GSD-2022-4550
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
The User Activity WordPress plugin through 1.0.1 checks headers such as the X-Forwarded-For to retrieve the IP address of the request, which could lead to IP spoofing
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-4550",
"description": "The User Activity WordPress plugin through 1.0.1 checks headers such as the X-Forwarded-For to retrieve the IP address of the request, which could lead to IP spoofing",
"id": "GSD-2022-4550"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-4550"
],
"details": "The User Activity WordPress plugin through 1.0.1 checks headers such as the X-Forwarded-For to retrieve the IP address of the request, which could lead to IP spoofing",
"id": "GSD-2022-4550",
"modified": "2023-12-13T01:19:15.823645Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "contact@wpscan.com",
"ID": "CVE-2022-4550",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "User Activity",
"version": {
"version_data": [
{
"version_value": "not down converted",
"x_cve_json_5_version_data": {
"defaultStatus": "affected",
"versions": [
{
"lessThanOrEqual": "1.0.1",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
}
]
}
}
]
},
"vendor_name": "Unknown"
}
]
}
},
"credits": [
{
"lang": "en",
"value": "rezaduty"
},
{
"lang": "en",
"value": "WPScan"
}
],
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "The User Activity WordPress plugin through 1.0.1 checks headers such as the X-Forwarded-For to retrieve the IP address of the request, which could lead to IP spoofing"
}
]
},
"generator": {
"engine": "WPScan CVE Generator"
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-290 Authentication Bypass by Spoofing"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://wpscan.com/vulnerability/a1179959-2044-479f-a5ca-3c9ffc46d00e",
"refsource": "MISC",
"url": "https://wpscan.com/vulnerability/a1179959-2044-479f-a5ca-3c9ffc46d00e"
}
]
},
"source": {
"discovery": "EXTERNAL"
}
},
"nvd.nist.gov": {
"configurations": {
"CVE_data_version": "4.0",
"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:user_activity_project:user_activity:*:*:*:*:*:wordpress:*:*",
"cpe_name": [],
"versionEndIncluding": "1.0.1",
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
"CVE_data_meta": {
"ASSIGNER": "contact@wpscan.com",
"ID": "CVE-2022-4550"
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "en",
"value": "The User Activity WordPress plugin through 1.0.1 checks headers such as the X-Forwarded-For to retrieve the IP address of the request, which could lead to IP spoofing"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "en",
"value": "CWE-290"
}
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}
]
},
"references": {
"reference_data": [
{
"name": "https://wpscan.com/vulnerability/a1179959-2044-479f-a5ca-3c9ffc46d00e",
"refsource": "MISC",
"tags": [
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],
"url": "https://wpscan.com/vulnerability/a1179959-2044-479f-a5ca-3c9ffc46d00e"
}
]
}
},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-03-24T11:15Z",
"publishedDate": "2023-02-27T16:15Z"
}
}
}
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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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