GSD-2020-12668
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Jinjava before 2.5.4 allow access to arbitrary classes by calling Java methods on objects passed into a Jinjava context. This could allow for abuse of the application class loader, including Arbitrary File Disclosure.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-12668",
"description": "Jinjava before 2.5.4 allow access to arbitrary classes by calling Java methods on objects passed into a Jinjava context. This could allow for abuse of the application class loader, including Arbitrary File Disclosure.",
"id": "GSD-2020-12668"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2020-12668",
"modified": "2023-12-13T01:21:49.686555Z",
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"gitlab.com": {
"advisories": [
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"affected_range": "(,2.5.4)",
"affected_versions": "All versions before 2.5.4",
"cvss_v2": "AV:N/AC:L/Au:S/C:C/I:N/A:N",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-200",
"CWE-937"
],
"date": "2021-07-21",
"description": "Jinjava allow access to arbitrary classes by calling Java methods on objects passed into a Jinjava context. This could allow for abuse of the application class loader, including Arbitrary File Disclosure.",
"fixed_versions": [
"2.5.4"
],
"identifier": "CVE-2020-12668",
"identifiers": [
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],
"not_impacted": "All versions starting from 2.5.4",
"package_slug": "maven/com.hubspot.jinjava/jinjava",
"pubdate": "2021-02-19",
"solution": "Upgrade to version 2.5.4 or above.",
"title": "Information Exposure",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2020-12668"
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"uuid": "db82d78f-c88d-4081-842b-89ab906349f8"
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 6.8,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:S/C:C/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
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"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2021-07-21T11:39Z",
"publishedDate": "2021-02-19T23:15Z"
}
}
}
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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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