Vulnerability-Lookup

CNVD-2026-30659

Vulnerability from cnvd - Published: 2026-08-03

Title

Apache Fury反序列化漏洞（CNVD-2026-30659）

Description

Apache Fury是一款高性能序列化框架，支持Java、C++等多种语言，广泛应用于分布式系统、消息队列等场景中处理跨语言或跨进程的数据交换。 Apache Fury在1.4.0之前版本中存在反序列化漏洞。该漏洞是由于在反序列化Java lambda表达式时，未能充分验证lambda捕获类的合法性。攻击者可利用该漏洞通过构造恶意数据绕过框架的类注册检查机制，执行任意代码。

Severity

高

Patch Name

Apache Fury反序列化漏洞（CNVD-2026-30659）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: http://www.openwall.com/lists/oss-security/2026/07/21/4

Reference

https://nvd.nist.gov/vuln/detail/CVE-2026-64606

Impacted products

Name
Apache Fury <1.4.0

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2026-64606",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-64606"
    }
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  "description": "Apache Fury\u662f\u4e00\u6b3e\u9ad8\u6027\u80fd\u5e8f\u5217\u5316\u6846\u67b6\uff0c\u652f\u6301Java\u3001C++\u7b49\u591a\u79cd\u8bed\u8a00\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5206\u5e03\u5f0f\u7cfb\u7edf\u3001\u6d88\u606f\u961f\u5217\u7b49\u573a\u666f\u4e2d\u5904\u7406\u8de8\u8bed\u8a00\u6216\u8de8\u8fdb\u7a0b\u7684\u6570\u636e\u4ea4\u6362\u3002\n\nApache Fury\u57281.4.0\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u53cd\u5e8f\u5217\u5316\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u662f\u7531\u4e8e\u5728\u53cd\u5e8f\u5217\u5316Java lambda\u8868\u8fbe\u5f0f\u65f6\uff0c\u672a\u80fd\u5145\u5206\u9a8c\u8bc1lambda\u6355\u83b7\u7c7b\u7684\u5408\u6cd5\u6027\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u6784\u9020\u6076\u610f\u6570\u636e\u7ed5\u8fc7\u6846\u67b6\u7684\u7c7b\u6ce8\u518c\u68c0\u67e5\u673a\u5236\uff0c\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
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  "number": "CNVD-2026-30659",
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  "products": {
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2026-64606",
  "serverity": "\u9ad8",
  "submitTime": "2026-07-24",
  "title": "Apache Fury\u53cd\u5e8f\u5217\u5316\u6f0f\u6d1e\uff08CNVD-2026-30659\uff09"
}

CVE-2026-64606 (GCVE-0-2026-64606)

Vulnerability from cvelistv5 – Published: 2026-07-21 10:43 – Updated: 2026-07-21 18:28

Title

Apache Fory, Apache Fory: Class-registration bypass through an auto-admitted SerializedLambda capturing interface

Summary

Deserialization of untrusted data vulnerability that may allow class-registration checks to be bypassed during Java lambda deserialization. Only lambda capture class is affected This issue affects Apache Fory: from before 1.4.0. Users are recommended to upgrade to version 1.4.0, which fixes the issue.

Severity

9.8 (Critical)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-21 13:46 UTC

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

apache mitre root

References

2 references

URL	Tags
https://lists.apache.org/thread/py6fbvm9nk1gxdd85…	vendor-advisory
http://www.openwall.com/lists/oss-security/2026/07/21/4

Impacted products

2 products

Vendor	Product	Version
Apache Software Foundation	Apache Fory	Affected: 0.11.0 , < 1.4.0 (semver)
Apache Software Foundation	Apache Fory	Affected: 0.5.0 , < 0.11.0 (semver)

Credits

Charles Vosburgh

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

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.