GSD-2014-7809
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Apache Struts 2.0.0 through 2.3.x before 2.3.20 uses predictable <s:token/> values, which allows remote attackers to bypass the CSRF protection mechanism.
Aliases
Aliases
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"remediation": "unknown",
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"modified": "2023-12-13T01:22:47.485981Z",
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"gitlab.com": {
"advisories": [
{
"affected_range": "(,2.3.16.3]",
"affected_versions": "All versions up to 2.3.16.3",
"cvss_v2": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"cwe_ids": [
"CWE-1035",
"CWE-352",
"CWE-937"
],
"date": "2018-10-09",
"description": "This package uses predictable `\u003cs:token/\u003e` values, which allows remote attackers to bypass the CSRF protection mechanism.",
"fixed_versions": [
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],
"identifier": "CVE-2014-7809",
"identifiers": [
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],
"not_impacted": "All versions after 2.3.16.3",
"package_slug": "maven/org.apache.struts/struts2-core",
"pubdate": "2014-12-10",
"solution": "Upgrade to version 2.3.20 or above.",
"title": "Predictable CSRF token",
"urls": [
"http://blog.h3xstream.com/2014/12/predicting-struts-csrf-token-cve-2014.html",
"http://struts.apache.org/docs/s2-023.html",
"https://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2014-7809"
],
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},
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"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
}
},
"lastModifiedDate": "2018-10-09T19:53Z",
"publishedDate": "2014-12-10T15:59Z"
}
}
}
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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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