Vulnerability-Lookup

GHSA-RRQQ-FFJH-MJXV

Vulnerability from github – Published: 2022-11-19 00:30 – Updated: 2025-04-30 15:30

Details

An information-disclosure vulnerability exists on select NXP devices when configured in Serial Download Protocol (SDP) mode: i.MX RT 1010, i.MX RT 1015, i.MX RT 1020, i.MX RT 1050, i.MX RT 1060, i.MX 6 Family, i.MX 7Dual/Solo, i.MX 7ULP, i.MX 8M Quad, i.MX 8M Mini, and Vybrid. In a device security-enabled configuration, memory contents could potentially leak to physically proximate attackers via the respective SDP port in cold and warm boot attacks. (The recommended mitigation is to completely disable the SDP mode by programming a one-time programmable eFUSE. Customers can contact NXP for additional information.)

Severity

4.6 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2022-45163"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-203"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-11-18T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "An information-disclosure vulnerability exists on select NXP devices when configured in Serial Download Protocol (SDP) mode: i.MX RT 1010, i.MX RT 1015, i.MX RT 1020, i.MX RT 1050, i.MX RT 1060, i.MX 6 Family, i.MX 7Dual/Solo, i.MX 7ULP, i.MX 8M Quad, i.MX 8M Mini, and Vybrid. In a device security-enabled configuration, memory contents could potentially leak to physically proximate attackers via the respective SDP port in cold and warm boot attacks. (The recommended mitigation is to completely disable the SDP mode by programming a one-time programmable eFUSE. Customers can contact NXP for additional information.)",
  "id": "GHSA-rrqq-ffjh-mjxv",
  "modified": "2025-04-30T15:30:40Z",
  "published": "2022-11-19T00:30:55Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-45163"
    },
    {
      "type": "WEB",
      "url": "https://nxp.com"
    },
    {
      "type": "WEB",
      "url": "https://research.nccgroup.com/2022/11/17/cve-2022-45163"
    },
    {
      "type": "WEB",
      "url": "https://research.nccgroup.com/category/technical-advisory"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2022-45163 (GCVE-0-2022-45163)

Vulnerability from cvelistv5 – Published: 2022-11-18 00:00 – Updated: 2025-04-30 14:38

Summary

Severity

5.3 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-30 14:38 UTC

CWE

n/a
CWE-203 - Observable Discrepancy

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2348 records in the last 180 days details

References

3 references

URL	Tags
https://research.nccgroup.com/category/technical-…
https://nxp.com
https://research.nccgroup.com/2022/11/17/cve-2022…

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{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-03T14:09:56.466Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://research.nccgroup.com/category/technical-advisory/"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://nxp.com"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://research.nccgroup.com/2022/11/17/cve-2022-45163/"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "metrics": [
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            "other": {
              "content": {
                "id": "CVE-2022-45163",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-04-30T14:38:25.052695Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "cweId": "CWE-203",
                "description": "CWE-203 Observable Discrepancy",
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                "type": "CWE"
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          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-04-30T14:38:50.059Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
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          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "An information-disclosure vulnerability exists on select NXP devices when configured in Serial Download Protocol (SDP) mode: i.MX RT 1010, i.MX RT 1015, i.MX RT 1020, i.MX RT 1050, i.MX RT 1060, i.MX 6 Family, i.MX 7Dual/Solo, i.MX 7ULP, i.MX 8M Quad, i.MX 8M Mini, and Vybrid. In a device security-enabled configuration, memory contents could potentially leak to physically proximate attackers via the respective SDP port in cold and warm boot attacks. (The recommended mitigation is to completely disable the SDP mode by programming a one-time programmable eFUSE. Customers can contact NXP for additional information.)"
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "PHYSICAL",
            "availabilityImpact": "NONE",
            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AC:L/AV:P/A:N/C:H/I:N/PR:N/S:C/UI:N",
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    "datePublished": "2022-11-18T00:00:00.000Z",
    "dateReserved": "2022-11-11T00:00:00.000Z",
    "dateUpdated": "2025-04-30T14:38:50.059Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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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