GHSA-X3H5-6RJ4-3QH9
Vulnerability from github – Published: 2022-05-14 02:48 – Updated: 2025-04-12 12:46
VLAI
Details
Multiple cross-site request forgery (CSRF) vulnerabilities in the AB Google Map Travel (AB-MAP) plugin before 4.0 for WordPress allow remote attackers to hijack the authentication of administrators for requests that conduct cross-site scripting (XSS) attacks via the (1) lat (Latitude), (2) long (Longitude), (3) map_width, (4) map_height, or (5) zoom (Map Zoom) parameter in the ab_map_options page to wp-admin/admin.php.
{
"affected": [],
"aliases": [
"CVE-2015-2755"
],
"database_specific": {
"cwe_ids": [
"CWE-352"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2015-04-01T14:59:00Z",
"severity": "MODERATE"
},
"details": "Multiple cross-site request forgery (CSRF) vulnerabilities in the AB Google Map Travel (AB-MAP) plugin before 4.0 for WordPress allow remote attackers to hijack the authentication of administrators for requests that conduct cross-site scripting (XSS) attacks via the (1) lat (Latitude), (2) long (Longitude), (3) map_width, (4) map_height, or (5) zoom (Map Zoom) parameter in the ab_map_options page to wp-admin/admin.php.",
"id": "GHSA-x3h5-6rj4-3qh9",
"modified": "2025-04-12T12:46:41Z",
"published": "2022-05-14T02:48:59Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2015-2755"
},
{
"type": "WEB",
"url": "https://wordpress.org/plugins/ab-google-map-travel/changelog"
},
{
"type": "WEB",
"url": "http://packetstormsecurity.com/files/130960/WordPress-AB-Google-Map-Travel-CSRF-XSS.html"
},
{
"type": "WEB",
"url": "http://packetstormsecurity.com/files/131155/WordPress-Google-Map-Travel-3.4-XSS-CSRF.html"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/archive/1/534954/100/0/threaded"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/archive/1/535026/100/0/threaded"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/71417"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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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