GSD-2022-34177
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Jenkins Pipeline: Input Step Plugin 448.v37cea_9a_10a_70 and earlier archives files uploaded for `file` parameters for Pipeline `input` steps on the controller as part of build metadata, using the parameter name without sanitization as a relative path inside a build-related directory, allowing attackers able to configure Pipelines to create or replace arbitrary files on the Jenkins controller file system with attacker-specified content.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-34177",
"description": "Jenkins Pipeline: Input Step Plugin 448.v37cea_9a_10a_70 and earlier archives files uploaded for `file` parameters for Pipeline `input` steps on the controller as part of build metadata, using the parameter name without sanitization as a relative path inside a build-related directory, allowing attackers able to configure Pipelines to create or replace arbitrary files on the Jenkins controller file system with attacker-specified content.",
"id": "GSD-2022-34177",
"references": [
"https://access.redhat.com/errata/RHSA-2022:6531",
"https://access.redhat.com/errata/RHSA-2022:9110",
"https://access.redhat.com/errata/RHSA-2023:0017"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-34177"
],
"details": "Jenkins Pipeline: Input Step Plugin 448.v37cea_9a_10a_70 and earlier archives files uploaded for `file` parameters for Pipeline `input` steps on the controller as part of build metadata, using the parameter name without sanitization as a relative path inside a build-related directory, allowing attackers able to configure Pipelines to create or replace arbitrary files on the Jenkins controller file system with attacker-specified content.",
"id": "GSD-2022-34177",
"modified": "2023-12-13T01:19:18.903597Z",
"schema_version": "1.4.0"
}
},
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"ID": "CVE-2022-34177",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
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{
"product": {
"product_data": [
{
"product_name": "Jenkins Pipeline: Input Step Plugin",
"version": {
"version_data": [
{
"version_value": "not down converted",
"x_cve_json_5_version_data": {
"versions": [
{
"status": "unaffected",
"version": "447.449.v193fd29f6021"
},
{
"status": "unaffected",
"version": "2.12.2"
},
{
"lessThanOrEqual": "448.v37cea_9a_10a_70",
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"url": "https://www.jenkins.io/security/advisory/2022-06-22/#SECURITY-2705"
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"gitlab.com": {
"advisories": [
{
"affected_range": "(,448.v37cea_9a_10a_70]",
"affected_versions": "All versions up to 448.v37cea_9a_10a_70",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:P/A:N",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-22",
"CWE-937"
],
"date": "2022-07-05",
"description": "Jenkins Pipeline: Input Step Plugin 448.v37cea_9a_10a_70 and earlier archives files uploaded for `file` parameters for Pipeline `input` steps on the controller as part of build metadata, using the parameter name without sanitization as a relative path inside a build-related directory, allowing attackers able to configure Pipelines to create or replace arbitrary files on the Jenkins controller file system with attacker-specified content.",
"fixed_versions": [
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],
"identifier": "CVE-2022-34177",
"identifiers": [
"GHSA-29q6-p2cg-4v23",
"CVE-2022-34177"
],
"not_impacted": "All versions after 448.v37cea_9a_10a_70",
"package_slug": "maven/org.jenkins-ci.plugins/pipeline-input-step",
"pubdate": "2022-06-24",
"solution": "Upgrade to version 449.v77f0e8b_845c4 or above.",
"title": "Improper Limitation of a Pathname to a Restricted Directory (\u0027Path Traversal\u0027)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-34177",
"https://www.jenkins.io/security/advisory/2022-06-22/#SECURITY-2705",
"https://github.com/advisories/GHSA-29q6-p2cg-4v23"
],
"uuid": "9712c8d4-3c5c-4126-9ff1-ea65b5785eab"
}
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"versionEndIncluding": "448.v37cea_9a_10a_70",
"vulnerable": true
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"operator": "OR"
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"tags": [
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
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"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": "2023-11-03T18:21Z",
"publishedDate": "2022-06-23T17:15Z"
}
}
}
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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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