Vulnerability-Lookup

GHSA-2W8H-HCH2-V23H

Vulnerability from github – Published: 2024-10-29 15:32 – Updated: 2024-10-29 15:32

Details

mudler/LocalAI version 2.17.1 allows for arbitrary file write due to improper handling of automatic archive extraction. When model configurations specify additional files as archives (e.g., .tar), these archives are automatically extracted after downloading. This behavior can be exploited to perform a 'tarslip' attack, allowing files to be written to arbitrary locations on the server, bypassing checks that normally restrict files to the models directory. This vulnerability can lead to remote code execution (RCE) by overwriting backend assets used by the server.

Severity

8.1 (High)


                  
                    CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2024-6868"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20",
      "CWE-59"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-10-29T13:15:08Z",
    "severity": "HIGH"
  },
  "details": "mudler/LocalAI version 2.17.1 allows for arbitrary file write due to improper handling of automatic archive extraction. When model configurations specify additional files as archives (e.g., .tar), these archives are automatically extracted after downloading. This behavior can be exploited to perform a \u0027tarslip\u0027 attack, allowing files to be written to arbitrary locations on the server, bypassing checks that normally restrict files to the models directory. This vulnerability can lead to remote code execution (RCE) by overwriting backend assets used by the server.",
  "id": "GHSA-2w8h-hch2-v23h",
  "modified": "2024-10-29T15:32:05Z",
  "published": "2024-10-29T15:32:05Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-6868"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mudler/localai/commit/a181dd0ebc5d3092fc50f61674d552604fe8ef9c"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/752d2376-2d9a-4e17-b462-3c267f9dd229"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-6868 (GCVE-0-2024-6868)

Vulnerability from cvelistv5 – Published: 2024-10-29 12:46 – Updated: 2025-10-15 12:49

Title

Arbitrary File Write in mudler/LocalAI

Summary

Severity

8.1 (High)


                        
                          CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-29 13:19 UTC

CWE

CWE-59 - Improper Link Resolution Before File Access

Assigner

@huntr_ai mitre root

References

2 references

URL	Tags
https://huntr.com/bounties/752d2376-2d9a-4e17-b46…
https://github.com/mudler/localai/commit/a181dd0e…

Impacted products

2 products

Vendor	Product	Version
mudler	mudler/localai	Affected: unspecified , < 2.18.1 (custom)
mudler	localai	Affected: 0 , < 2.18.1 (custom) cpe:2.3:a:mudler:localai::::::::

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{
  "containers": {
    "adp": [
      {
        "affected": [
          {
            "cpes": [
              "cpe:2.3:a:mudler:localai:*:*:*:*:*:*:*:*"
            ],
            "defaultStatus": "unknown",
            "product": "localai",
            "vendor": "mudler",
            "versions": [
              {
                "lessThan": "2.18.1",
                "status": "affected",
                "version": "0",
                "versionType": "custom"
              }
            ]
          }
        ],
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-6868",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-10-29T13:19:07.645269Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2024-10-29T13:33:58.219Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "mudler/localai",
          "vendor": "mudler",
          "versions": [
            {
              "lessThan": "2.18.1",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "mudler/LocalAI version 2.17.1 allows for arbitrary file write due to improper handling of automatic archive extraction. When model configurations specify additional files as archives (e.g., .tar), these archives are automatically extracted after downloading. This behavior can be exploited to perform a \u0027tarslip\u0027 attack, allowing files to be written to arbitrary locations on the server, bypassing checks that normally restrict files to the models directory. This vulnerability can lead to remote code execution (RCE) by overwriting backend assets used by the server."
        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.1,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "NONE",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H",
            "version": "3.0"
          }
        }
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          "descriptions": [
            {
              "cweId": "CWE-59",
              "description": "CWE-59 Improper Link Resolution Before File Access",
              "lang": "en",
              "type": "CWE"
            }
          ]
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      ],
      "providerMetadata": {
        "dateUpdated": "2025-10-15T12:49:47.751Z",
        "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
        "shortName": "@huntr_ai"
      },
      "references": [
        {
          "url": "https://huntr.com/bounties/752d2376-2d9a-4e17-b462-3c267f9dd229"
        },
        {
          "url": "https://github.com/mudler/localai/commit/a181dd0ebc5d3092fc50f61674d552604fe8ef9c"
        }
      ],
      "source": {
        "advisory": "752d2376-2d9a-4e17-b462-3c267f9dd229",
        "discovery": "EXTERNAL"
      },
      "title": "Arbitrary File Write in mudler/LocalAI"
    }
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  "cveMetadata": {
    "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
    "assignerShortName": "@huntr_ai",
    "cveId": "CVE-2024-6868",
    "datePublished": "2024-10-29T12:46:54.732Z",
    "dateReserved": "2024-07-17T21:19:44.930Z",
    "dateUpdated": "2025-10-15T12:49:47.751Z",
    "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.

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.