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CVE-2016-8399 (GCVE-0-2016-8399)

Vulnerability from cvelistv5 – Published: 2017-01-12 15:00 – Updated: 2024-08-06 02:20
VLAI
Summary
An elevation of privilege vulnerability in the kernel networking subsystem could enable a local malicious application to execute arbitrary code within the context of the kernel. This issue is rated as Moderate because it first requires compromising a privileged process and current compiler optimizations restrict access to the vulnerable code. Product: Android. Versions: Kernel-3.10, Kernel-3.18. Android ID: A-31349935.
Severity
7.0 (High)
CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE
  • Elevation of privilege
Assigner
References
Impacted products
Vendor Product Version CPE status
Google Inc. Android Affected: Kernel-3.10
Affected: Kernel-3.18
guessed Create a notification for this product.
Date Public
2016-12-05 00:00
Show details on NVD website
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          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Vendor Advisory"
            ],
            "url": "https://source.android.com/security/bulletin/2016-12-01.html"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Third Party Advisory"
            ],
            "url": "https://support.f5.com/csp/article/K23030550?utm_source=f5support\u0026amp%3Butm_medium=RSS"
          }
        ],
        "sourceIdentifier": "security@android.com",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-284"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    },
    "redhat_vex": {
      "aggregate_severity": "Moderate",
      "current_release_date": "2026-06-28T11:33:43+00:00",
      "cve": "CVE-2016-8399",
      "id": "CVE-2016-8399",
      "initial_release_date": "2016-12-05T00:00:00+00:00",
      "product_status:fixed": "475",
      "product_status:known_not_affected": "13",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "kernel: net: Out of bounds stack read in memcpy_fromiovec",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2016/cve-2016-8399.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "moderate",
      "current_release_date": "2026-08-27T01:39:20Z",
      "cve": "CVE-2016-8399",
      "id": "CVE-2016-8399",
      "initial_release_date": "2023-02-15T04:57:08Z",
      "product_status:known_not_affected": "29",
      "product_status:recommended": "315",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2016-8399",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2016-8399.json",
      "version": "13"
    }
  }
}



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Taxonomy of the tags.





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.


Detection rules are retrieved from Rulezet.


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.