FKIE_CVE-2008-2376
Vulnerability from fkie_nvd - Published: 2008-07-09 00:41 - Updated: 2026-06-16 22:53
Severity
Summary
Integer overflow in the rb_ary_fill function in array.c in Ruby before revision 17756 allows context-dependent attackers to cause a denial of service (crash) or possibly have unspecified other impact via a call to the Array#fill method with a start (aka beg) argument greater than ARY_MAX_SIZE. NOTE: this issue exists because of an incomplete fix for other closely related integer overflows.
References
{
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"vendor": "n/a",
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"source": "secalert@redhat.com"
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"descriptions": [
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"value": "Integer overflow in the rb_ary_fill function in array.c in Ruby before revision 17756 allows context-dependent attackers to cause a denial of service (crash) or possibly have unspecified other impact via a call to the Array#fill method with a start (aka beg) argument greater than ARY_MAX_SIZE. NOTE: this issue exists because of an incomplete fix for other closely related integer overflows."
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"lang": "es",
"value": "Desbordamiento de entero en la funci\u00f3n rb_ary_fill en array.c en Ruby antes de la revisi\u00f3n 17756 que permite a los atacantes dependientes de contesto causar una denegaci\u00f3n de servicios (ca\u00edda) o posiblemente otro impacto no especificado a trav\u00e9s de la llamada al m\u00e9todo Arrray#fill con un argumento de entrada (alias beg) mayor que ARY_MAX_SIZE NOTA: esto existe por un parche incompleto para otros desbordamientos de enteros"
}
],
"id": "CVE-2008-2376",
"lastModified": "2026-06-16T22:53:39.977",
"metrics": {
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"accessVector": "NETWORK",
"authentication": "NONE",
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"baseScore": 7.5,
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"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"published": "2008-07-09T00:41:00.000",
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"url": "http://www.debian.org/security/2008/dsa-1612"
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"url": "https://usn.ubuntu.com/651-1/"
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"url": "https://www.redhat.com/archives/fedora-package-announce/2008-July/msg00112.html"
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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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.
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.
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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.
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