GSD-2021-4041
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
A flaw was found in ansible-runner. An improper escaping of the shell command, while calling the ansible_runner.interface.run_command, can lead to parameters getting executed as host's shell command. A developer could unintentionally write code that gets executed in the host rather than the virtual environment.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-4041",
"description": "A flaw was found in ansible-runner. An improper escaping of the shell command, while calling the ansible_runner.interface.run_command, can lead to parameters getting executed as host\u0027s shell command. A developer could unintentionally write code that gets executed in the host rather than the virtual environment.",
"id": "GSD-2021-4041",
"references": [
"https://www.suse.com/security/cve/CVE-2021-4041.html",
"https://access.redhat.com/errata/RHSA-2022:0108"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "A flaw was found in ansible-runner. An improper escaping of the shell command, while calling the ansible_runner.interface.run_command, can lead to parameters getting executed as host\u0027s shell command. A developer could unintentionally write code that gets executed in the host rather than the virtual environment.",
"id": "GSD-2021-4041",
"modified": "2023-12-13T01:23:11.713600Z",
"schema_version": "1.4.0"
}
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"affects": {
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{
"product": {
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"product_name": "ansible-runner",
"version": {
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}
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}
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"value": "CWE-20 -Improper Input Validation"
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},
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"name": "https://github.com/ansible/ansible-runner/commit/3533f265f4349a3f2a0283158cd01b59a6bbc7bd",
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"url": "https://github.com/ansible/ansible-runner/commit/3533f265f4349a3f2a0283158cd01b59a6bbc7bd"
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"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c2.1.0",
"affected_versions": "All versions before 2.1.0",
"cvss_v3": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-116",
"CWE-78",
"CWE-937"
],
"date": "2022-09-01",
"description": "A flaw was found in ansible-runner. An improper escaping of the shell command, while calling the ansible_runner.interface.run_command, can lead to parameters getting executed as host\u0027s shell command. A developer could unintentionally write code that gets executed in the host rather than the virtual environment.",
"fixed_versions": [
"2.1.0"
],
"identifier": "CVE-2021-4041",
"identifiers": [
"GHSA-6j58-grhv-2769",
"CVE-2021-4041"
],
"not_impacted": "All versions starting from 2.1.0",
"package_slug": "pypi/ansible-runner",
"pubdate": "2022-08-25",
"solution": "Upgrade to version 2.1.0 or above.",
"title": "Improper Encoding or Escaping of Output",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-4041",
"https://github.com/ansible/ansible-runner/commit/3533f265f4349a3f2a0283158cd01b59a6bbc7bd",
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"https://bugzilla.redhat.com/show_bug.cgi?id=2028074",
"https://github.com/pypa/advisory-database/tree/main/vulns/ansible-runner/PYSEC-2022-253.yaml",
"https://github.com/advisories/GHSA-6j58-grhv-2769"
],
"uuid": "36f560a7-7399-49ad-9019-d66d2a0ec89c"
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{
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{
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{
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"description": {
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"value": "A flaw was found in ansible-runner. An improper escaping of the shell command, while calling the ansible_runner.interface.run_command, can lead to parameters getting executed as host\u0027s shell command. A developer could unintentionally write code that gets executed in the host rather than the virtual environment."
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"references": {
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{
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"name": "https://github.com/ansible/ansible-runner/commit/3533f265f4349a3f2a0283158cd01b59a6bbc7bd",
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},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2022-08-29T14:30Z",
"publishedDate": "2022-08-24T16:15Z"
}
}
}
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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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