Vulnerability-Lookup

GHSA-423W-7XWV-VWQW

Vulnerability from github – Published: 2022-05-24 19:04 – Updated: 2022-10-25 19:00

Details

An attacker can modify the address to point to trusted memory to overwrite arbitrary trusted memory. It is recommended to update past 0.6.2 or git commit https://github.com/google/asylo/commit/53ed5d8fd8118ced1466e509606dd2f473707a5c

Severity

7.8 (High)


                  
                    CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2021-22549"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-668"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-06-08T14:15:00Z",
    "severity": "HIGH"
  },
  "details": "An attacker can modify the address to point to trusted memory to overwrite arbitrary trusted memory. It is recommended to update past 0.6.2 or git commit https://github.com/google/asylo/commit/53ed5d8fd8118ced1466e509606dd2f473707a5c",
  "id": "GHSA-423w-7xwv-vwqw",
  "modified": "2022-10-25T19:00:31Z",
  "published": "2022-05-24T19:04:20Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-22549"
    },
    {
      "type": "WEB",
      "url": "https://github.com/google/asylo/commit/ecfcd0008b6f8f63c6fa3cc1b62fcd4a52f2c0ad"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2021-22549 (GCVE-0-2021-22549)

Vulnerability from cvelistv5 – Published: 2021-06-08 13:15 – Updated: 2024-09-17 02:42

Title

Arbitrary enclave memory overwrite vulnerability in Asylo TrustedPrimitives::UntrustedCall

Summary

Severity

6.5 (Medium)


                        
                          CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:L

CWE

CWE-823 - Use of Out-of-range Pointer Offset

Assigner

Google CNA under the Google root

CNA scorecard C 75/100 over 33 records in the last 180 days details

References

1 reference

URL	Tags
https://github.com/google/asylo/commit/ecfcd0008b…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Google LLC	Asylo	Affected: unspecified , ≤ 0.6.2 (custom)

Date Public

2021-03-12 00:00

Credits

Qinkun Bao (Baidu Security) Zhaofeng Chen (Baidu Security) Mingshen Sun (Baidu Security) Kang Li (Baidu Security)

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JSON

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        "providerMetadata": {
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          "value": "Mingshen Sun (Baidu Security)"
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          "lang": "en",
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      "descriptions": [
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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.

Vulnerability timeline

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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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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.

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