GHSA-HXCM-V35H-MG2X
Vulnerability from github – Published: 2019-06-07 21:12 – Updated: 2023-11-29 22:16
VLAI
Summary
Prototype Pollution in querystringify
Details
A vulnerability was found in querystringify before 2.0.0. It's possible to override built-in properties of the resulting query string object if a malicious string is inserted in the query string.
{
"affected": [
{
"package": {
"ecosystem": "npm",
"name": "querystringify"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.0.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-1321"
],
"github_reviewed": true,
"github_reviewed_at": "2019-06-07T21:11:35Z",
"nvd_published_at": null,
"severity": "HIGH"
},
"details": "A vulnerability was found in querystringify before 2.0.0. It\u0027s possible to override built-in properties of the resulting query string object if a malicious string is inserted in the query string.",
"id": "GHSA-hxcm-v35h-mg2x",
"modified": "2023-11-29T22:16:43Z",
"published": "2019-06-07T21:12:50Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/unshiftio/querystringify/pull/19"
},
{
"type": "WEB",
"url": "https://github.com/unshiftio/querystringify/commit/422eb4f6c7c28ee5f100dcc64177d3b68bb2b080"
}
],
"schema_version": "1.4.0",
"severity": [],
"summary": "Prototype Pollution in querystringify"
}
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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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