Vulnerability-Lookup

CNVD-2017-37563

Vulnerability from cnvd - Published: 2017-12-20

Title

Apache Camel camel-hessian组件反序列化远程代码执行漏洞

Description

Apache Camel是美国阿帕奇（Apache）软件基金会的一套开源的基于Enterprise Integration Pattern(企业整合模式，简称EIP)的集成框架。该框架提供企业集成模式的Java对象（POJO）的实现，且通过应用程序接口来配置路由和中介的规则。camel-hessian component是其中的一个远程通信组件。 Apache Camel 2.19.4之前的2.x版本和2.20.1之前的2.20.x版本中的camel-hessian组件存在反序列化远程代码执行漏洞。远程攻击者可利用该漏洞在受影响的应用程序上下文中执行任意代码或造成拒绝服务。

Severity

高

Patch Name

Apache Camel camel-hessian组件反序列化远程代码执行漏洞的补丁

Patch Description

Formal description

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://issues.apache.org/jira/browse/CAMEL-11923

Reference

http://camel.apache.org/security-advisories.data/CVE-2017-12633.txt.asc

Impacted products

Name
['Apache Software Foundation Camel 2.;<2.19.4', 'Apache Software Foundation Camel 2.20.;<2.20.1']

Show details on source website

JSON

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      "bidNumber": "101874"
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  "discovererName": "Moritz Bechler from AgNO3 GmbH \u0026 Co",
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  "number": "CNVD-2017-37563",
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  "serverity": "\u9ad8",
  "submitTime": "2017-11-21",
  "title": "Apache Camel camel-hessian\u7ec4\u4ef6\u53cd\u5e8f\u5217\u5316\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e"
}

CVE-2017-12633 (GCVE-0-2017-12633)

Vulnerability from cvelistv5 – Published: 2017-11-15 15:00 – Updated: 2024-09-16 22:25

Summary

The camel-hessian component in Apache Camel 2.x before 2.19.4 and 2.20.x before 2.20.1 is vulnerable to Java object de-serialisation vulnerability. De-serializing untrusted data can lead to security flaws.

Severity

No CVSS data available.

CWE

Apache Camel's Hessian unmarshalling operation is vulnerable to Remote Code Execution attacks

Assigner

apache mitre root

References

6 references

URL	Tags
http://www.securityfocus.com/bid/101874	vdb-entryx_refsource_BID
https://access.redhat.com/errata/RHSA-2018:0319	vendor-advisoryx_refsource_REDHAT
https://issues.apache.org/jira/browse/CAMEL-11923	x_refsource_CONFIRM
http://camel.apache.org/security-advisories.data/…	x_refsource_CONFIRM
https://lists.apache.org/thread.html/b4014ea7c583…	mailing-listx_refsource_MLIST
https://lists.apache.org/thread.html/2318d7f7d877…	mailing-listx_refsource_MLIST

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache Camel	Affected: 2.19.0 to 2.19.3 Affected: 2.20.0 Affected: The unsupported Camel 2.x (2.18 and earlier) versions may be also affected.

Date Public

2017-11-15 00:00

Show details on NVD website

JSON

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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.