FKIE_CVE-2026-104763
Vulnerability from fkie_nvd - Published: 2026-10-10 06:16 - Updated: 2026-10-13 13:30
Severity
Summary
The Post Export Import with Media plugin for WordPress is vulnerable to Directory Traversal in all versions up to, and including, 1.17.1 via the 'file_path' parameter parameter. This makes it possible for authenticated attackers, with administrator-level access and above, to read the contents of arbitrary files on the server, which can contain sensitive information. This requires the attacker to upload a crafted ZIP archive containing a media_metadata.json file with path traversal sequences in the file_path field while specifying an allowed file extension for the destination filename to bypass the extension guard introduced in version 1.13.2.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Post Export Import with Media",
"vendor": "wpazleen",
"versions": [
{
"lessThanOrEqual": "1.17.1",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "security@wordfence.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The Post Export Import with Media plugin for WordPress is vulnerable to Directory Traversal in all versions up to, and including, 1.17.1 via the \u0027file_path\u0027 parameter parameter. This makes it possible for authenticated attackers, with administrator-level access and above, to read the contents of arbitrary files on the server, which can contain sensitive information. This requires the attacker to upload a crafted ZIP archive containing a media_metadata.json file with path traversal sequences in the file_path field while specifying an allowed file extension for the destination filename to bypass the extension guard introduced in version 1.13.2."
}
],
"id": "CVE-2026-104763",
"lastModified": "2026-10-13T13:30:21.620",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 3.6,
"source": "security@wordfence.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-104763",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-10-11T16:42:45.320581Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-10-10T06:16:39.857",
"references": [
{
"source": "security@wordfence.com",
"url": "https://plugins.svn.wordpress.org/post-export-import-with-media/trunk/"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/post-export-import-with-media/tags/1.17.1/includes/class-media-handler.php#L500"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/post-export-import-with-media/tags/1.17.1/includes/class-media-handler.php#L573"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/post-export-import-with-media/tags/1.17.1/includes/class-media-handler.php#L575"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/browser/post-export-import-with-media/tags/1.17.1/includes/class-media-handler.php#L982"
},
{
"source": "security@wordfence.com",
"url": "https://plugins.trac.wordpress.org/changeset/3726363/post-export-import-with-media/trunk/includes/class-media-handler.php"
},
{
"source": "security@wordfence.com",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/71a6ba3d-0473-46c9-8040-b415807f4073?source=cve"
}
],
"sourceIdentifier": "security@wordfence.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-22"
}
],
"source": "security@wordfence.com",
"type": "Secondary"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…