GHSA-V7FX-GJVH-347C

Vulnerability from github – Published: 2026-08-03 18:30 – Updated: 2026-09-23 00:31
VLAI
Details

A TOCTOU (Time-of-Check Time-of-Use) vulnerability in GNU tar's incremental dumpdir 'X' rename handling allows a local attacker with write access to a directory being backed up to influence the restore process if the attacker has access to the system where the restore is being performed. During restoration, files or directories may be created, renamed or overwritten outside the intended extraction directory. This could lead to unauthorized file modification or, in some cases, privilege escalation. Exploitation does not require the attacker to modify or craft the archive, and standard backup and restore workflows—including extracting into a newly created directory without using the -P option do not mitigate the issue.

Severity
4.4 (Medium)
CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:N/I:H/A:N
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{
  "affected": [],
  "aliases": [
    "CVE-2026-18477"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-367"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-03T17:16:33Z",
    "severity": "MODERATE"
  },
  "details": "A TOCTOU (Time-of-Check Time-of-Use) vulnerability in GNU tar\u0027s incremental dumpdir \u0027X\u0027 rename handling allows a local attacker with write access to a directory being backed up to influence the restore process if the attacker has access to the system where the restore is being performed. During restoration, files or directories may be created, renamed or overwritten outside the intended extraction directory. This could lead to unauthorized file modification or, in some cases, privilege escalation. Exploitation does not require the attacker to modify or craft the archive, and standard backup and restore workflows\u2014including extracting into a newly created directory without using the -P option do not mitigate the issue.",
  "id": "GHSA-v7fx-gjvh-347c",
  "modified": "2026-09-23T00:31:13Z",
  "published": "2026-08-03T18:30:47Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-18477"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:49361"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:61581"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:61586"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:61783"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:66018"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:70390"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-18477"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2509735"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:N/I:H/A:N",
      "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

  • 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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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.