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GHSA-MX2F-GGFX-V955

Vulnerability from github – Published: 2022-05-13 01:25 – Updated: 2022-05-13 01:25
VLAI
Details

NASM nasm-2.13.03 nasm- 2.14rc15 version 2.14rc15 and earlier contains a memory corruption (crashed) of nasm when handling a crafted file due to function assemble_file(inname, depend_ptr) at asm/nasm.c:482. vulnerability in function assemble_file(inname, depend_ptr) at asm/nasm.c:482. that can result in aborting/crash nasm program. This attack appear to be exploitable via a specially crafted asm file..

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-1000667"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-09-06T17:29:00Z",
    "severity": "MODERATE"
  },
  "details": "NASM nasm-2.13.03 nasm- 2.14rc15 version 2.14rc15 and earlier contains a memory corruption (crashed) of nasm when handling a crafted file due to function assemble_file(inname, depend_ptr) at asm/nasm.c:482. vulnerability in function assemble_file(inname, depend_ptr) at asm/nasm.c:482. that can result in aborting/crash nasm program. This attack appear to be exploitable via a specially crafted asm file..",
  "id": "GHSA-mx2f-ggfx-v955",
  "modified": "2022-05-13T01:25:22Z",
  "published": "2022-05-13T01:25:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-1000667"
    },
    {
      "type": "WEB",
      "url": "https://github.com/cyrillos/nasm/issues/3"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.nasm.us/show_bug.cgi?id=3392507"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2020-07/msg00015.html"
    },
    {
      "type": "WEB",
      "url": "http://lists.opensuse.org/opensuse-security-announce/2020-07/msg00017.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/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.

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