Vulnerability-Lookup

CNVD-2026-30660

Vulnerability from cnvd - Published: 2026-08-03

Title

Apache Syncope权限许可和访问控制问题漏洞（CNVD-2026-30660）

Description

Apache Syncope是一个开源的身份管理（IdM）平台，主要用于企业环境下的用户身份认证、授权和账户管理。 Apache Syncope存在安全漏洞。该漏洞源于Groovy安全沙箱绕过，具有足够Implementation权限的管理员可创建包含不受信任代码的恶意Groovy类，攻击者可利用该漏洞执行远程代码。

Severity

高

Patch Name

Apache Syncope权限许可和访问控制问题漏洞（CNVD-2026-30660）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://lists.apache.org/thread/2236mlm6hbvs6g16yqz5y9s8bb7q1lo1

Reference

https://nvd.nist.gov/vuln/detail/CVE-2026-63071

Impacted products

Name
['Apache Apache Syncope >=3.0.0-M0，<=3.0.16', 'Apache Apache Syncope >=4.0.0-M0，<=4.0.6', 'Apache Apache Syncope >=4.1.0-M0，<=4.1.1']

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JSON

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    "cve": {
      "cveNumber": "CVE-2026-63071",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-63071"
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  "number": "CNVD-2026-30660",
  "openTime": "2026-08-03",
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  "patchName": "Apache Syncope\u6743\u9650\u8bb8\u53ef\u548c\u8bbf\u95ee\u63a7\u5236\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2026-30660\uff09\u7684\u8865\u4e01",
  "products": {
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      "Apache Apache Syncope \u003e=3.0.0-M0\uff0c\u003c=3.0.16",
      "Apache Apache Syncope \u003e=4.0.0-M0\uff0c\u003c=4.0.6",
      "Apache Apache Syncope \u003e=4.1.0-M0\uff0c\u003c=4.1.1"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2026-63071",
  "serverity": "\u9ad8",
  "submitTime": "2026-07-24",
  "title": "Apache Syncope\u6743\u9650\u8bb8\u53ef\u548c\u8bbf\u95ee\u63a7\u5236\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2026-30660\uff09"
}

CVE-2026-63071 (GCVE-0-2026-63071)

Vulnerability from cvelistv5 – Published: 2026-07-20 14:19 – Updated: 2026-07-21 14:57

Title

Apache Syncope: RCE via Groovy Sandbox bypass

Summary

Improper Isolation or Compartmentalization vulnerability in Apache Syncope. An administrator with adequate entitlements for Implementations can create a malicious Groovy class containing untrusted code bypassing the Groovy security sandbox. This issue affects Apache Syncope: from 3.0.0-M0 through 3.0.16, from 4.0.0-M0 through 4.0.6, from 4.1.0-M0 through 4.1.1. Users are recommended to upgrade to version 4.0.7 / 4.1.2, which fix this issue by tightening the Groovy security sandbox.

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 14:22 UTC

CWE

CWE-653 - Improper Isolation or Compartmentalization

Assigner

apache mitre root

References

2 references

URL	Tags
https://lists.apache.org/thread/2236mlm6hbvs6g16y…	vendor-advisory
http://www.openwall.com/lists/oss-security/2026/0…

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache Syncope	Affected: 3.0.0-M0 , ≤ 3.0.16 (semver) Affected: 4.0.0-M0 , ≤ 4.0.6 (semver) Affected: 4.1.0-M0 , ≤ 4.1.1 (semver)

Credits

elin kai 无聊

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.