Vulnerability-Lookup

CNVD-2017-02452

Vulnerability from cnvd - Published: 2017-03-06

Title

Apache Camel远程代码执行漏洞（CNVD-2017-02452）

Description

Apache Camel是Apache基金会下的一个开源项目,它是一个基于规则路由和中介引擎，提供企业集成模式的Java对象的实现，通过应用程序接口（或称为陈述式的Java领域特定语言（DSL））来配置路由和中介的规则。 Apache Camel存在远程代码执行漏洞。允许攻击者利用漏洞在受影响应用程序的上下文中执行任意代码。

Severity

高

Patch Name

Apache Camel远程代码执行漏洞（CNVD-2017-02452）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://bugzilla.redhat.com/show_bug.cgi?id=1420834

Reference

http://www.securityfocus.com/bid/96321

Impacted products

Name
['Apache Camel >=2.17.0，<=2.17.4', 'Apache Camel >=2.18.0，<=2.18.1']

Show details on source website

JSON

To clipboard

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  "discovererName": "Apache",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://bugzilla.redhat.com/show_bug.cgi?id=1420834",
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  "number": "CNVD-2017-02452",
  "openTime": "2017-03-06",
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      "Apache Camel \u003e=2.18.0\uff0c\u003c=2.18.1"
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  "referenceLink": "http://www.securityfocus.com/bid/96321",
  "serverity": "\u9ad8",
  "submitTime": "2017-02-24",
  "title": "Apache Camel\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff08CNVD-2017-02452\uff09"
}

CVE-2017-3159 (GCVE-0-2017-3159)

Vulnerability from cvelistv5 – Published: 2017-03-07 15:00 – Updated: 2024-08-05 14:16

Summary

Apache Camel's camel-snakeyaml component is vulnerable to Java object de-serialization vulnerability. De-serializing untrusted data can lead to security flaws.

Severity

No CVSS data available.

CWE

Java deserialization

Assigner

apache mitre root

References

7 references

URL	Tags
https://access.redhat.com/errata/RHSA-2017:0868	vendor-advisoryx_refsource_REDHAT
https://www.github.com/mbechler/marshalsec/blob/m…	x_refsource_MISC
http://www.securityfocus.com/bid/96321	vdb-entryx_refsource_BID
http://www.openwall.com/lists/oss-security/2017/05/22/2	mailing-listx_refsource_MLIST
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: 2.17.0 to 2.17.4 Affected: 2.18.0 to 2.18.1 Affected: The unsupported Camel 2.x (2.14 and earlier) versions may be also affected.

Date Public

2017-03-07 00:00

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.