GSD-2020-11988
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Apache XmlGraphics Commons 2.4 and earlier is vulnerable to server-side request forgery, caused by improper input validation by the XMPParser. By using a specially-crafted argument, an attacker could exploit this vulnerability to cause the underlying server to make arbitrary GET requests. Users should upgrade to 2.6 or later.
Aliases
Aliases
{
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"alias": "CVE-2020-11988",
"description": "Apache XmlGraphics Commons 2.4 and earlier is vulnerable to server-side request forgery, caused by improper input validation by the XMPParser. By using a specially-crafted argument, an attacker could exploit this vulnerability to cause the underlying server to make arbitrary GET requests. Users should upgrade to 2.6 or later.",
"id": "GSD-2020-11988",
"references": [
"https://www.suse.com/security/cve/CVE-2020-11988.html",
"https://access.redhat.com/errata/RHSA-2021:5134",
"https://access.redhat.com/errata/RHSA-2021:2476",
"https://access.redhat.com/errata/RHSA-2021:2475",
"https://advisories.mageia.org/CVE-2020-11988.html",
"https://security.archlinux.org/CVE-2020-11988"
]
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"cwe_ids": [
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],
"date": "2021-12-03",
"description": "Apache XmlGraphics Commons is vulnerable to server-side request forgery, caused by improper input validation by the `XMPParser`. By using a specially-crafted argument, an attacker could exploit this vulnerability to cause the underlying server to make arbitrary GET requests.",
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"identifier": "CVE-2020-11988",
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"package_slug": "maven/org.apache.xmlgraphics/xmlgraphics-commons",
"pubdate": "2021-02-24",
"solution": "Upgrade to version 2.6 or above.",
"title": "Server-Side Request Forgery (SSRF)",
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"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:N",
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
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"lastModifiedDate": "2022-04-22T18:54Z",
"publishedDate": "2021-02-24T18:15Z"
}
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}
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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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