FKIE_CVE-2011-2686
Vulnerability from fkie_nvd - Published: 2011-08-05 21:55 - Updated: 2026-06-16 23:31
Severity
Summary
Ruby before 1.8.7-p352 does not reset the random seed upon forking, which makes it easier for context-dependent attackers to predict the values of random numbers by leveraging knowledge of the number sequence obtained in a different child process, a related issue to CVE-2003-0900. NOTE: this issue exists because of a regression during Ruby 1.8.6 development.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ruby-lang | ruby | * | |
| ruby-lang | ruby | 1.8.7 | |
| ruby-lang | ruby | 1.8.7 | |
| ruby-lang | ruby | 1.8.7 | |
| ruby-lang | ruby | 1.8.7-160 | |
| ruby-lang | ruby | 1.8.7-173 | |
| ruby-lang | ruby | 1.8.7-248 | |
| ruby-lang | ruby | 1.8.7-249 | |
| ruby-lang | ruby | 1.8.7-299 | |
| ruby-lang | ruby | 1.8.7-302 | |
| ruby-lang | ruby | 1.8.7-330 | |
| ruby-lang | ruby | 1.8.7-p21 |
{
"affected": [
{
"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Ruby before 1.8.7-p352 does not reset the random seed upon forking, which makes it easier for context-dependent attackers to predict the values of random numbers by leveraging knowledge of the number sequence obtained in a different child process, a related issue to CVE-2003-0900. NOTE: this issue exists because of a regression during Ruby 1.8.6 development."
},
{
"lang": "es",
"value": "Ruby en versiones anteriores a la 1.8.7-p352 no resetea la semilla aleatoria despu\u00e9s de la creacci\u00f3n de procesos (\"forking\"), lo que facilita a atacantes dependientes del contexto predecir los valores de n\u00fameros aleatorios bas\u00e1ndose en el conocimiento de n\u00fameros de secuencia obtenidos de procesos hijo diferentes. Vulnerabilidad relacionada con la CVE-2003-0900. NOTA: este problema existe debido a una regresi\u00f3n durante el desarrollo de Ruby 1.8.6."
}
],
"id": "CVE-2011-2686",
"lastModified": "2026-06-16T23:31:47.733",
"metrics": {
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"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
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"published": "2011-08-05T21:55:04.467",
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}
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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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