FKIE_CVE-2022-29804
Vulnerability from fkie_nvd - Published: 2022-08-10 20:15 - Updated: 2026-06-17 04:40
Severity
Summary
Incorrect conversion of certain invalid paths to valid, absolute paths in Clean in path/filepath before Go 1.17.11 and Go 1.18.3 on Windows allows potential directory traversal attack.
References
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://pkg.go.dev",
"defaultStatus": "unaffected",
"packageName": "path/filepath",
"platforms": [
"windows"
],
"product": "path/filepath",
"programRoutines": [
{
"name": "Clean"
}
],
"vendor": "Go standard library",
"versions": [
{
"lessThan": "1.17.11",
"status": "affected",
"version": "0",
"versionType": "semver"
},
{
"lessThan": "1.18.3",
"status": "affected",
"version": "1.18.0-0",
"versionType": "semver"
}
]
}
],
"source": "security@golang.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:golang:go:*:*:*:*:*:*:*:*",
"matchCriteriaId": "338E9C2D-AE40-4FA3-9A44-08C9B508B756",
"versionEndExcluding": "1.17.11",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:golang:go:*:*:*:*:*:*:*:*",
"matchCriteriaId": "6782EAAE-0437-495C-A6B4-1CFB39DAAFA6",
"versionEndExcluding": "1.18.3",
"versionStartIncluding": "1.18.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
},
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:microsoft:windows:-:*:*:*:*:*:*:*",
"matchCriteriaId": "A2572D17-1DE6-457B-99CC-64AFD54487EA",
"vulnerable": false
}
],
"negate": false,
"operator": "OR"
}
],
"operator": "AND"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Incorrect conversion of certain invalid paths to valid, absolute paths in Clean in path/filepath before Go 1.17.11 and Go 1.18.3 on Windows allows potential directory traversal attack."
},
{
"lang": "es",
"value": "En filepath.Clean en path/filepath en Go versiones anteriores a 1.17.11 y en 1.18.x antes de 1.18.3 en Windows, las rutas inv\u00e1lidas como .\\c: pod\u00edan convertirse en rutas v\u00e1lidas (como c: en este ejemplo)."
}
],
"id": "CVE-2022-29804",
"lastModified": "2026-06-17T04:40:44.503",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2022-08-10T20:15:34.890",
"references": [
{
"source": "security@golang.org",
"url": "https://go.dev/cl/401595"
},
{
"source": "security@golang.org",
"url": "https://go.dev/issue/52476"
},
{
"source": "security@golang.org",
"url": "https://go.googlesource.com/go/+/9cd1818a7d019c02fa4898b3e45a323e35033290"
},
{
"source": "security@golang.org",
"url": "https://groups.google.com/g/golang-announce/c/TzIC9-t8Ytg/m/IWz5T6x7AAAJ"
},
{
"source": "security@golang.org",
"url": "https://pkg.go.dev/vuln/GO-2022-0533"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://go.dev/cl/401595"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://go.dev/issue/52476"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://go.googlesource.com/go/+/9cd1818a7d019c02fa4898b3e45a323e35033290"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://groups.google.com/g/golang-announce/c/TzIC9-t8Ytg/m/IWz5T6x7AAAJ"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://pkg.go.dev/vuln/GO-2022-0533"
}
],
"sourceIdentifier": "security@golang.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-22"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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