GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

FKIE_CVE-2025-12744

Vulnerability from fkie_nvd - Published: 2025-12-03 09:15 - Updated: 2026-06-17 08:32
Severity
8.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
Summary
A flaw was found in the ABRT daemon’s handling of user-supplied mount information.ABRT copies up to 12 characters from an untrusted input and places them directly into a shell command (docker inspect %s) without proper validation. An unprivileged local user can craft a payload that injects shell metacharacters, causing the root-running ABRT process to execute attacker-controlled commands and ultimately gain full root privileges.
References
patrick@puiterwijk.orghttps://access.redhat.com/security/cve/CVE-2025-12744
patrick@puiterwijk.orghttps://bugzilla.redhat.com/show_bug.cgi?id=2412467
Impacted products
Vendor Product Version
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "collectionURL": "https://github.com/abrt/abrt",
          "defaultStatus": "unaffected",
          "packageName": "abrt",
          "versions": [
            {
              "lessThan": "2.17.7",
              "status": "affected",
              "version": "0",
              "versionType": "semver"
            }
          ]
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/o:redhat:enterprise_linux:6"
          ],
          "defaultStatus": "unknown",
          "packageName": "abrt",
          "product": "Red Hat Enterprise Linux 6",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/o:redhat:enterprise_linux:7"
          ],
          "defaultStatus": "unaffected",
          "packageName": "abrt",
          "product": "Red Hat Enterprise Linux 7",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/o:redhat:enterprise_linux:8"
          ],
          "defaultStatus": "affected",
          "packageName": "abrt",
          "product": "Red Hat Enterprise Linux 8",
          "vendor": "Red Hat"
        }
      ],
      "source": "patrick@puiterwijk.org"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "A flaw was found in the ABRT daemon\u2019s handling of user-supplied mount information.ABRT copies up to 12 characters from an untrusted input and places them directly into a shell command (docker inspect %s) without proper validation. An unprivileged local user can craft a payload that injects shell metacharacters, causing the root-running ABRT process to execute attacker-controlled commands and ultimately gain full root privileges."
    }
  ],
  "id": "CVE-2025-12744",
  "lastModified": "2026-06-17T08:32:53.290",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.0,
        "impactScore": 6.0,
        "source": "patrick@puiterwijk.org",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-12744",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-12-03T14:21:48.241054Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-12-03T09:15:46.390",
  "references": [
    {
      "source": "patrick@puiterwijk.org",
      "url": "https://access.redhat.com/security/cve/CVE-2025-12744"
    },
    {
      "source": "patrick@puiterwijk.org",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2412467"
    }
  ],
  "sourceIdentifier": "patrick@puiterwijk.org",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-78"
        }
      ],
      "source": "patrick@puiterwijk.org",
      "type": "Secondary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
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.