CVE-2021-39320 (GCVE-0-2021-39320)
Vulnerability from cvelistv5 – Published: 2021-09-01 14:15 – Updated: 2025-05-05 14:50
VLAI
EPSS
VEX
Title
underConstruction <= 1.18 - Reflected Cross-Site Scripting
Summary
The underConstruction plugin <= 1.18 for WordPress echoes out the raw value of `$GLOBALS['PHP_SELF']` in the ucOptions.php file. On certain configurations including Apache+modPHP, this makes it possible to use it to perform a reflected Cross-Site Scripting attack by injecting malicious code in the request path.
Severity
6.1 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-05-05 14:50 UTC
CWE
- CWE-79 - Cross-site Scripting (XSS)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://wpscan.com/vulnerability/49ae1df0-d6d2-4c… | x_refsource_MISC |
| https://www.wordfence.com/vulnerability-advisorie… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Noah Kagan | underConstruction |
Affected:
1.18 , ≤ 1.18
(custom)
|
guessed |
Date Public
2021-08-31 00:00
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-79 Cross-site Scripting (XSS)"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://wpscan.com/vulnerability/49ae1df0-d6d2-4cbb-9a9d-bf3599429875",
"refsource": "MISC",
"url": "https://wpscan.com/vulnerability/49ae1df0-d6d2-4cbb-9a9d-bf3599429875"
},
{
"name": "https://www.wordfence.com/vulnerability-advisories/#CVE-2021-39320",
"refsource": "MISC",
"url": "https://www.wordfence.com/vulnerability-advisories/#CVE-2021-39320"
}
]
},
"source": {
"discovery": "INTERNAL"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "b15e7b5b-3da4-40ae-a43c-f7aa60e62599",
"assignerShortName": "Wordfence",
"cveId": "CVE-2021-39320",
"datePublished": "2021-09-01T14:15:35.899Z",
"dateReserved": "2021-08-20T00:00:00.000Z",
"dateUpdated": "2025-05-05T14:50:43.201Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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