Vulnerability-Lookup

CNVD-2020-31758

Vulnerability from cnvd - Published: 2020-06-05

Title

Apache Syncope代码注入漏洞

Description

Apache Syncope是美国阿帕奇（Apache）基金会的一套用于企业环境中的开源数字身份管理系统。该系统支持身份管理、角色配置等。 Apache Syncope 2.1.6之前版本中存在代码注入漏洞，攻击者可利用该漏洞注入任意的Java EL表达式，执行任意的Java代码。

Severity

高

Patch Name

Apache Syncope代码注入漏洞的补丁

Patch Description

Apache Syncope是美国阿帕奇（Apache）基金会的一套用于企业环境中的开源数字身份管理系统。该系统支持身份管理、角色配置等。 Apache Syncope 2.1.6之前版本中存在代码注入漏洞，攻击者可利用该漏洞注入任意的Java EL表达式，执行任意的Java代码。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： http://syncope.apache.org/security

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-1959

Impacted products

Name
Apache Syncope <2.1.6

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-1959"
    }
  },
  "description": "Apache Syncope\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u7528\u4e8e\u4f01\u4e1a\u73af\u5883\u4e2d\u7684\u5f00\u6e90\u6570\u5b57\u8eab\u4efd\u7ba1\u7406\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u652f\u6301\u8eab\u4efd\u7ba1\u7406\u3001\u89d2\u8272\u914d\u7f6e\u7b49\u3002\n\nApache Syncope 2.1.6\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6ce8\u5165\u4efb\u610f\u7684Java EL\u8868\u8fbe\u5f0f\uff0c\u6267\u884c\u4efb\u610f\u7684Java\u4ee3\u7801\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttp://syncope.apache.org/security",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-31758",
  "openTime": "2020-06-05",
  "patchDescription": "Apache Syncope\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u7528\u4e8e\u4f01\u4e1a\u73af\u5883\u4e2d\u7684\u5f00\u6e90\u6570\u5b57\u8eab\u4efd\u7ba1\u7406\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u652f\u6301\u8eab\u4efd\u7ba1\u7406\u3001\u89d2\u8272\u914d\u7f6e\u7b49\u3002\r\n\r\nApache Syncope 2.1.6\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6ce8\u5165\u4efb\u610f\u7684Java EL\u8868\u8fbe\u5f0f\uff0c\u6267\u884c\u4efb\u610f\u7684Java\u4ee3\u7801\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Apache Syncope\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Syncope \u003c2.1.6"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-1959",
  "serverity": "\u9ad8",
  "submitTime": "2020-05-06",
  "title": "Apache Syncope\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2020-1959 (GCVE-0-2020-1959)

Vulnerability from cvelistv5 – Published: 2020-05-04 12:25 – Updated: 2024-08-04 06:54

Summary

A Server-Side Template Injection was identified in Apache Syncope prior to 2.1.6 enabling attackers to inject arbitrary Java EL expressions, leading to an unauthenticated Remote Code Execution (RCE) vulnerability. Apache Syncope uses Java Bean Validation (JSR 380) custom constraint validators. When building custom constraint violation error messages, they support different types of interpolation, including Java EL expressions. Therefore, if an attacker can inject arbitrary data in the error message template being passed, they will be able to run arbitrary Java code.

Severity

No CVSS data available.

CWE

Multiple Remote Code Execution Vulnerabilities

Assigner

apache mitre root

References

1 reference

URL	Tags
http://syncope.apache.org/security	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	Apache Syncope	Affected: Apache Syncope 2.1.X releases prior to 2.1.6

Show details on NVD website

JSON

To clipboard

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              "x_transferred"
            ],
            "url": "http://syncope.apache.org/security"
          }
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        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "vendor": "n/a",
          "versions": [
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        }
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      ],
      "providerMetadata": {
        "dateUpdated": "2020-05-04T12:25:18.000Z",
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      },
      "references": [
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          "tags": [
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          ],
          "url": "http://syncope.apache.org/security"
        }
      ],
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          "ASSIGNER": "security@apache.org",
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          "STATE": "PUBLIC"
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        "affects": {
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              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "Apache Syncope",
                      "version": {
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                          {
                            "version_value": "Apache Syncope 2.1.X releases prior to 2.1.6"
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    "state": "PUBLISHED"
  },
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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.