GHSA-QMH2-H7R6-GM6Q
Vulnerability from github – Published: 2022-05-17 02:54 – Updated: 2022-07-13 21:25
VLAI
Summary
Client BlockTokens not checked in Apache Hadoop
Details
DataNodes in Apache Hadoop 2.0.0 alpha does not check the BlockTokens of clients when Kerberos is enabled and the DataNode has checked out the same BlockPool twice from a NodeName, which might allow remote clients to read arbitrary blocks, write to blocks to which they only have read access, and have other unspecified impacts.
{
"affected": [
{
"package": {
"ecosystem": "Maven",
"name": "org.apache.hadoop:hadoop-client"
},
"ranges": [
{
"events": [
{
"introduced": "2.0.0-alpha"
},
{
"fixed": "2.0.1-alpha"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.0.0-alpha"
]
}
],
"aliases": [
"CVE-2012-3376"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": true,
"github_reviewed_at": "2022-07-13T21:25:16Z",
"nvd_published_at": "2012-07-12T19:55:00Z",
"severity": "HIGH"
},
"details": "DataNodes in Apache Hadoop 2.0.0 alpha does not check the BlockTokens of clients when Kerberos is enabled and the DataNode has checked out the same BlockPool twice from a NodeName, which might allow remote clients to read arbitrary blocks, write to blocks to which they only have read access, and have other unspecified impacts.",
"id": "GHSA-qmh2-h7r6-gm6q",
"modified": "2022-07-13T21:25:16Z",
"published": "2022-05-17T02:54:07Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2012-3376"
},
{
"type": "PACKAGE",
"url": "https://github.com/apache/hadoop"
},
{
"type": "WEB",
"url": "https://seclists.org/fulldisclosure/2012/Jul/78"
},
{
"type": "WEB",
"url": "https://www.cloudera.com/documentation/other/security-bulletins/topics/csb_topic_1.html"
},
{
"type": "WEB",
"url": "http://archives.neohapsis.com/archives/bugtraq/2012-07/0049.html"
}
],
"schema_version": "1.4.0",
"severity": [],
"summary": "Client BlockTokens not checked in Apache Hadoop"
}
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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
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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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