GSD-2022-34305
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
In Apache Tomcat 10.1.0-M1 to 10.1.0-M16, 10.0.0-M1 to 10.0.22, 9.0.30 to 9.0.64 and 8.5.50 to 8.5.81 the Form authentication example in the examples web application displayed user provided data without filtering, exposing a XSS vulnerability.
Aliases
Aliases
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"alias": "CVE-2022-34305",
"description": "In Apache Tomcat 10.1.0-M1 to 10.1.0-M16, 10.0.0-M1 to 10.0.22, 9.0.30 to 9.0.64 and 8.5.50 to 8.5.81 the Form authentication example in the examples web application displayed user provided data without filtering, exposing a XSS vulnerability.",
"id": "GSD-2022-34305",
"references": [
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},
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}
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"affected_range": "[8.5.50,8.5.82),[9.0.30,9.0.65),[10.0.0,10.0.23)",
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"package_slug": "maven/org.apache.tomcat.embed/tomcat-embed-core",
"pubdate": "2022-06-23",
"solution": "Upgrade to versions 8.5.82, 9.0.65, 10.0.23 or above.",
"title": "Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
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],
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"package_slug": "maven/org.apache.tomcat/tomcat",
"pubdate": "2022-06-23",
"solution": "Upgrade to versions 8.5.82, 9.0.65, 10.0.23 or above.",
"title": "Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
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"lastModifiedDate": "2022-10-26T22:49Z",
"publishedDate": "2022-06-23T11:15Z"
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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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