GSD-2023-1398
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
A vulnerability classified as critical was found in XiaoBingBy TeaCMS 2.0. Affected by this vulnerability is an unknown functionality of the file /admin/upload. The manipulation leads to path traversal: '../filedir'. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-222985 was assigned to this vulnerability.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-1398",
"id": "GSD-2023-1398"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "A vulnerability classified as critical was found in XiaoBingBy TeaCMS 2.0. Affected by this vulnerability is an unknown functionality of the file /admin/upload. The manipulation leads to path traversal: \u0027../filedir\u0027. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-222985 was assigned to this vulnerability.",
"id": "GSD-2023-1398",
"modified": "2023-12-13T01:20:41.062658Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"ID": "CVE-2023-1398",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "TeaCMS",
"version": {
"version_data": [
{
"version_affected": "=",
"version_value": "2.0"
}
]
}
}
]
},
"vendor_name": "XiaoBingBy"
}
]
}
},
"credits": [
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"lang": "en",
"value": "VulDB Gitee Analyzer"
}
],
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
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{
"lang": "eng",
"value": "A vulnerability classified as critical was found in XiaoBingBy TeaCMS 2.0. Affected by this vulnerability is an unknown functionality of the file /admin/upload. The manipulation leads to path traversal: \u0027../filedir\u0027. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-222985 was assigned to this vulnerability."
},
{
"lang": "deu",
"value": "In XiaoBingBy TeaCMS 2.0 wurde eine kritische Schwachstelle entdeckt. Es geht um eine nicht n\u00e4her bekannte Funktion der Datei /admin/upload. Durch Manipulation mit unbekannten Daten kann eine path traversal: \u0027../filedir\u0027-Schwachstelle ausgenutzt werden. Der Angriff kann \u00fcber das Netzwerk erfolgen. Der Exploit steht zur \u00f6ffentlichen Verf\u00fcgung."
}
]
},
"impact": {
"cvss": [
{
"baseScore": 6.3,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
"version": "3.1"
},
{
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"baseSeverity": "MEDIUM",
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"version": "3.0"
},
{
"baseScore": 6.5,
"vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
"version": "2.0"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"cweId": "CWE-24",
"lang": "eng",
"value": "CWE-24 Path Traversal: \u0027../filedir\u0027"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://vuldb.com/?id.222985",
"refsource": "MISC",
"url": "https://vuldb.com/?id.222985"
},
{
"name": "https://vuldb.com/?ctiid.222985",
"refsource": "MISC",
"url": "https://vuldb.com/?ctiid.222985"
},
{
"name": "https://gitee.com/xiaobingby/TeaCMS/issues/I6IIYV",
"refsource": "MISC",
"url": "https://gitee.com/xiaobingby/TeaCMS/issues/I6IIYV"
}
]
}
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:teacms_project:teacms:2.0:*:*:*:*:*:*:*",
"matchCriteriaId": "682B4EF7-D26D-4339-84B8-928661F6F2C4",
"vulnerable": true
}
],
"negate": false,
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"descriptions": [
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"lang": "en",
"value": "A vulnerability classified as critical was found in XiaoBingBy TeaCMS 2.0. Affected by this vulnerability is an unknown functionality of the file /admin/upload. The manipulation leads to path traversal: \u0027../filedir\u0027. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-222985 was assigned to this vulnerability."
}
],
"id": "CVE-2023-1398",
"lastModified": "2024-04-11T01:18:06.390",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "cna@vuldb.com",
"type": "Secondary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
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{
"cvssData": {
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"availabilityImpact": "LOW",
"baseScore": 6.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.4,
"source": "cna@vuldb.com",
"type": "Secondary"
}
]
},
"published": "2023-03-14T15:15:12.210",
"references": [
{
"source": "cna@vuldb.com",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://gitee.com/xiaobingby/TeaCMS/issues/I6IIYV"
},
{
"source": "cna@vuldb.com",
"tags": [
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],
"url": "https://vuldb.com/?ctiid.222985"
},
{
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"tags": [
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"url": "https://vuldb.com/?id.222985"
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],
"sourceIdentifier": "cna@vuldb.com",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-22"
}
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"source": "nvd@nist.gov",
"type": "Primary"
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],
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"type": "Secondary"
}
]
}
}
}
}
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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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