GSD-2014-8948
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Cross-site request forgery (CSRF) vulnerability in the iMember360 plugin 3.8.012 through 3.9.001 for WordPress allows remote attackers to hijack the authentication of administrators for requests that with an unspecified impact via the i4w_trace parameter. NOTE: this can be leveraged with CVE-2014-8948 to execute arbitrary commands.
Aliases
Aliases
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"modified": "2023-12-13T01:22:49.713094Z",
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"accessVector": "NETWORK",
"authentication": "NONE",
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"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"obtainAllPrivilege": false,
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"severity": "MEDIUM",
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"lastModifiedDate": "2014-11-17T16:30Z",
"publishedDate": "2014-11-16T11:59Z"
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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.
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