Vulnerability-Lookup

GHSA-JJ4X-QM7Q-JMM9

Vulnerability from github – Published: 2022-05-24 17:17 – Updated: 2022-05-24 17:17

Details

Some Broadcom chips mishandle Bluetooth random-number generation because a low-entropy Pseudo Random Number Generator (PRNG) is used in situations where a Hardware Random Number Generator (HRNG) should have been used to prevent spoofing. This affects, for example, Samsung Galaxy S8, S8+, and Note8 devices with the BCM4361 chipset. The Samsung ID is SVE-2020-16882 (May 2020).

Severity

6.5 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2020-6616"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-338"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-05-08T20:15:00Z",
    "severity": "LOW"
  },
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  "id": "GHSA-jj4x-qm7q-jmm9",
  "modified": "2022-05-24T17:17:31Z",
  "published": "2022-05-24T17:17:31Z",
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      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-6616"
    },
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    },
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      "type": "WEB",
      "url": "https://security.samsungmobile.com/securityUpdate.smsb"
    },
    {
      "type": "WEB",
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      "type": "WEB",
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      "url": "https://twitter.com/naehrdine/status/1255980443368919045"
    },
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      "type": "WEB",
      "url": "https://twitter.com/naehrdine/status/1255981245147877377"
    },
    {
      "type": "WEB",
      "url": "http://bluetooth.lol"
    },
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      "url": "http://seclists.org/fulldisclosure/2020/May/49"
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      "type": "CVSS_V3"
    }
  ]
}

CVE-2020-6616 (GCVE-0-2020-6616)

Vulnerability from cvelistv5 – Published: 2020-05-08 19:50 – Updated: 2024-08-04 09:11

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2339 records in the last 180 days details

References

10 references

URL	Tags
https://security.samsungmobile.com/securityUpdate.smsb	x_refsource_CONFIRM
https://support.apple.com/kb/HT211100	x_refsource_CONFIRM
http://bluetooth.lol	x_refsource_MISC
https://media.ccc.de/v/DiVOC-6-finding_eastereggs…	x_refsource_MISC
https://twitter.com/naehrdine/status/125598124514…	x_refsource_MISC
https://github.com/seemoo-lab/internalblue/blob/m…	x_refsource_MISC
https://twitter.com/naehrdine/status/125598044336…	x_refsource_MISC
https://support.apple.com/kb/HT211168	x_refsource_CONFIRM
http://seclists.org/fulldisclosure/2020/May/49	mailing-listx_refsource_FULLDISC
https://support.apple.com/HT211168	x_refsource_CONFIRM

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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.

Related by attack behaviour

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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