Vulnerability-Lookup

CNVD-2020-61040

Vulnerability from cnvd - Published: 2020-11-08

Title

Oracle WebLogic Server远程代码执行漏洞（CNVD-2020-61040）

Description

Oracle Fusion Middleware（Oracle融合中间件）是美国甲骨文（Oracle）公司的一套面向企业和云环境的业务创新平台。该平台提供了中间件、软件集合等功能。 Oracle WebLogic Server Oracle Fusion Middleware Console 多版本存在安全漏洞，未经身份验证的攻击者可以利用该漏洞通过HTTP访问网络，从而破坏Oracle WebLogic Server。

Severity

高

Patch Name

Oracle WebLogic Server远程代码执行漏洞（CNVD-2020-61040）的补丁

Patch Description

Formal description

目前厂商暂未发布修复措施解决此安全问题，建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法：

https://git.lsd.cat/g/pax-pwn

Impacted products

Name
['Oracle WebLogic Server 10.3.6.0.0', 'Oracle WebLogic Server 12.1.3.0.0', 'Oracle WebLogic Server 12.2.1.3.0', 'Oracle Oracle WebLogic Server 12.2.1.4.0', 'Oracle WebLogic Server 14.1.1.0.0']

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JSON

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CVE-2020-14750 (GCVE-0-2020-14750)

Vulnerability from cvelistv5 – Published: 2020-11-01 23:50 – Updated: 2026-01-12 20:23

Summary

Vulnerability in the Oracle WebLogic Server product of Oracle Fusion Middleware (component: Console). Supported versions that are affected are 10.3.6.0.0, 12.1.3.0.0, 12.2.1.3.0, 12.2.1.4.0 and 14.1.1.0.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle WebLogic Server. Successful attacks of this vulnerability can result in takeover of Oracle WebLogic Server. CVSS 3.1 Base Score 9.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).

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: active Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-09-26 18:40 UTC

CWE

Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle WebLogic Server. Successful attacks of this vulnerability can result in takeover of Oracle WebLogic Server.
CWE-noinfo Not enough information

Assigner

oracle mitre root

References

3 references

URL	Tags
https://www.oracle.com/security-alerts/alert-cve-…	x_refsource_MISC
http://packetstormsecurity.com/files/160143/Oracl…	x_refsource_MISC
https://www.cisa.gov/known-exploited-vulnerabilit…	government-resource

Impacted products

1 product

Vendor	Product	Version
Oracle Corporation	WebLogic Server	Affected: 10.3.6.0.0 Affected: 12.1.3.0.0 Affected: 12.2.1.3.0 Affected: 12.2.1.4.0 Affected: 14.1.1.0.0

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.