AWS CodeCommit Trigger Plugin up to 3.0.12 on Jenkins AWS SQS Queue Name information disclosure

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
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5.5$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in AWS CodeCommit Trigger Plugin up to 3.0.12 on Jenkins. This vulnerability affects unknown code of the component AWS SQS Queue Name Handler. Performing a manipulation results in information disclosure. This vulnerability is identified as CVE-2023-35147. There is not any exploit available.

Detailsinfo

A vulnerability was found in AWS CodeCommit Trigger Plugin up to 3.0.12 on Jenkins (Jenkins Plugin). It has been classified as problematic. This affects some unknown processing of the component AWS SQS Queue Name Handler. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:

Jenkins AWS CodeCommit Trigger Plugin 3.0.12 and earlier does not restrict the AWS SQS queue name path parameter in an HTTP endpoint, allowing attackers with Item/Read permission to obtain the contents of arbitrary files on the Jenkins controller file system.

The weakness was released 06/14/2023. It is possible to read the advisory at jenkins.io. This vulnerability is uniquely identified as CVE-2023-35147 since 06/14/2023. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.5
VulDB Meta Temp Score: 5.5

VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.5
NVD Vector: 🔍

CNA Base Score: 6.5
CNA Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

06/14/2023 🔍
06/14/2023 +0 days 🔍
06/14/2023 +0 days 🔍
12/31/2024 +566 days 🔍

Sourcesinfo

Advisory: jenkins.io
Status: Confirmed

CVE: CVE-2023-35147 (🔍)
GCVE (CVE): GCVE-0-2023-35147
GCVE (VulDB): GCVE-100-231531

Entryinfo

Created: 06/14/2023 15:54
Updated: 12/31/2024 19:29
Changes: 06/14/2023 15:54 (39), 07/13/2023 11:04 (11), 12/31/2024 19:29 (26)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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