GSD-2022-2438
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
The Broken Link Checker plugin for WordPress is vulnerable to deserialization of untrusted input via the '$log_file' value in versions up to, and including 1.11.16. This makes it possible for authenticated attackers with administrative privileges and above to call files using a PHAR wrapper that will deserialize the data and call arbitrary PHP Objects that can be used to perform a variety of malicious actions granted a POP chain is also present. It also requires that the attacker is successful in uploading a file with the serialized payload.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-2438",
"description": "The Broken Link Checker plugin for WordPress is vulnerable to deserialization of untrusted input via the \u0027$log_file\u0027 value in versions up to, and including 1.11.16. This makes it possible for authenticated attackers with administrative privileges and above to call files using a PHAR wrapper that will deserialize the data and call arbitrary PHP Objects that can be used to perform a variety of malicious actions granted a POP chain is also present. It also requires that the attacker is successful in uploading a file with the serialized payload.",
"id": "GSD-2022-2438"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "The Broken Link Checker plugin for WordPress is vulnerable to deserialization of untrusted input via the \u0027$log_file\u0027 value in versions up to, and including 1.11.16. This makes it possible for authenticated attackers with administrative privileges and above to call files using a PHAR wrapper that will deserialize the data and call arbitrary PHP Objects that can be used to perform a variety of malicious actions granted a POP chain is also present. It also requires that the attacker is successful in uploading a file with the serialized payload.",
"id": "GSD-2022-2438",
"modified": "2023-12-13T01:19:20.252800Z",
"schema_version": "1.4.0"
}
},
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"value": "Rasoul Jahanshahi"
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"value": "The Broken Link Checker plugin for WordPress is vulnerable to deserialization of untrusted input via the \u0027$log_file\u0027 value in versions up to, and including 1.11.16. This makes it possible for authenticated attackers with administrative privileges and above to call files using a PHAR wrapper that will deserialize the data and call arbitrary PHP Objects that can be used to perform a variety of malicious actions granted a POP chain is also present. It also requires that the attacker is successful in uploading a file with the serialized payload."
}
]
},
"impact": {
"cvss": [
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"baseScore": 7.2,
"baseSeverity": "HIGH",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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"value": "CWE-502 Deserialization of Untrusted Data"
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{
"name": "https://plugins.trac.wordpress.org/changeset/2757773/broken-link-checker/trunk/core/core.php?old=2605914\u0026old_path=broken-link-checker%2Ftrunk%2Fcore%2Fcore.php",
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{
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"url": "https://www.wordfence.com/vulnerability-advisories/#CVE-2022-2438"
}
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"nvd.nist.gov": {
"configurations": {
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"nodes": [
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"cpe_match": [
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"versionEndExcluding": "1.11.17",
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"refsource": "MISC",
"tags": [
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"url": "https://plugins.trac.wordpress.org/changeset/2757773/broken-link-checker/trunk/core/core.php?old=2605914\u0026old_path=broken-link-checker%2Ftrunk%2Fcore%2Fcore.php"
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{
"name": "https://www.wordfence.com/vulnerability-advisories/#CVE-2022-2438",
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},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.2,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 5.9
}
},
"lastModifiedDate": "2023-10-24T20:27Z",
"publishedDate": "2022-09-06T18:15Z"
}
}
}
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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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