GSD-2023-30556
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Archery is an open source SQL audit platform. The Archery project contains multiple SQL injection vulnerabilities, that may allow an attacker to query the connected databases. Affected versions are subject to SQL injection in the `optimize_sqltuningadvisor` method of `sql_optimize.py`. User input coming from the `db_name` parameter value in `sql_optimize.py` is passed to the `sqltuningadvisor` method in `oracle.py`for execution. To mitigate escape the variables accepted via user input when used in `sql_optimize.py`. Users may also use prepared statements when dealing with SQL as a mitigation for this issue. This issue is also indexed as `GHSL-2022-107`.
Aliases
Aliases
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"id": "GSD-2023-30556"
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"modified": "2023-12-13T01:20:52.110435Z",
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"lastModifiedDate": "2023-05-01T17:27Z",
"publishedDate": "2023-04-19T00:15Z"
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}
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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 |
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Nomenclature
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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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