GSD-2018-14667
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
The RichFaces Framework 3.X through 3.3.4 is vulnerable to Expression Language (EL) injection via the UserResource resource. A remote, unauthenticated attacker could exploit this to execute arbitrary code using a chain of java serialized objects via org.ajax4jsf.resource.UserResource$UriData.
Aliases
Aliases
{
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"alias": "CVE-2018-14667",
"description": "The RichFaces Framework 3.X through 3.3.4 is vulnerable to Expression Language (EL) injection via the UserResource resource. A remote, unauthenticated attacker could exploit this to execute arbitrary code using a chain of java serialized objects via org.ajax4jsf.resource.UserResource$UriData.",
"id": "GSD-2018-14667",
"references": [
"https://access.redhat.com/errata/RHSA-2018:3581",
"https://access.redhat.com/errata/RHSA-2018:3519",
"https://access.redhat.com/errata/RHSA-2018:3518",
"https://access.redhat.com/errata/RHSA-2018:3517",
"https://packetstormsecurity.com/files/cve/CVE-2018-14667"
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},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "The RichFaces Framework 3.X through 3.3.4 is vulnerable to Expression Language (EL) injection via the UserResource resource. A remote, unauthenticated attacker could exploit this to execute arbitrary code using a chain of java serialized objects via org.ajax4jsf.resource.UserResource$UriData.",
"id": "GSD-2018-14667",
"modified": "2023-12-13T01:22:38.422987Z",
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{
"affected_range": "[3.1.0,3.3.4]",
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"cwe_ids": [
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"date": "2019-10-09",
"description": "The RichFaces Framework is vulnerable to Expression Language (EL) injection via the `UserResource` resource.",
"fixed_versions": [
"4.0.0"
],
"identifier": "CVE-2018-14667",
"identifiers": [
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],
"not_impacted": "All versions before 3.1.0, all versions after 3.3.4",
"package_slug": "maven/org.richfaces/richfaces-a4j",
"pubdate": "2018-11-06",
"solution": "Upgrade to version 4.0.0 or above.",
"title": "Code Injection",
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"cwe_ids": [
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"date": "2022-11-08",
"description": "The RichFaces Framework 3.X through 3.3.4 is vulnerable to Expression Language (EL) injection via the UserResource resource. A remote, unauthenticated attacker could exploit this to execute arbitrary code using a chain of java serialized objects via org.ajax4jsf.resource.UserResource$UriData.",
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"not_impacted": "All versions starting from 3.3.4",
"package_slug": "maven/org.richfaces/richfaces-core",
"pubdate": "2022-05-13",
"solution": "Upgrade to version 3.3.4 or above.",
"title": "Improper Control of Generation of Code (\u0027Code Injection\u0027)",
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},
"lastModifiedDate": "2020-08-28T17:59Z",
"publishedDate": "2018-11-06T22:29Z"
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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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