GSD-2024-22243
Vulnerability from gsd - Updated: 2024-01-09 06:02Details
Applications that use UriComponentsBuilder to parse an externally provided URL (e.g. through a query parameter) AND perform validation checks on the host of the parsed URL may be vulnerable to a open redirect https://cwe.mitre.org/data/definitions/601.html attack or to a SSRF attack if the URL is used after passing validation checks.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2024-22243"
],
"details": "Applications that use UriComponentsBuilder\u00a0to parse an externally provided URL (e.g. through a query parameter) AND\u00a0perform validation checks on the host of the parsed URL may be vulnerable to a open redirect https://cwe.mitre.org/data/definitions/601.html \u00a0attack or to a SSRF attack if the URL is used after passing validation checks.\n",
"id": "GSD-2024-22243",
"modified": "2024-01-09T06:02:15.300928Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"CVE_data_meta": {
"ASSIGNER": "security@vmware.com",
"ID": "CVE-2024-22243",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
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"product": {
"product_data": [
{
"product_name": "Spring Framework",
"version": {
"version_data": [
{
"version_value": "not down converted",
"x_cve_json_5_version_data": {
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"versions": [
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"lessThan": "6.0.17",
"status": "affected",
"version": "6.0.x",
"versionType": "6.0.17"
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"version": "6.1.x",
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"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "Applications that use UriComponentsBuilder\u00a0to parse an externally provided URL (e.g. through a query parameter) AND\u00a0perform validation checks on the host of the parsed URL may be vulnerable to a open redirect https://cwe.mitre.org/data/definitions/601.html \u00a0attack or to a SSRF attack if the URL is used after passing validation checks.\n"
}
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"generator": {
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"impact": {
"cvss": [
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N",
"version": "3.1"
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"references": {
"reference_data": [
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"name": "https://spring.io/security/cve-2024-22243",
"refsource": "MISC",
"url": "https://spring.io/security/cve-2024-22243"
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},
"source": {
"discovery": "UNKNOWN"
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"nvd.nist.gov": {
"cve": {
"descriptions": [
{
"lang": "en",
"value": "Applications that use UriComponentsBuilder\u00a0to parse an externally provided URL (e.g. through a query parameter) AND\u00a0perform validation checks on the host of the parsed URL may be vulnerable to a open redirect https://cwe.mitre.org/data/definitions/601.html \u00a0attack or to a SSRF attack if the URL is used after passing validation checks.\n"
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{
"lang": "es",
"value": "Las aplicaciones que utilizan UriComponentsBuilder para analizar una URL proporcionada externamente (por ejemplo, a trav\u00e9s de un par\u00e1metro de consulta) Y realizan comprobaciones de validaci\u00f3n en el host de la URL analizada pueden ser vulnerables a una redirecci\u00f3n abierta https://cwe.mitre.org/data/definitions/601 .html o a un ataque SSRF si la URL se utiliza despu\u00e9s de pasar las comprobaciones de validaci\u00f3n."
}
],
"id": "CVE-2024-22243",
"lastModified": "2024-02-23T16:14:43.447",
"metrics": {
"cvssMetricV31": [
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"attackVector": "NETWORK",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N",
"version": "3.1"
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"exploitabilityScore": 2.8,
"impactScore": 5.2,
"source": "security@vmware.com",
"type": "Secondary"
}
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},
"published": "2024-02-23T05:15:08.143",
"references": [
{
"source": "security@vmware.com",
"url": "https://spring.io/security/cve-2024-22243"
}
],
"sourceIdentifier": "security@vmware.com",
"vulnStatus": "Awaiting Analysis"
}
}
}
}
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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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