Vulnerability-Lookup

GHSA-RF65-FC2P-2GJV

Vulnerability from github – Published: 2024-05-17 21:31 – Updated: 2024-05-17 21:31

Details

joblib v1.4.2 was discovered to contain a deserialization vulnerability via the component joblib.numpy_pickle::NumpyArrayWrapper().read_array().

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{
  "affected": [],
  "aliases": [
    "CVE-2024-34997"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-17T19:15:07Z",
    "severity": null
  },
  "details": "joblib v1.4.2 was discovered to contain a deserialization vulnerability via the component joblib.numpy_pickle::NumpyArrayWrapper().read_array().",
  "id": "GHSA-rf65-fc2p-2gjv",
  "modified": "2024-05-17T21:31:47Z",
  "published": "2024-05-17T21:31:47Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-34997"
    },
    {
      "type": "WEB",
      "url": "https://github.com/joblib/joblib/issues/1582"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2024-34997 (GCVE-0-2024-34997)

Vulnerability from cvelistv5 – Published: 2024-05-17 00:00 – Updated: 2024-08-27 14:40 Disputed

Summary

joblib v1.4.2 was discovered to contain a deserialization vulnerability via the component joblib.numpy_pickle::NumpyArrayWrapper().read_array(). NOTE: this is disputed by the supplier because NumpyArrayWrapper is only used during caching of trusted content.

Severity

7.5 (High)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-08-27 14:36 UTC

CWE

n/a
CWE-502 - Deserialization of Untrusted Data

Assigner

mitre CNA under the mitre root

CNA scorecard E 29/100 over 2267 records in the last 180 days details

References

2 references

URL	Tags
https://github.com/joblib/joblib/issues/977
https://github.com/joblib/joblib/issues/1582

Impacted products

1 product

Vendor	Product	Version
joblib_project	joblib	Affected: 1.4.2 cpe:2.3:a:joblib_project:joblib::::::python::*

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  "containers": {
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        "providerMetadata": {
          "dateUpdated": "2024-08-02T03:07:46.252Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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          {
            "tags": [
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          {
            "tags": [
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      {
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          {
            "cpes": [
              "cpe:2.3:a:joblib_project:joblib:*:*:*:*:*:python:*:*"
            ],
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            "vendor": "joblib_project",
            "versions": [
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        ],
        "metrics": [
          {
            "cvssV3_1": {
              "attackComplexity": "HIGH",
              "attackVector": "NETWORK",
              "availabilityImpact": "HIGH",
              "baseScore": 7.5,
              "baseSeverity": "HIGH",
              "confidentialityImpact": "HIGH",
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                "options": [
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        "providerMetadata": {
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    "cna": {
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            {
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        }
      ],
      "problemTypes": [
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      "providerMetadata": {
        "dateUpdated": "2024-06-17T13:15:38.415Z",
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  "cveMetadata": {
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    "datePublished": "2024-05-17T00:00:00.000Z",
    "dateReserved": "2024-05-09T00:00:00.000Z",
    "dateUpdated": "2024-08-27T14:40:01.605Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

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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.
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