GHSA-FV5R-GP2C-7MWV

Vulnerability from github – Published: 2026-08-11 18:30 – Updated: 2026-08-11 18:30
VLAI
Details

A timing side-channel vulnerability exists in the RSA OAEP decryption implementation. A privileged local attacker with access to the TPM command interface may be able to exploit timing differences to recover information that could allow decryption of ciphertexts encrypted to TPM-managed RSA keys, including the RSA Endorsement Key (EK), including import blobs, credential blobs, and session salts. Under certain conditions, this may also enable the forgery of TPM 2.0 attestations. Refer to TCGVRT0011.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-6727"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-11T16:17:34Z",
    "severity": null
  },
  "details": "A timing side-channel vulnerability exists in the RSA OAEP decryption implementation. A privileged local attacker with access to the TPM command interface may be able to exploit timing differences to recover information that could allow decryption of ciphertexts encrypted to TPM-managed RSA keys, including the RSA Endorsement Key (EK), including import blobs, credential blobs, and session salts. Under certain conditions, this may also enable the forgery of TPM 2.0 attestations. Refer to TCGVRT0011.",
  "id": "GHSA-fv5r-gp2c-7mwv",
  "modified": "2026-08-11T18:30:48Z",
  "published": "2026-08-11T18:30:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-6727"
    },
    {
      "type": "WEB",
      "url": "https://trustedcomputinggroup.org/about/security"
    },
    {
      "type": "WEB",
      "url": "https://trustedcomputinggroup.org/wp-content/uploads/Extended-vrt0010-11-guidance_V1.pdf"
    },
    {
      "type": "WEB",
      "url": "https://trustedcomputinggroup.org/wp-content/uploads/VRT0011-Advisory_Final-1.pdf"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}



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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

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