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CVE-2008-5031 (GCVE-0-2008-5031)

Vulnerability from cvelistv5 – Published: 2008-11-10 16:00 – Updated: 2024-08-07 10:40
VLAI
Summary
Multiple integer overflows in Python 2.2.3 through 2.5.1, and 2.6, allow context-dependent attackers to have an unknown impact via a large integer value in the tabsize argument to the expandtabs method, as implemented by (1) the string_expandtabs function in Objects/stringobject.c and (2) the unicode_expandtabs function in Objects/unicodeobject.c. NOTE: this vulnerability reportedly exists because of an incomplete fix for CVE-2008-2315.
Severity
No CVSS data available.
CWE
  • n/a
Assigner
References
Date Public
2008-11-05 00:00
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      "sourceIdentifier": "cve@mitre.org",
      "vulnStatus": "Modified",
      "weaknesses": "[{\"source\": \"nvd@nist.gov\", \"type\": \"Primary\", \"description\": [{\"lang\": \"en\", \"value\": \"CWE-189\"}]}]"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2008-5031\",\"sourceIdentifier\":\"cve@mitre.org\",\"published\":\"2008-11-10T16:15:12.140\",\"lastModified\":\"2026-04-23T00:35:47.467\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Multiple integer overflows in Python 2.2.3 through 2.5.1, and 2.6, allow context-dependent attackers to have an unknown impact via a large integer value in the tabsize argument to the expandtabs method, as implemented by (1) the string_expandtabs function in Objects/stringobject.c and (2) the unicode_expandtabs function in Objects/unicodeobject.c.  NOTE: this vulnerability reportedly exists because of an incomplete fix for CVE-2008-2315.\"},{\"lang\":\"es\",\"value\":\"M\u00faltiples desbordamientos de enteros en Python versiones 2.2.3 hasta 2.5.1 y 2.6, permiten a los atacantes dependiendo del contexto tener un impacto desconocido por medio de un valor entero largo en el argumento tabsize para el m\u00e9todo expandtabs, tal y como es implementado por ( 1) la funci\u00f3n string_expandtabs en el archivo Objects/stringobject.c y (2) la funci\u00f3n unicode_expandtabs en el archivo Objects/unicodeobject.c. NOTA: esta vulnerabilidad se presenta debido a una correcci\u00f3n incompleta para el 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    "redhat_vex": {
      "aggregate_severity": "Low",
      "current_release_date": "2025-11-21T13:14:18+00:00",
      "cve": "CVE-2008-5031",
      "id": "CVE-2008-5031",
      "initial_release_date": "2008-10-19T00:00:00+00:00",
      "product_status:fixed": "362",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "python: stringobject, unicodeobject integer overflows",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2008/cve-2008-5031.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "critical",
      "current_release_date": "2023-12-09T03:37:59Z",
      "cve": "CVE-2008-5031",
      "id": "CVE-2008-5031",
      "initial_release_date": "2023-02-15T06:06:30Z",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2008-5031",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2008-5031.json",
      "version": "4"
    }
  }
}



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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

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.