Vulnerability-Lookup

GHSA-C48Q-WR36-P874

Vulnerability from github – Published: 2022-05-24 16:45 – Updated: 2024-04-04 00:31

Details

While iterating through the models contained in a fixed-size array in the actData structure, which also stores an incorrect number of models that is greater than the size of the array, a buffer overflow occurs in Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear in MDM9206, MDM9607, MDM9650, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 617, SD 625, SD 650/52, SD 820, SD 820A, SD 835

Severity

7.8 (High)


                  
                    CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2017-18274"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-129"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-05-06T23:29:00Z",
    "severity": "HIGH"
  },
  "details": "While iterating through the models contained in a fixed-size array in the actData structure, which also stores an incorrect number of models that is greater than the size of the array, a buffer overflow occurs in Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear in MDM9206, MDM9607, MDM9650, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 617, SD 625, SD 650/52, SD 820, SD 820A, SD 835",
  "id": "GHSA-c48q-wr36-p874",
  "modified": "2024-04-04T00:31:20Z",
  "published": "2022-05-24T16:45:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-18274"
    },
    {
      "type": "WEB",
      "url": "https://www.qualcomm.com/company/product-security/bulletins"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2017-18274 (GCVE-0-2017-18274)

Vulnerability from cvelistv5 – Published: 2019-05-06 22:37 – Updated: 2024-08-05 21:13

Summary

Severity

No CVSS data available.

CWE

CWE129: Improper Validation of Array Index

Assigner

qualcomm mitre root

References

1 reference

URL	Tags
https://www.qualcomm.com/company/product-security…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Qualcomm Technologies, Inc.	Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear	Affected: MDM9206 Affected: MDM9607 Affected: MDM9650 Affected: SD 210/SD 212/SD 205 Affected: SD 425 Affected: SD 430 Affected: SD 450 Affected: SD 617 Affected: SD 625 Affected: SD 650/52 Affected: SD 820 Affected: SD 820A Affected: SD 835

Date Public

2019-03-25 00:00

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            "url": "https://www.qualcomm.com/company/product-security/bulletins"
          }
        ],
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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.

Detection rules are retrieved from Rulezet.

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.