GSD-2020-8134
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Server-side request forgery (SSRF) vulnerability in Ghost CMS < 3.10.0 allows an attacker to scan local or external network or otherwise interact with internal systems.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-8134",
"description": "Server-side request forgery (SSRF) vulnerability in Ghost CMS \u003c 3.10.0 allows an attacker to scan local or external network or otherwise interact with internal systems.",
"id": "GSD-2020-8134"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"details": "Server-side request forgery (SSRF) vulnerability in Ghost CMS \u003c 3.10.0 allows an attacker to scan local or external network or otherwise interact with internal systems.",
"id": "GSD-2020-8134",
"modified": "2023-12-13T01:21:53.747578Z",
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"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c3.10.0",
"affected_versions": "All versions before 3.10.0",
"cvss_v2": "AV:N/AC:L/Au:S/C:P/I:P/A:N",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
"cwe_ids": [
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"CWE-918",
"CWE-937"
],
"date": "2020-03-26",
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"fixed_versions": [
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],
"identifier": "CVE-2020-8134",
"identifiers": [
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],
"not_impacted": "All versions starting from 3.10.0",
"package_slug": "npm/ghost",
"pubdate": "2020-03-20",
"solution": "Upgrade to version 3.10.0 or above.",
"title": "Server-Side Request Forgery (SSRF)",
"urls": [
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],
"uuid": "9c54c24c-2cbd-49ad-be40-540f25045593"
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 5.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
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"exploitabilityScore": 2.8,
"impactScore": 5.2
}
},
"lastModifiedDate": "2020-03-26T19:01Z",
"publishedDate": "2020-03-20T19:15Z"
}
}
}
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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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