GHSA-PRXJ-3GCV-CQRH

Vulnerability from github – Published: 2026-04-01 23:01 – Updated: 2026-04-01 23:01
VLAI
Summary
Tesla Fleet Telemetry allows spoofing telemetry for arbitrary vehicles via compromised vehicle credentials
Details

Summary

A vulnerability in vehicle authentication allows threat actor with valid client credentials (i.e., a private key and certificate from a rooted infotainment system) to impersonate arbitrary VINs when authenticating to the telemetry server.

Impact

The attacker would be able to submit falsified telemetry records for arbitrary VINs.

Severity
5.9 (Medium)
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N
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{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 0.8.0"
      },
      "package": {
        "ecosystem": "Go",
        "name": "github.com/teslamotors/fleet-telemetry"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.9.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-295"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-04-01T23:01:38Z",
    "nvd_published_at": null,
    "severity": "MODERATE"
  },
  "details": "### Summary\nA vulnerability in vehicle authentication allows  threat actor with valid client credentials (i.e., a private key and certificate from a rooted infotainment system) to impersonate arbitrary VINs when authenticating to the telemetry server.\n\n### Impact\nThe attacker would be able to submit falsified telemetry records for arbitrary VINs.",
  "id": "GHSA-prxj-3gcv-cqrh",
  "modified": "2026-04-01T23:01:38Z",
  "published": "2026-04-01T23:01:38Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/teslamotors/fleet-telemetry/security/advisories/GHSA-prxj-3gcv-cqrh"
    },
    {
      "type": "WEB",
      "url": "https://github.com/teslamotors/fleet-telemetry/commit/d5ca0dab55812029fd38eb77f079f74ce4f47286"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/teslamotors/fleet-telemetry"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Tesla Fleet Telemetry allows spoofing telemetry for arbitrary vehicles via compromised vehicle credentials"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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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.
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  • 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.