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CVE-2017-18278 (GCVE-0-2017-18278)

Vulnerability from cvelistv5 – Published: 2019-05-06 22:54 – Updated: 2024-08-05 21:13
VLAI
Summary
An integer underflow may occur due to lack of check when received data length from font_mgr_qsee_request_service is bigger than the minimal value of the segment header, which may result in a buffer overflow, in Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear in MDM9206, MDM9607, MDM9650, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 625, SD 650/52, SD 820, SD 820A, SD 835, SD 845, SD 850.
CWE
  • CWE680: Integer Overflow to Buffer Overflow
References
Impacted products
Vendor Product Version CPE status
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 625
Affected: SD 650/52
Affected: SD 820
Affected: SD 820A
Affected: SD 835
Affected: SD 845
Affected: SD 850
guessed Create a notification for this product.
Date Public
2019-03-25 00:00
Show details on NVD website

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            }
          ],
          "cvssMetricV30": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "LOCAL",
                "availabilityImpact": "HIGH",
                "baseScore": 7.8,
                "baseSeverity": "HIGH",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "HIGH",
                "privilegesRequired": "LOW",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
                "version": "3.0"
              },
              "exploitabilityScore": 1.8,
              "impactScore": 5.9,
              "source": "nvd@nist.gov",
              "type": "Primary"
            }
          ]
        },
        "published": "2019-05-06T23:29:00.737",
        "references": [
          {
            "source": "product-security@qualcomm.com",
            "tags": [
              "Vendor Advisory"
            ],
            "url": "https://www.qualcomm.com/company/product-security/bulletins"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Vendor Advisory"
            ],
            "url": "https://www.qualcomm.com/company/product-security/bulletins"
          }
        ],
        "sourceIdentifier": "product-security@qualcomm.com",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-191"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    }
  }
}



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Taxonomy of the tags.


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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

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Detection rules are retrieved from Rulezet.

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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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