GSD-2022-26652
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
NATS nats-server before 2.7.4 allows Directory Traversal (with write access) via an element in a ZIP archive for JetStream streams. nats-streaming-server before 0.24.3 is also affected.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-26652",
"description": "NATS nats-server before 2.7.4 allows Directory Traversal (with write access) via an element in a ZIP archive for JetStream streams. nats-streaming-server before 0.24.3 is also affected.",
"id": "GSD-2022-26652"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-26652"
],
"details": "NATS nats-server before 2.7.4 allows Directory Traversal (with write access) via an element in a ZIP archive for JetStream streams. nats-streaming-server before 0.24.3 is also affected.",
"id": "GSD-2022-26652",
"modified": "2023-12-13T01:19:38.948937Z",
"schema_version": "1.4.0"
}
},
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{
"name": "[oss-security] 20220309 CVE-2022-26652: nats-server arbitrary file write",
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},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003e=v2.2.0 \u003cv2.7.4",
"affected_versions": "All versions starting from 2.2.0 before 2.7.4",
"cwe_ids": [
"CWE-1035",
"CWE-937"
],
"date": "2022-03-11",
"description": "NATS nats-server before 2.7.4 allows Directory Traversal (with write access) via an element in a ZIP archive for JetStream streams. nats-streaming-server before 0.24.3 is also affected.",
"fixed_versions": [
"v2.7.4"
],
"identifier": "CVE-2022-26652",
"identifiers": [
"GHSA-6h3m-36w8-hv68",
"CVE-2022-26652"
],
"not_impacted": "All versions before 2.2.0, all versions starting from 2.7.4",
"package_slug": "go/github.com/nats-io/nats-server/v2",
"pubdate": "2022-03-10",
"solution": "Upgrade to version 2.7.4 or above.",
"title": "Arbitrary file write in nats-server",
"urls": [
"https://github.com/nats-io/nats-server/security/advisories/GHSA-6h3m-36w8-hv68",
"https://github.com/nats-io/nats-server/pull/2917",
"https://github.com/nats-io/nats-server/releases/tag/v2.7.4",
"https://github.com/nats-io/nats-streaming-server/releases/tag/v0.24.3",
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},
{
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"CWE-937"
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"date": "2022-03-11",
"description": "NATS nats-server before 2.7.4 allows Directory Traversal (with write access) via an element in a ZIP archive for JetStream streams. nats-streaming-server before 0.24.3 is also affected.",
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"package_slug": "go/github.com/nats-io/nats-streaming-server",
"pubdate": "2022-03-10",
"solution": "Upgrade to version 0.24.3 or above.",
"title": "Arbitrary file write in nats-server",
"urls": [
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"https://github.com/nats-io/nats-streaming-server/releases/tag/v0.24.3",
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"timestamp": "20190604191743"
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"number": "v0.15.0"
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{
"commit": {
"sha": "834250d59e1b7a4802fe77b67ff7a9d543c1760a",
"tags": [
"v0.24.3"
],
"timestamp": "20220309214251"
},
"number": "v0.24.3"
}
]
}
]
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"cpe23Uri": "cpe:2.3:a:nats:nats_server:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "2.7.4",
"versionStartIncluding": "2.2.0",
"vulnerable": true
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{
"cpe23Uri": "cpe:2.3:a:nats:nats_streaming_server:*:*:*:*:*:*:*:*",
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 4.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2022-03-18T01:44Z",
"publishedDate": "2022-03-10T17:47Z"
}
}
}
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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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