GHSA-PV3C-5734-RH3H

Vulnerability from github – Published: 2022-05-24 16:45 – Updated: 2024-04-04 00:32
VLAI
Details

A buffer overflow vulnerability in the streaming server provided by hisilicon in HI3516 models allows an unauthenticated attacker to remotely run arbitrary code by sending a special RTSP over HTTP packet. The vulnerability was found in many cameras using hisilicon's hardware and software, as demonstrated by TENVIS cameras 1.3.3.3, 1.2.7.2, 1.2.1.4, 7.1.20.1.2, and 13.1.1.1.7.2; FDT FD7902 11.3.14.1.3 and 10.3.14.1.3; FOSCAM cameras 3.2.1.1.1_0815 and 3.2.2.2.1_0815; and Dericam cameras V11.3.8.1.12.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-11560"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-05-07T16:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "A buffer overflow vulnerability in the streaming server provided by hisilicon in HI3516 models allows an unauthenticated attacker to remotely run arbitrary code by sending a special RTSP over HTTP packet. The vulnerability was found in many cameras using hisilicon\u0027s hardware and software, as demonstrated by TENVIS cameras 1.3.3.3, 1.2.7.2, 1.2.1.4, 7.1.20.1.2, and 13.1.1.1.7.2; FDT FD7902 11.3.14.1.3 and 10.3.14.1.3; FOSCAM cameras 3.2.1.1.1_0815 and 3.2.2.2.1_0815; and Dericam cameras V11.3.8.1.12.",
  "id": "GHSA-pv3c-5734-rh3h",
  "modified": "2024-04-04T00:32:54Z",
  "published": "2022-05-24T16:45:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-11560"
    },
    {
      "type": "WEB",
      "url": "https://gist.github.com/vulnfan1337/e95c2dba75ad93a1a325c6ace950eba9"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}


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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

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Nomenclature

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