Vulnerability-Lookup

CNVD-2018-07570

Vulnerability from cnvd - Published: 2018-04-12

Title

Pivotal Spring Framework目录遍历漏洞

Description

Pivotal Spring Framework是美国Pivotal Software公司的一套开源的Java、Java EE应用程序框架。 Pivotal Spring Framework存在目录遍历漏洞。远程攻击者可以使用目录遍历字符（“..”）来访问这个包含敏感信息的任意文件。

Severity

中

Patch Name

Pivotal Spring Framework目录遍历漏洞的补丁

Patch Description

Pivotal Spring Framework是美国Pivotal Software公司的一套开源的Java、Java EE应用程序框架。 Pivotal Spring Framework存在目录遍历漏洞。远程攻击者可以使用目录遍历字符（“..”）来访问这个包含敏感信息的任意文件。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

用户可参考如下供应商提供的安全公告获得补丁信息： https://www.anquanke.com/post/id/104401

Reference

https://www.anquanke.com/post/id/104401 https://www.securityfocus.com/bid/103699

Impacted products

Name
['Pivotal Software Spring Framework >=5.0，<=5.0.4', 'Pivotal Software Spring Framework >=4.3，<=4.3.14']

Show details on source website

JSON

To clipboard

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CVE-2018-1271 (GCVE-0-2018-1271)

Vulnerability from cvelistv5 – Published: 2018-04-06 13:00 – Updated: 2024-09-16 23:16

Summary

Spring Framework, versions 5.0 prior to 5.0.5 and versions 4.3 prior to 4.3.15 and older unsupported versions, allow applications to configure Spring MVC to serve static resources (e.g. CSS, JS, images). When static resources are served from a file system on Windows (as opposed to the classpath, or the ServletContext), a malicious user can send a request using a specially crafted URL that can lead a directory traversal attack.

Severity

No CVSS data available.

CWE

CWE-22 - - Path Traversal

Assigner

dell mitre root

References

11 references

URL	Tags
http://www.securityfocus.com/bid/103699	vdb-entryx_refsource_BID
https://access.redhat.com/errata/RHSA-2018:2669	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2018:2939	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2018:1320	vendor-advisoryx_refsource_REDHAT
http://www.oracle.com/technetwork/security-adviso…	x_refsource_CONFIRM
http://www.oracle.com/technetwork/security-adviso…	x_refsource_CONFIRM
https://www.oracle.com/security-alerts/cpujul2020.html	x_refsource_MISC
https://www.oracle.com/technetwork/security-advis…	x_refsource_CONFIRM
https://www.oracle.com/technetwork/security-advis…	x_refsource_MISC
https://pivotal.io/security/cve-2018-1271	x_refsource_CONFIRM
https://www.oracle.com/security-alerts/cpuoct2021.html	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Spring by Pivotal	Spring Framework	Affected: Versions prior to 5.0.5 and 4.3.15

Date Public

2018-04-05 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.