Vulnerability-Lookup

GHSA-5G2V-763C-C88M

Vulnerability from github – Published: 2026-09-28 15:31 – Updated: 2026-09-28 15:31

Details

Dell Boot Optimized Server Storage (BOSS), versions prior to 2.2.13.2038, contains an On-Chip Debug and Test Interface With Improper Access Control vulnerability in the SMCU on 17G BOSS-N1 controllers. An unauthenticated attacker with physical access could potentially exploit this vulnerability, leading to Unauthorized access.

Severity

5.1 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2026-80358"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1191"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-28T15:17:23Z",
    "severity": "MODERATE"
  },
  "details": "Dell Boot Optimized Server Storage (BOSS), versions prior to 2.2.13.2038, contains an On-Chip Debug and Test Interface With Improper Access Control vulnerability in the SMCU on 17G BOSS-N1 controllers. An unauthenticated attacker with physical access could potentially exploit this vulnerability, leading to Unauthorized access.",
  "id": "GHSA-5g2v-763c-c88m",
  "modified": "2026-09-28T15:31:54Z",
  "published": "2026-09-28T15:31:54Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80358"
    },
    {
      "type": "WEB",
      "url": "https://www.dell.com/support/kbdoc/en-us/000513073/dsa-2026-402-security-update-for-dell-boot-optimized-server-storage-boss-vulnerability"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:P/AC:H/PR:N/UI:R/S:U/C:L/I:H/A:L",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2026-80358 (GCVE-0-2026-80358)

Vulnerability from cvelistv5 – Published: 2026-09-28 14:20 – Updated: 2026-09-28 16:22

Summary

Severity

5.1 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-09-28 15:46 UTC

CWE

CWE-1191 - On-Chip Debug and Test Interface With Improper Access Control

Assigner

dell CNA under the mitre root

CNA scorecard C 70/100 over 448 records in the last 180 days details

References

1 reference

URL	Tags
https://www.dell.com/support/kbdoc/en-us/00051307…	vendor-advisory

Impacted products

1 product

Vendor	Product	Version
Dell	Boot Optimized Server Storage (BOSS)	Affected: 0 , < 2.2.13.2038 (semver)

Date Public

2026-09-24 06:30

Show details on NVD website

JSON

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                "timestamp": "2026-09-28T15:46:01.024205Z",
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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.
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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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