GSD-2022-23646
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Next.js is a React framework. Starting with version 10.0.0 and prior to version 12.1.0, Next.js is vulnerable to User Interface (UI) Misrepresentation of Critical Information. In order to be affected, the `next.config.js` file must have an `images.domains` array assigned and the image host assigned in `images.domains` must allow user-provided SVG. If the `next.config.js` file has `images.loader` assigned to something other than default, the instance is not affected. Version 12.1.0 contains a patch for this issue. As a workaround, change `next.config.js` to use a different `loader configuration` other than the default.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-23646",
"description": "Next.js is a React framework. Starting with version 10.0.0 and prior to version 12.1.0, Next.js is vulnerable to User Interface (UI) Misrepresentation of Critical Information. In order to be affected, the `next.config.js` file must have an `images.domains` array assigned and the image host assigned in `images.domains` must allow user-provided SVG. If the `next.config.js` file has `images.loader` assigned to something other than default, the instance is not affected. Version 12.1.0 contains a patch for this issue. As a workaround, change `next.config.js` to use a different `loader configuration` other than the default.",
"id": "GSD-2022-23646"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "Next.js is a React framework. Starting with version 10.0.0 and prior to version 12.1.0, Next.js is vulnerable to User Interface (UI) Misrepresentation of Critical Information. In order to be affected, the `next.config.js` file must have an `images.domains` array assigned and the image host assigned in `images.domains` must allow user-provided SVG. If the `next.config.js` file has `images.loader` assigned to something other than default, the instance is not affected. Version 12.1.0 contains a patch for this issue. As a workaround, change `next.config.js` to use a different `loader configuration` other than the default.",
"id": "GSD-2022-23646",
"modified": "2023-12-13T01:19:35.666045Z",
"schema_version": "1.4.0"
}
},
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"TITLE": "Improper CSP in Image Optimization API for Next.js"
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"affects": {
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}
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},
"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
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"cwe_ids": [
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"CWE-937"
],
"date": "2022-02-25",
"description": "Next.js is vulnerable to User Interface (UI) Misrepresentation of Critical Information. In order to be affected, the `next.config.js` file must have an `images.domains` array assigned and the image host assigned in `images.domains` must allow user-provided SVG. If the `next.config.js` file has `images.loader` assigned to something other than default, the instance is not affected. As a workaround, change `next.config.js` to use a different `loader configuration` other than the default.",
"fixed_versions": [
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],
"identifier": "CVE-2022-23646",
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"CVE-2022-23646",
"GHSA-fmvm-x8mv-47mj"
],
"not_impacted": "All versions before 10.0.0, all versions starting from 12.1.0",
"package_slug": "npm/next",
"pubdate": "2022-02-17",
"solution": "Upgrade to version 12.1.0 or above.",
"title": "User Interface (UI) Misrepresentation of Critical Information",
"urls": [
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"uuid": "0b422801-8d7a-4a0c-8da6-585d293241d8"
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"versionEndExcluding": "12.1.0",
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
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"exploitabilityScore": 8.6,
"impactScore": 2.9,
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"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
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"impactScore": 3.6
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},
"lastModifiedDate": "2022-02-25T17:44Z",
"publishedDate": "2022-02-17T21:15Z"
}
}
}
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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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