Vulnerability-Lookup

GHSA-7CM3-QP9P-MC2H

Vulnerability from github – Published: 2025-04-30 21:31 – Updated: 2025-04-30 21:31

Details

The specific flaw exists within the ql_atfwd process. The issue results from the lack of proper validation of a user-supplied string before using it to execute a system call. An attacker can leverage this vulnerability to execute code on the target modem in the context of root. Was ZDI-CAN-23201.

Severity

7.8 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2024-6032"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-78"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-04-30T20:15:21Z",
    "severity": "HIGH"
  },
  "details": "Tesla Model S Iris Modem ql_atfwd Command Injection Code Execution Vulnerability. This vulnerability allows local attackers to execute arbitrary code on affected Tesla Model S vehicles. An attacker must first obtain the ability to execute code on the target system in order to exploit this vulnerability.\n \nThe specific flaw exists within the ql_atfwd process. The issue results from the lack of proper validation of a user-supplied string before using it to execute a system call. An attacker can leverage this vulnerability to execute code on the target modem in the context of root. Was ZDI-CAN-23201.",
  "id": "GHSA-7cm3-qp9p-mc2h",
  "modified": "2025-04-30T21:31:49Z",
  "published": "2025-04-30T21:31:49Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-6032"
    },
    {
      "type": "WEB",
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-25-264"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-6032 (GCVE-0-2024-6032)

Vulnerability from cvelistv5 – Published: 2025-04-30 20:00 – Updated: 2025-04-30 20:17

Title

Tesla Model S Iris Modem ql_atfwd Command Injection Code Execution Vulnerability

Summary

Tesla Model S Iris Modem ql_atfwd Command Injection Code Execution Vulnerability. This vulnerability allows local attackers to execute arbitrary code on affected Tesla Model S vehicles. An attacker must first obtain the ability to execute code on the target system in order to exploit this vulnerability. The specific flaw exists within the ql_atfwd process. The issue results from the lack of proper validation of a user-supplied string before using it to execute a system call. An attacker can leverage this vulnerability to execute code on the target modem in the context of root. Was ZDI-CAN-23201.

Severity

7.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-30 20:16 UTC

CWE

CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')

Assigner

zdi mitre root

References

1 reference

URL	Tags
https://www.zerodayinitiative.com/advisories/ZDI-…	x_research-advisory

Impacted products

1 product

Vendor	Product	Version
Tesla	Model S	Affected: 2023.44.29 with the AG525RGLAAR01A16M4G_OCPU_02.003.10.003 connectivity card

Date Public

2025-04-30 19:58

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-6032",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-04-30T20:16:50.582107Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-04-30T20:17:09.792Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "defaultStatus": "unknown",
          "product": "Model S",
          "vendor": "Tesla",
          "versions": [
            {
              "status": "affected",
              "version": "2023.44.29 with the AG525RGLAAR01A16M4G_OCPU_02.003.10.003 connectivity card"
            }
          ]
        }
      ],
      "dateAssigned": "2024-06-14T23:42:00.592Z",
      "datePublic": "2025-04-30T19:58:18.313Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "Tesla Model S Iris Modem ql_atfwd Command Injection Code Execution Vulnerability. This vulnerability allows local attackers to execute arbitrary code on affected Tesla Model S vehicles. An attacker must first obtain the ability to execute code on the target system in order to exploit this vulnerability.\n \nThe specific flaw exists within the ql_atfwd process. The issue results from the lack of proper validation of a user-supplied string before using it to execute a system call. An attacker can leverage this vulnerability to execute code on the target modem in the context of root. Was ZDI-CAN-23201."
        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.0"
          },
          "format": "CVSS"
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-78",
              "description": "CWE-78: Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)",
              "lang": "en",
              "type": "CWE"
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      ],
      "providerMetadata": {
        "dateUpdated": "2025-04-30T20:00:40.719Z",
        "orgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
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      "references": [
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          "name": "ZDI-25-264",
          "tags": [
            "x_research-advisory"
          ],
          "url": "https://www.zerodayinitiative.com/advisories/ZDI-25-264/"
        }
      ],
      "source": {
        "lang": "en",
        "value": "Synacktiv (@Synacktiv)"
      },
      "title": "Tesla Model S Iris Modem ql_atfwd Command Injection Code Execution Vulnerability"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
    "assignerShortName": "zdi",
    "cveId": "CVE-2024-6032",
    "datePublished": "2025-04-30T20:00:40.719Z",
    "dateReserved": "2024-06-14T23:42:00.564Z",
    "dateUpdated": "2025-04-30T20:17:09.792Z",
    "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.

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.

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GHSA-7CM3-QP9P-MC2H

CVE-2024-6032 (GCVE-0-2024-6032)

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