GHSA-Q84W-P2G5-RXW9

Vulnerability from github – Published: 2023-10-19 12:30 – Updated: 2024-04-04 08:47
VLAI
Details

The Texas Instruments OMAP L138 (secure variants) trusted execution environment (TEE) lacks a bounds check on the signature size field in the SK_LOAD module loading routine, present in mask ROM. A module with a sufficiently large signature field causes a stack overflow, affecting secure kernel data pages. This can be leveraged to obtain arbitrary code execution in secure supervisor context by overwriting a SHA256 function pointer in the secure kernel data area when loading a forged, unsigned SK_LOAD module encrypted with the CEK (obtainable through CVE-2022-25332). This constitutes a full break of the TEE security architecture.

Severity
8.2 (High)
CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H
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{
  "affected": [],
  "aliases": [
    "CVE-2022-25334"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-121",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-10-19T10:15:09Z",
    "severity": "HIGH"
  },
  "details": "The Texas Instruments OMAP L138 (secure variants) trusted execution environment (TEE) lacks a bounds check on the signature size field in the SK_LOAD module loading routine, present in mask ROM. A module with a sufficiently large signature field causes a stack overflow, affecting secure kernel data pages. This can be leveraged to obtain arbitrary code execution in secure supervisor context by overwriting a SHA256 function pointer in the secure kernel data area when loading a forged, unsigned SK_LOAD module encrypted with the CEK (obtainable through CVE-2022-25332). This constitutes a full break of the TEE security architecture.",
  "id": "GHSA-q84w-p2g5-rxw9",
  "modified": "2024-04-04T08:47:28Z",
  "published": "2023-10-19T12:30:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-25334"
    },
    {
      "type": "WEB",
      "url": "https://tetraburst.com"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}



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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.

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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


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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.