GSD-2016-8647
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
An input validation vulnerability was found in Ansible's mysql_user module before 2.2.1.0, which may fail to correctly change a password in certain circumstances. Thus the previous password would still be active when it should have been changed.
Aliases
Aliases
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"description": "An input validation vulnerability was found in Ansible\u0027s mysql_user module before 2.2.1.0, which may fail to correctly change a password in certain circumstances. Thus the previous password would still be active when it should have been changed.",
"id": "GSD-2016-8647",
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"CWE-937"
],
"date": "2019-10-09",
"description": "An input validation vulnerability was found in Ansible\u0027s `mysql_user` module, which may fail to correctly change a password in certain circumstances. Thus, the previous password would still be active when it should have been changed.",
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"identifier": "CVE-2016-8647",
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"not_impacted": "All versions starting from 2.2.1.0",
"package_slug": "pypi/ansible",
"pubdate": "2018-07-26",
"solution": "Upgrade to version 2.2.1.0 or above.",
"title": "Improper Input Validation",
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"id": "CVE-2016-8647",
"lastModified": "2024-01-26T18:02:23.847",
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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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.
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.
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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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