CVE-2011-1768 (GCVE-0-2011-1768)
Vulnerability from cvelistv5 – Published: 2012-06-13 10:00 – Updated: 2024-08-06 22:37
VLAI
EPSS
VEX
Summary
The tunnels implementation in the Linux kernel before 2.6.34, when tunnel functionality is configured as a module, allows remote attackers to cause a denial of service (OOPS) by sending a packet during module loading.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
5 references
| URL | Tags |
|---|---|
| http://ftp.osuosl.org/pub/linux/kernel/v2.6/Chang… | x_refsource_CONFIRM |
| https://bugzilla.redhat.com/show_bug.cgi?id=702303 | x_refsource_CONFIRM |
| http://www.openwall.com/lists/oss-security/2011/05/05/6 | mailing-listx_refsource_MLIST |
| https://github.com/torvalds/linux/commit/d5aa407f… | x_refsource_CONFIRM |
| http://git.kernel.org/?p=linux/kernel/git/torvald… | x_refsource_CONFIRM |
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"tags": [
"Exploit",
"Patch"
],
"url": "https://github.com/torvalds/linux/commit/d5aa407f59f5b83d2c50ec88f5bf56d40f1f8978"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-362"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2025-11-21T12:52:57+00:00",
"cve": "CVE-2011-1768",
"id": "CVE-2011-1768",
"initial_release_date": "2011-01-01T00:00:00+00:00",
"product_status:fixed": "63",
"product_status:known_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: netns vs proto registration ordering",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2011/cve-2011-1768.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2023-02-15T05:53:20Z",
"cve": "CVE-2011-1768",
"id": "CVE-2011-1768",
"initial_release_date": "2023-02-15T05:53:20Z",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2011-1768",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2011-1768.json",
"version": "2"
}
}
}
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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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