FKIE_CVE-2022-37601
Vulnerability from fkie_nvd - Published: 2022-10-12 20:15 - Updated: 2026-06-17 04:55
Severity
Summary
Prototype pollution vulnerability in function parseQuery in parseQuery.js in webpack loader-utils via the name variable in parseQuery.js. This affects all versions prior to 1.4.1 and 2.0.3.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| webpack.js | loader-utils | * | |
| webpack.js | loader-utils | * | |
| debian | debian_linux | 10.0 |
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"lang": "es",
"value": "Una vulnerabilidad de contaminaci\u00f3n de prototipos en la funci\u00f3n parseQuery en el archivo parseQuery.js en webpack loader-utils 2.0.0 por medio de la variable name en parseQuery.js"
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"lastModified": "2026-06-17T04:55:08.440",
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"timestamp": "2024-10-28T19:39:00.731353Z",
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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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