Vulnerability-Lookup

Vulnerability from bitnami_vulndb

Published

2024-03-06 11:20

Modified

2025-05-20 10:02

Summary

Heap buffer overflow in Tensorflow

Details

In Tensorflow before version 2.3.1, the RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Hence, the code is prone to heap buffer overflow. If split_values does not end with a value at least num_values then the while loop condition will trigger a read outside of the bounds of split_values once batch_idx grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "tensorflow",
        "purl": "pkg:bitnami/tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.3.0"
            },
            {
              "fixed": "2.3.1"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
          "type": "CVSS_V3"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2020-15201"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:google:tensorflow:2.3.0:*:*:*:-:*:*:*",
      "cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:*"
    ],
    "severity": "Medium"
  },
  "details": "In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.",
  "id": "BIT-tensorflow-2020-15201",
  "modified": "2025-05-20T10:02:07.006Z",
  "published": "2024-03-06T11:20:38.643Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-15201"
    }
  ],
  "schema_version": "1.5.0",
  "summary": "Heap buffer overflow in Tensorflow"
}

CVE-2020-15201 (GCVE-0-2020-15201)

Vulnerability from cvelistv5 – Published: 2020-09-25 18:46 – Updated: 2024-08-04 13:08

Title

Heap buffer overflow in Tensorflow

Summary

In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

Severity ?

4.8 (Medium)


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

CWE

CWE-20 - {"CWE-20":"Improper Input Validation"}
CWE-122 - {"CWE-122":"Heap-based Buffer Overflow"}

Assigner

GitHub_M

References

URL

Tags

	https://github.com/tensorflow/tensorflow/releases…	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/commit/3…	x_refsource_MISC
	https://github.com/tensorflow/tensorflow/security…	x_refsource_CONFIRM

Impacted products

	Vendor	Product	Version
	tensorflow	tensorflow	Affected: = 2.3.0

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date

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.

Action not permitted

Vulnerability from bitnami_vulndb

CVE-2020-15201 (GCVE-0-2020-15201)

Tags

Sightings

Nomenclature