GSD-2017-12619
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Apache Zeppelin prior to 0.7.3 was vulnerable to session fixation which allowed an attacker to hijack a valid user session. Issue was reported by "stone lone".
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-12619",
"description": "Apache Zeppelin prior to 0.7.3 was vulnerable to session fixation which allowed an attacker to hijack a valid user session. Issue was reported by \"stone lone\".",
"id": "GSD-2017-12619"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "Apache Zeppelin prior to 0.7.3 was vulnerable to session fixation which allowed an attacker to hijack a valid user session. Issue was reported by \"stone lone\".",
"id": "GSD-2017-12619",
"modified": "2023-12-13T01:21:03.681323Z",
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{
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"name": "[zeppelin-users] 20190423 Issues fixed in previous releases of Apache Zeppelin 0.7.3 and 0.8.0 (CVE-2017-12619 CVE-2018-1317 CVE-2018-1328)",
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"url": "https://zeppelin.apache.org/releases/zeppelin-release-0.7.3.html"
},
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},
"gitlab.com": {
"advisories": [
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"cwe_ids": [
"CWE-1035",
"CWE-384",
"CWE-937"
],
"date": "2019-04-30",
"description": "Apache Zeppelin is vulnerable to session fixation which allows an attacker to hijack valid user sessions.",
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],
"identifier": "CVE-2017-12619",
"identifiers": [
"CVE-2017-12619"
],
"not_impacted": "All versions starting from 0.7.3",
"package_slug": "maven/org.apache.zeppelin/zeppelin",
"pubdate": "2019-04-23",
"solution": "Upgrade to version 0.7.3 or above.",
"title": "Session Fixation",
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"references": {
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"name": "https://zeppelin.apache.org/releases/zeppelin-release-0.7.3.html",
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"tags": [
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},
{
"name": "[zeppelin-users] 20190423 Issues fixed in previous releases of Apache Zeppelin 0.7.3 and 0.8.0 (CVE-2017-12619 CVE-2018-1317 CVE-2018-1328)",
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"url": "http://www.securityfocus.com/bid/108050"
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}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N",
"version": "3.0"
},
"exploitabilityScore": 2.8,
"impactScore": 5.2
}
},
"lastModifiedDate": "2019-04-30T14:54Z",
"publishedDate": "2019-04-23T15:29Z"
}
}
}
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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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