Vulnerability-Lookup

GSD-2018-1000610

Vulnerability from gsd - Updated: 2023-12-13 01:22

Details

A exposure of sensitive information vulnerability exists in Jenkins Configuration as Code Plugin 0.7-alpha and earlier in DataBoundConfigurator.java, Attribute.java, BaseConfigurator.java, ExtensionConfigurator.java that allows attackers with access to Jenkins log files to obtain the passwords configured using Configuration as Code Plugin.

Aliases

CVE-2018-1000610

Aliases

CVE-2018-1000610

JSON

To clipboard

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    "id": "GSD-2018-1000610"
  },
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      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
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      "lastModifiedDate": "2019-10-03T00:03Z",
      "publishedDate": "2018-06-26T17:29Z"
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}

CVE-2018-1000610 (GCVE-0-2018-1000610)

Vulnerability from cvelistv5 – Published: 2018-06-26 17:00 – Updated: 2024-09-17 02:11

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2338 records in the last 180 days details

References

1 reference

URL	Tags
https://jenkins.io/security/advisory/2018-06-25/#…	x_refsource_CONFIRM

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

Sightings and recorded dates, grouped by day · UTC

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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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