Vulnerability-Lookup

FKIE_CVE-2020-15191

Vulnerability from fkie_nvd - Published: 2020-09-25 19:15 - Updated: 2026-06-17 02:56

Severity

5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

Summary

In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argument is not properly checked. Hence, code following these methods will bind references to null pointers. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

References

URL	Tags
security-advisories@github.com	http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html	Mailing List, Third Party Advisory
security-advisories@github.com	https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8	Patch, Third Party Advisory
security-advisories@github.com	https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1	Third Party Advisory
security-advisories@github.com	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q8qj-fc9q-cphr	Exploit, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108	http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html	Mailing List, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108	https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8	Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108	https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1	Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q8qj-fc9q-cphr	Exploit, Third Party Advisory

Impacted products

Vendor	Product	Version
google	tensorflow	2.2.0
google	tensorflow	2.3.0
opensuse	leap	15.2

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "tensorflow",
          "vendor": "tensorflow",
          "versions": [
            {
              "status": "affected",
              "version": "= 2.2.0"
            },
            {
              "status": "affected",
              "version": "= 2.3.0"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:google:tensorflow:2.2.0:*:*:*:-:*:*:*",
              "matchCriteriaId": "FB9BCD7D-1626-429F-B479-7D2F1E46B9C4",
              "vulnerable": true
            },
            {
              "criteria": "cpe:2.3:a:google:tensorflow:2.3.0:*:*:*:-:*:*:*",
              "matchCriteriaId": "D0A7B69E-9388-48F0-B744-49453EBAF5D5",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    },
    {
      "nodes": [
        {
          "cpeMatch": [
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              "matchCriteriaId": "B009C22E-30A4-4288-BCF6-C3E81DEAF45A",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argument is not properly checked. Hence, code following these methods will bind references to null pointers. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1."
    },
    {
      "lang": "es",
      "value": "En Tensorflow versiones anteriores a 2.2.1 y 2.3.1, si un usuario pasa un argumento no v\u00e1lido hacia \"dlpack.to_dlpack\", las comprobaciones previstas har\u00e1n que las variables se unan a \"nullptr\" mientras se establece una variable \"status\" para la condici\u00f3n de error.\u0026#xa0;Sin embargo, este argumento \"status\" no se comprueba correctamente.\u0026#xa0;Por lo tanto, el c\u00f3digo que sigue estos m\u00e9todos vincular\u00e1 referencias a punteros null.\u0026#xa0;Este es un comportamiento indefinido y se reporta como un error si se compila con \"-fsanitize=null\".\u0026#xa0;El problema es parcheado en el commit 22e07fb204386768e5bcbea563641ea11f96ceb8 y es publicado en TensorFlow versiones 2.2.1 o 2.3.1"
    }
  ],
  "id": "CVE-2020-15191",
  "lastModified": "2026-06-17T02:56:13.927",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 5.0,
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
          "version": "2.0"
        },
        "exploitabilityScore": 10.0,
        "impactScore": 2.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 5.3,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 1.4,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 5.3,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 1.4,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2020-09-25T19:15:14.417",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Mailing List",
        "Third Party Advisory"
      ],
      "url": "http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Patch",
        "Third Party Advisory"
      ],
      "url": "https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
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      ],
      "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Exploit",
        "Third Party Advisory"
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      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q8qj-fc9q-cphr"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
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        "Third Party Advisory"
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    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
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      "url": "https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q8qj-fc9q-cphr"
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  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-20"
        },
        {
          "lang": "en",
          "value": "CWE-476"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-252"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}

CVE-2020-15191 (GCVE-0-2020-15191)

Vulnerability from cvelistv5 – Published: 2020-09-25 18:41 – Updated: 2024-08-04 13:08

Title

Undefined behavior in Tensorflow

Summary

Severity

5.3 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

CWE

CWE-20 - {"CWE-20":"Improper Input Validation"}
CWE-476 - {"CWE-476":"NULL Pointer Dereference"}

Assigner

GitHub_M mitre root

References

4 references

URL	Tags
https://github.com/tensorflow/tensorflow/releases…	x_refsource_MISC
https://github.com/tensorflow/tensorflow/commit/2…	x_refsource_MISC
https://github.com/tensorflow/tensorflow/security…	x_refsource_CONFIRM
http://lists.opensuse.org/opensuse-security-annou…	vendor-advisoryx_refsource_SUSE

Impacted products

1 product

Vendor	Product	Version
tensorflow	tensorflow	Affected: = 2.2.0 Affected: = 2.3.0

Show details on NVD website

JSON

To clipboard

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}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.