Vulnerability-Lookup

CNVD-2026-09789

Vulnerability from cnvd - Published: 2026-01-30

Title

Apache Hadoop HDFS越界写入漏洞

Description

Apache Hadoop是一套用于在由通用硬件构建的大型集群上运行应用程序的框架。它实现了Map/Reduce编程范型，计算任务会被分割成小块（多次）运行在不同的节点上。 Apache Hadoop存在越界写入漏洞。该漏洞是由于程序未对用户输入的URI进行严格的边界检查。攻击者可利用该漏洞通过远程发送特制的恶意代码，引发客户端崩溃、数据损坏或执行任意代码。

Severity

高

Patch Name

Apache Hadoop HDFS越界写入漏洞的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新: https://issues.apache.org/jira/browse/HDFS-17754

Reference

https://nvd.nist.gov/vuln/detail/CVE-2025-27821

Impacted products

Name
Apache Hadoop >=3.2.0，<3.4.2

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-27821",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-27821"
    }
  },
  "description": "Apache Hadoop\u662f\u4e00\u5957\u7528\u4e8e\u5728\u7531\u901a\u7528\u786c\u4ef6\u6784\u5efa\u7684\u5927\u578b\u96c6\u7fa4\u4e0a\u8fd0\u884c\u5e94\u7528\u7a0b\u5e8f\u7684\u6846\u67b6\u3002\u5b83\u5b9e\u73b0\u4e86Map/Reduce\u7f16\u7a0b\u8303\u578b\uff0c\u8ba1\u7b97\u4efb\u52a1\u4f1a\u88ab\u5206\u5272\u6210\u5c0f\u5757\uff08\u591a\u6b21\uff09\u8fd0\u884c\u5728\u4e0d\u540c\u7684\u8282\u70b9\u4e0a\u3002\n\nApache Hadoop\u5b58\u5728\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u662f\u7531\u4e8e\u7a0b\u5e8f\u672a\u5bf9\u7528\u6237\u8f93\u5165\u7684URI\u8fdb\u884c\u4e25\u683c\u7684\u8fb9\u754c\u68c0\u67e5\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u8fdc\u7a0b\u53d1\u9001\u7279\u5236\u7684\u6076\u610f\u4ee3\u7801\uff0c\u5f15\u53d1\u5ba2\u6237\u7aef\u5d29\u6e83\u3001\u6570\u636e\u635f\u574f\u6216\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0:\r\nhttps://issues.apache.org/jira/browse/HDFS-17754",
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  "number": "CNVD-2026-09789",
  "openTime": "2026-01-30",
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  "patchName": "Apache Hadoop HDFS\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Hadoop \u003e=3.2.0\uff0c\u003c3.4.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-27821",
  "serverity": "\u9ad8",
  "submitTime": "2026-01-30",
  "title": "Apache Hadoop HDFS\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e"
}

CVE-2025-27821 (GCVE-0-2025-27821)

Vulnerability from cvelistv5 – Published: 2026-01-26 09:44 – Updated: 2026-01-26 18:13

Title

HDFS native client: Out of bounds write in URI parser of native HDFS client

Summary

Out-of-bounds Write vulnerability in Apache Hadoop HDFS native client. This issue affects Apache Hadoop: from 3.2.0 before 3.4.2. Users are recommended to upgrade to version 3.4.2, which fixes the issue.

Severity

7.3 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-01-26 18:13 UTC

CWE

CWE-787 - Out-of-bounds Write

Assigner

apache CNA under the mitre root

CNA scorecard B 76/100 over 1199 records in the last 180 days details

References

2 references

URL	Tags
https://lists.apache.org/thread/kwjhyyx0wl2z9b0mw…	vendor-advisory
http://www.openwall.com/lists/oss-security/2026/01/23/7

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	HDFS native client	Affected: 3.2.0 , < 3.4.2 (semver)

Credits

BUI Ngoc Tan

Show details on NVD website

JSON

To clipboard

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  "containers": {
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          "dateUpdated": "2026-01-26T10:08:17.750Z",
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              "baseScore": 7.3,
              "baseSeverity": "HIGH",
              "confidentialityImpact": "LOW",
              "integrityImpact": "LOW",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
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                ],
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                "version": "2.0.3"
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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

Order JSON

How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Publication & reservation Sightings KEV catalogs Other timestamps

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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.

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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