Vulnerability-Lookup

GSD-2018-5709

Vulnerability from gsd - Updated: 2023-12-13 01:22

Details

An issue was discovered in MIT Kerberos 5 (aka krb5) through 1.16. There is a variable "dbentry->n_key_data" in kadmin/dbutil/dump.c that can store 16-bit data but unknowingly the developer has assigned a "u4" variable to it, which is for 32-bit data. An attacker can use this vulnerability to affect other artifacts of the database as we know that a Kerberos database dump file contains trusted data.

Aliases

CVE-2018-5709

Aliases

CVE-2018-5709

JSON

To clipboard

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  "GSD": {
    "alias": "CVE-2018-5709",
    "description": "An issue was discovered in MIT Kerberos 5 (aka krb5) through 1.16. There is a variable \"dbentry-\u003en_key_data\" in kadmin/dbutil/dump.c that can store 16-bit data but unknowingly the developer has assigned a \"u4\" variable to it, which is for 32-bit data. An attacker can use this vulnerability to affect other artifacts of the database as we know that a Kerberos database dump file contains trusted data.",
    "id": "GSD-2018-5709",
    "references": [
      "https://www.suse.com/security/cve/CVE-2018-5709.html",
      "https://security.archlinux.org/CVE-2018-5709"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
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      "id": "GSD-2018-5709",
      "modified": "2023-12-13T01:22:39.569339Z",
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            "name": "https://github.com/poojamnit/Kerberos-V5-1.16-Vulnerabilities/tree/master/Integer%20Overflow",
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            "accessVector": "NETWORK",
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            "availabilityImpact": "NONE",
            "baseScore": 5.0,
            "confidentialityImpact": "NONE",
            "integrityImpact": "PARTIAL",
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            "version": "2.0"
          },
          "exploitabilityScore": 10.0,
          "impactScore": 2.9,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "MEDIUM",
          "userInteractionRequired": false
        },
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            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
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        }
      },
      "lastModifiedDate": "2021-02-25T17:15Z",
      "publishedDate": "2018-01-16T09:29Z"
    }
  }
}

CVE-2018-5709 (GCVE-0-2018-5709)

Vulnerability from cvelistv5 – Published: 2018-01-16 09:00 – Updated: 2024-08-05 05:40

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://github.com/poojamnit/Kerberos-V5-1.16-Vul…	x_refsource_MISC
https://lists.apache.org/thread.html/rf9fa47ab664…	mailing-listx_refsource_MLIST

Date Public

2018-01-16 00:00

Show details on NVD website

JSON

To clipboard

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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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.