Vulnerability-Lookup

CNVD-2020-17130

Vulnerability from cnvd - Published: 2020-03-13

Title

Oracle iLearning存在未明漏洞（CNVD-2020-17130）

Description

Oracle iLearning是美国甲骨文（Oracle）公司的一套企业级学习管理系统（LMS），也是电子商务套件（Oracle E-Business Suite）的核心组件之一。该系统提供了管理、交付和跟踪基于课堂环境的联机培训的功能。 Oracle iLearning存在未明漏洞。攻击者可利用该漏洞未授权访问、更新、插入或删除数据，影响数据的保密性和完整性。

Severity

中

Patch Name

Oracle iLearning存在未明漏洞（CNVD-2020-17130）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://www.oracle.com/technetwork/security-advisory/cpuoct2018-4428296.html

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-3146

Impacted products

Name
['Oracle iLearning 6.1', 'Oracle iLearning 6.2']

Show details on source website

JSON

To clipboard

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  "serverity": "\u4e2d",
  "submitTime": "2018-10-17",
  "title": "Oracle iLearning\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2020-17130\uff09"
}

CVE-2018-3146 (GCVE-0-2018-3146)

Vulnerability from cvelistv5 – Published: 2018-10-17 01:00 – Updated: 2024-10-02 19:43

Summary

Vulnerability in the Oracle iLearning component of Oracle iLearning (subcomponent: Learner Administration). Supported versions that are affected are 6.1 and 6.2. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle iLearning. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle iLearning, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle iLearning accessible data as well as unauthorized update, insert or delete access to some of Oracle iLearning accessible data. CVSS 3.0 Base Score 8.2 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N).

Severity

No CVSS data available.

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-02 18:08 UTC

CWE

Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle iLearning. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle iLearning, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle iLearning accessible data as well as unauthorized update, insert or delete access to some of Oracle iLearning accessible data.

Assigner

oracle CNA under the mitre root

CNA scorecard C 69/100 over 3007 records in the last 180 days details

References

2 references

URL	Tags
http://www.securityfocus.com/bid/105646	vdb-entryx_refsource_BID
http://www.oracle.com/technetwork/security-adviso…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Oracle Corporation	iLearning	Affected: 6.1 Affected: 6.2

Date Public

2018-10-16 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.

Vulnerability timeline

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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.

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