GSD-2020-7995
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The htdocs/index.php?mainmenu=home login page in Dolibarr 10.0.6 allows an unlimited rate of failed authentication attempts.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-7995",
"description": "The htdocs/index.php?mainmenu=home login page in Dolibarr 10.0.6 allows an unlimited rate of failed authentication attempts.",
"id": "GSD-2020-7995",
"references": [
"https://packetstormsecurity.com/files/cve/CVE-2020-7995"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2020-7995"
],
"details": "The htdocs/index.php?mainmenu=home login page in Dolibarr 10.0.6 allows an unlimited rate of failed authentication attempts.",
"id": "GSD-2020-7995",
"modified": "2023-12-13T01:21:51.576938Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2020-7995",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
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"version_value": "n/a"
}
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"reference_data": [
{
"name": "https://tufangungor.github.io/exploit/2020/01/18/dolibarr-10.0.6-brute-force.html",
"refsource": "MISC",
"url": "https://tufangungor.github.io/exploit/2020/01/18/dolibarr-10.0.6-brute-force.html"
},
{
"name": "https://github.com/tufangungor/tufangungor.github.io/blob/master/_posts/2020-01-19-dolibarr-10.0.6-brute-force.md",
"refsource": "MISC",
"url": "https://github.com/tufangungor/tufangungor.github.io/blob/master/_posts/2020-01-19-dolibarr-10.0.6-brute-force.md"
},
{
"name": "http://packetstormsecurity.com/files/163541/Dolibarr-ERP-CRM-10.0.6-Login-Brute-Forcer.html",
"refsource": "MISC",
"url": "http://packetstormsecurity.com/files/163541/Dolibarr-ERP-CRM-10.0.6-Login-Brute-Forcer.html"
}
]
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "=10.0.6",
"affected_versions": "Version 10.0.6",
"cvss_v2": "AV:N/AC:L/Au:N/C:C/I:C/A:C",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-287",
"CWE-937"
],
"date": "2021-07-21",
"description": "The `htdocs/index.php?mainmenu=home` login page in Dolibarr allows an unlimited rate of failed authentication attempts.",
"fixed_versions": [
"10.0.7"
],
"identifier": "CVE-2020-7995",
"identifiers": [
"CVE-2020-7995"
],
"not_impacted": "All versions before 10.0.6, all versions after 10.0.6",
"package_slug": "packagist/dolibarr/dolibarr",
"pubdate": "2020-01-26",
"solution": "Upgrade to version 10.0.7 or above.",
"title": "Improper Authentication",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2020-7995"
],
"uuid": "0b03d50f-eb38-46a7-a1e9-d2f2ff51bc1d"
}
]
},
"nvd.nist.gov": {
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"nodes": [
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"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:dolibarr:dolibarr_erp\\/crm:10.0.6:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
}
],
"operator": "OR"
}
]
},
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"ID": "CVE-2020-7995"
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"description": {
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"value": "The htdocs/index.php?mainmenu=home login page in Dolibarr 10.0.6 allows an unlimited rate of failed authentication attempts."
}
]
},
"problemtype": {
"problemtype_data": [
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{
"lang": "en",
"value": "CWE-307"
}
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}
]
},
"references": {
"reference_data": [
{
"name": "https://tufangungor.github.io/exploit/2020/01/18/dolibarr-10.0.6-brute-force.html",
"refsource": "MISC",
"tags": [
"Broken Link"
],
"url": "https://tufangungor.github.io/exploit/2020/01/18/dolibarr-10.0.6-brute-force.html"
},
{
"name": "https://github.com/tufangungor/tufangungor.github.io/blob/master/_posts/2020-01-19-dolibarr-10.0.6-brute-force.md",
"refsource": "MISC",
"tags": [
"Broken Link"
],
"url": "https://github.com/tufangungor/tufangungor.github.io/blob/master/_posts/2020-01-19-dolibarr-10.0.6-brute-force.md"
},
{
"name": "http://packetstormsecurity.com/files/163541/Dolibarr-ERP-CRM-10.0.6-Login-Brute-Forcer.html",
"refsource": "MISC",
"tags": [
"Exploit",
"Third Party Advisory",
"VDB Entry"
],
"url": "http://packetstormsecurity.com/files/163541/Dolibarr-ERP-CRM-10.0.6-Login-Brute-Forcer.html"
}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 10.0,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:L/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9
}
},
"lastModifiedDate": "2022-11-17T17:21Z",
"publishedDate": "2020-01-26T23:15Z"
}
}
}
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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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