GHSA-G48F-FF5H-5F64
Vulnerability from github – Published: 2022-05-17 03:44 – Updated: 2022-07-06 20:26
VLAI
Summary
Exposure of Sensitive Information to an Unauthorized Actor in Apache Hadoop
Details
Apache Hadoop 2.6.x encrypts intermediate data generated by a MapReduce job and stores it along with the encryption key in a credentials file on disk when the Intermediate data encryption feature is enabled, which allows local users to obtain sensitive information by reading the file.
Severity
6.2 (Medium)
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 2.6.4"
},
"package": {
"ecosystem": "Maven",
"name": "org.apache.hadoop:hadoop-common"
},
"ranges": [
{
"events": [
{
"introduced": "2.6.0"
},
{
"fixed": "2.6.5"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2015-1776"
],
"database_specific": {
"cwe_ids": [
"CWE-200"
],
"github_reviewed": true,
"github_reviewed_at": "2022-07-06T20:26:12Z",
"nvd_published_at": "2016-04-19T21:59:00Z",
"severity": "MODERATE"
},
"details": "Apache Hadoop 2.6.x encrypts intermediate data generated by a MapReduce job and stores it along with the encryption key in a credentials file on disk when the Intermediate data encryption feature is enabled, which allows local users to obtain sensitive information by reading the file.",
"id": "GHSA-g48f-ff5h-5f64",
"modified": "2022-07-06T20:26:12Z",
"published": "2022-05-17T03:44:57Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2015-1776"
},
{
"type": "WEB",
"url": "http://mail-archives.apache.org/mod_mbox/hadoop-general/201602.mbox/%3CCAGCyb56CPgQMcxZ7jP87SfM5OKGx+E49DtrzCTQ6+nQf2a4nSA@mail.gmail.com%3E"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
],
"summary": "Exposure of Sensitive Information to an Unauthorized Actor in Apache Hadoop"
}
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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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