap buffer overflow in `QuantizedMul`
Details

Impact

An attacker can cause a heap buffer overflow in QuantizedMul by passing in invalid thresholds for the quantization:

import tensorflow as tf

x = tf.constant([256, 328], shape=[1, 2], dtype=tf.quint8)
y = tf.constant([256, 328], shape=[1, 2], dtype=tf.quint8)
min_x = tf.constant([], dtype=tf.float32)
max_x = tf.constant([], dtype=tf.float32)
min_y = tf.constant([], dtype=tf.float32)
max_y = tf.constant([], dtype=tf.float32)

tf.raw_ops.QuantizedMul(x=x, y=y, min_x=min_x, max_x=max_x, min_y=min_y, max_y=max_y)

This is because the implementation assumes that the 4 arguments are always valid scalars and tries to access the numeric value directly:

const float min_x = context->input(2).flat<float>()(0);
const float max_x = context->input(3).flat<float>()(0);
const float min_y = context->input(4).flat<float>()(0);
const float max_y = context->input(5).flat<float>()(0);

However, if any of these tensors is empty, then .flat<T>() is an empty buffer and accessing the element at position 0 results in overflow.

Patches

We have patched the issue in GitHub commit efea03b38fb8d3b81762237dc85e579cc5fc6e87.

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 Ying Wang and Yakun Zhang 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-2021-29535"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-131",
      "CWE-787"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-18T22:38:55Z",
    "nvd_published_at": "2021-05-14T20:15:00Z",
    "severity": "LOW"
  },
  "details": "### Impact\nAn attacker can cause a heap buffer overflow in `QuantizedMul` by passing in invalid thresholds for the quantization:\n\n```python\nimport tensorflow as tf\n\nx = tf.constant([256, 328], shape=[1, 2], dtype=tf.quint8)\ny = tf.constant([256, 328], shape=[1, 2], dtype=tf.quint8)\nmin_x = tf.constant([], dtype=tf.float32)\nmax_x = tf.constant([], dtype=tf.float32)\nmin_y = tf.constant([], dtype=tf.float32)\nmax_y = tf.constant([], dtype=tf.float32)\n\ntf.raw_ops.QuantizedMul(x=x, y=y, min_x=min_x, max_x=max_x, min_y=min_y, max_y=max_y)\n```\n\nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/87cf4d3ea9949051e50ca3f071fc909538a51cd0/tensorflow/core/kernels/quantized_mul_op.cc#L287-L290) assumes that the 4 arguments are always valid scalars and tries to access the numeric value directly:\n\n```cc \nconst float min_x = context-\u003einput(2).flat\u003cfloat\u003e()(0);\nconst float max_x = context-\u003einput(3).flat\u003cfloat\u003e()(0);\nconst float min_y = context-\u003einput(4).flat\u003cfloat\u003e()(0);\nconst float max_y = context-\u003einput(5).flat\u003cfloat\u003e()(0);\n```\n\nHowever, if any of these tensors is empty, then `.flat\u003cT\u003e()` is an empty buffer and accessing the element at position 0 results in overflow.\n\n### Patches\nWe have patched the issue in GitHub commit [efea03b38fb8d3b81762237dc85e579cc5fc6e87](https://github.com/tensorflow/tensorflow/commit/efea03b38fb8d3b81762237dc85e579cc5fc6e87).\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 Ying Wang and Yakun Zhang of Baidu X-Team.",
  "id": "GHSA-m3f9-w3p3-p669",
  "modified": "2024-10-30T23:23:48Z",
  "published": "2021-05-21T14:22:28Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m3f9-w3p3-p669"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29535"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/efea03b38fb8d3b81762237dc85e579cc5fc6e87"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-463.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-661.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-172.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": "Heap buffer overflow in `QuantizedMul`"
}

GHSA-M3FR-3G6G-RC8X

Vulnerability from github – Published: 2022-05-13 01:19 – Updated: 2022-05-13 01:19
VLAI
Details

Exiv2::d2Data in types.cpp in Exiv2 v0.26 allows remote attackers to cause a denial of service (heap-based buffer overflow) via a crafted image file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-17229"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-09-19T22:29:00Z",
    "severity": "MODERATE"
  },
  "details": "Exiv2::d2Data in types.cpp in Exiv2 v0.26 allows remote attackers to cause a denial of service (heap-based buffer overflow) via a crafted image file.",
  "id": "GHSA-m3fr-3g6g-rc8x",
  "modified": "2022-05-13T01:19:24Z",
  "published": "2022-05-13T01:19:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-17229"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Exiv2/exiv2/issues/453"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2020-04/msg00009.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-M3G8-6477-6HQH

Vulnerability from github – Published: 2022-05-17 02:32 – Updated: 2025-04-20 03:35
VLAI
Details

Adobe Acrobat Reader versions 11.0.19 and earlier, 15.006.30280 and earlier, 15.023.20070 and earlier have an exploitable memory corruption vulnerability in the JPEG 2000 engine, related to image scaling. Successful exploitation could lead to arbitrary code execution.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-3044"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-04-12T14:59:00Z",
    "severity": "HIGH"
  },
  "details": "Adobe Acrobat Reader versions 11.0.19 and earlier, 15.006.30280 and earlier, 15.023.20070 and earlier have an exploitable memory corruption vulnerability in the JPEG 2000 engine, related to image scaling. Successful exploitation could lead to arbitrary code execution.",
  "id": "GHSA-m3g8-6477-6hqh",
  "modified": "2025-04-20T03:35:56Z",
  "published": "2022-05-17T02:32:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-3044"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/acrobat/apsb17-11.html"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/97556"
    },
    {
      "type": "WEB",
      "url": "http://www.securitytracker.com/id/1038228"
    },
    {
      "type": "WEB",
      "url": "http://www.zerodayinitiative.com/advisories/ZDI-17-267"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-M3GG-5V93-QRHG

Vulnerability from github – Published: 2023-10-16 06:32 – Updated: 2024-04-04 08:39
VLAI
Details

TOTOLINK X5000R V9.1.0u.6118_B20201102 and TOTOLINK A7000R V9.1.0u.6115_B20201022 was discovered to contain a stack overflow via the http_host parameter in the function loginAuth.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-36950"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-121",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-10-16T06:15:10Z",
    "severity": "CRITICAL"
  },
  "details": "TOTOLINK X5000R V9.1.0u.6118_B20201102 and TOTOLINK A7000R V9.1.0u.6115_B20201022 was discovered to contain a stack overflow via the http_host parameter in the function loginAuth.",
  "id": "GHSA-m3gg-5v93-qrhg",
  "modified": "2024-04-04T08:39:06Z",
  "published": "2023-10-16T06:32:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-36950"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Archerber/bug_submit/blob/main/TOTOLINK/loginauth.md"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-M3H2-GXWC-VPP7

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

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

The specific flaw exists within the parsing of 3DS files. The issue results from the lack of proper validation of user-supplied data, which can result in a write 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-18007.

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{
  "affected": [],
  "aliases": [
    "CVE-2023-34290"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-03T02:15:29Z",
    "severity": "HIGH"
  },
  "details": "Ashlar-Vellum Cobalt Out-Of-Bounds Write Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Ashlar-Vellum Cobalt. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.\n\nThe specific flaw exists within the parsing of 3DS files. The issue results from the lack of proper validation of user-supplied data, which can result in a write 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-18007.",
  "id": "GHSA-m3h2-gxwc-vpp7",
  "modified": "2024-05-03T03:30:52Z",
  "published": "2024-05-03T03:30:51Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-34290"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-23-828"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-M3HJ-MJ2Q-3MXG

Vulnerability from github – Published: 2022-05-13 01:18 – Updated: 2022-05-13 01:18
VLAI
Details

An issue was discovered in Free Lossless Image Format (FLIF) 0.3. The TransformPaletteC::process function in transform/palette_C.hpp allows remote attackers to cause a denial of service (heap-based buffer overflow and application crash) or possibly have unspecified other impact via a crafted PAM image file.

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{
  "affected": [],
  "aliases": [
    "CVE-2018-12109"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-06-11T13:29:00Z",
    "severity": "HIGH"
  },
  "details": "An issue was discovered in Free Lossless Image Format (FLIF) 0.3. The TransformPaletteC\u003cFileIO\u003e::process function in transform/palette_C.hpp allows remote attackers to cause a denial of service (heap-based buffer overflow and application crash) or possibly have unspecified other impact via a crafted PAM image file.",
  "id": "GHSA-m3hj-mj2q-3mxg",
  "modified": "2022-05-13T01:18:59Z",
  "published": "2022-05-13T01:18:59Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-12109"
    },
    {
      "type": "WEB",
      "url": "https://github.com/FLIF-hub/FLIF/issues/513"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-M3JH-5JC7-F446

Vulnerability from github – Published: 2026-07-09 15:32 – Updated: 2026-07-09 15:32
VLAI
Details

Vinchin Backup & Recovery through 9.0.0.86562 contains a heap buffer overflow vulnerability that allows unauthenticated remote attackers to cause process crash or memory corruption by sending a malformed TCP packet with an unchecked body_len field to the agentlink_server service. Attackers can craft a malicious packet that passes an attacker-controlled length directly to recv(), triggering a heap overflow of up to approximately 4 GiB and resulting in process crash or potential memory corruption.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-60094"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-09T14:16:35Z",
    "severity": "MODERATE"
  },
  "details": "Vinchin Backup \u0026 Recovery through 9.0.0.86562 contains a heap buffer overflow vulnerability that allows unauthenticated remote attackers to cause process crash or memory corruption by sending a malformed TCP packet with an unchecked body_len field to the agentlink_server service. Attackers can craft a malicious packet that passes an attacker-controlled length directly to recv(), triggering a heap overflow of up to approximately 4 GiB and resulting in process crash or potential memory corruption.",
  "id": "GHSA-m3jh-5jc7-f446",
  "modified": "2026-07-09T15:32:35Z",
  "published": "2026-07-09T15:32:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-60094"
    },
    {
      "type": "WEB",
      "url": "https://code-white.com/public-vulnerability-list"
    },
    {
      "type": "WEB",
      "url": "https://www.vinchin.com/news/vinchin-backup-recovery-9-0.html"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/vinchin-backup-recovery-heap-buffer-overflow-via-agentlink-server"
    }
  ],
  "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:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:L/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-M3JQ-GG7X-47CQ

Vulnerability from github – Published: 2023-08-01 00:30 – Updated: 2024-04-04 06:27
VLAI
Details

PTC’s KEPServerEX Versions 6.0 to 6.14.263 are vulnerable to being made to read a recursively defined object that leads to uncontrolled resource consumption. KEPServerEX uses OPC UA, a protocol which defines various object types that can be nested to create complex arrays. It does not implement a check to see if such an object is recursively defined, so an attack could send a maliciously created message that the decoder would try to decode until the stack overflowed and the device crashed.

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{
  "affected": [],
  "aliases": [
    "CVE-2023-3825"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-07-31T23:15:10Z",
    "severity": "HIGH"
  },
  "details": "\nPTC\u2019s KEPServerEX Versions 6.0 to 6.14.263 are vulnerable to being made to read a recursively defined object that leads to uncontrolled resource consumption. KEPServerEX uses OPC UA, a protocol which defines various object types that can be nested to create complex arrays. It does not implement a check to see if such an object is recursively defined, so an attack could send a maliciously created message that the decoder would try to decode until the stack overflowed and the device crashed.\n\n",
  "id": "GHSA-m3jq-gg7x-47cq",
  "modified": "2024-04-04T06:27:50Z",
  "published": "2023-08-01T00:30:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-3825"
    },
    {
      "type": "WEB",
      "url": "https://www.cisa.gov/news-events/ics-advisories/icsa-23-208-02"
    }
  ],
  "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-M3MV-MGJG-XQG6

Vulnerability from github – Published: 2026-07-06 21:30 – Updated: 2026-07-06 21:30
VLAI
Details

Memory Corruption when handling flash commands due to outdated LED count values being used after userspace modification.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-21369"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-06T21:16:53Z",
    "severity": "MODERATE"
  },
  "details": "Memory Corruption when handling flash commands due to outdated LED count values being used after userspace modification.",
  "id": "GHSA-m3mv-mgjg-xqg6",
  "modified": "2026-07-06T21:30:42Z",
  "published": "2026-07-06T21:30:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-21369"
    },
    {
      "type": "WEB",
      "url": "https://docs.qualcomm.com/product/publicresources/securitybulletin/july-2026-bulletin.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:C/C:L/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}

Mitigation MIT-3
Requirements

Strategy: Language Selection

  • Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
  • For example, many languages that perform their own memory management, such as Java and Perl, are not subject to buffer overflows. Other languages, such as Ada and C#, typically provide overflow protection, but the protection can be disabled by the programmer.
  • Be wary that a language's interface to native code may still be subject to overflows, even if the language itself is theoretically safe.
Mitigation MIT-4.1
Architecture and Design

Strategy: Libraries or Frameworks

  • Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
  • Examples include the Safe C String Library (SafeStr) by Messier and Viega [REF-57], and the Strsafe.h library from Microsoft [REF-56]. These libraries provide safer versions of overflow-prone string-handling functions.
Mitigation MIT-10
Operation Build and Compilation

Strategy: Environment Hardening

  • Use automatic buffer overflow detection mechanisms that are offered by certain compilers or compiler extensions. Examples include: the Microsoft Visual Studio /GS flag, Fedora/Red Hat FORTIFY_SOURCE GCC flag, StackGuard, and ProPolice, which provide various mechanisms including canary-based detection and range/index checking.
  • D3-SFCV (Stack Frame Canary Validation) from D3FEND [REF-1334] discusses canary-based detection in detail.
Mitigation MIT-9
Implementation
  • Consider adhering to the following rules when allocating and managing an application's memory:
  • Double check that the buffer is as large as specified.
  • When using functions that accept a number of bytes to copy, such as strncpy(), be aware that if the destination buffer size is equal to the source buffer size, it may not NULL-terminate the string.
  • Check buffer boundaries if accessing the buffer in a loop and make sure there is no danger of writing past the allocated space.
  • If necessary, truncate all input strings to a reasonable length before passing them to the copy and concatenation functions.
Mitigation MIT-11
Operation Build and Compilation

Strategy: Environment Hardening

  • Run or compile the software using features or extensions that randomly arrange the positions of a program's executable and libraries in memory. Because this makes the addresses unpredictable, it can prevent an attacker from reliably jumping to exploitable code.
  • Examples include Address Space Layout Randomization (ASLR) [REF-58] [REF-60] and Position-Independent Executables (PIE) [REF-64]. Imported modules may be similarly realigned if their default memory addresses conflict with other modules, in a process known as "rebasing" (for Windows) and "prelinking" (for Linux) [REF-1332] using randomly generated addresses. ASLR for libraries cannot be used in conjunction with prelink since it would require relocating the libraries at run-time, defeating the whole purpose of prelinking.
  • For more information on these techniques see D3-SAOR (Segment Address Offset Randomization) from D3FEND [REF-1335].
Mitigation MIT-12
Operation

Strategy: Environment Hardening

  • Use a CPU and operating system that offers Data Execution Protection (using hardware NX or XD bits) or the equivalent techniques that simulate this feature in software, such as PaX [REF-60] [REF-61]. These techniques ensure that any instruction executed is exclusively at a memory address that is part of the code segment.
  • For more information on these techniques see D3-PSEP (Process Segment Execution Prevention) from D3FEND [REF-1336].
Mitigation MIT-13
Implementation

Replace unbounded copy functions with analogous functions that support length arguments, such as strcpy with strncpy. Create these if they are not available.

No CAPEC attack patterns related to this CWE.