FKIE_CVE-2013-4259
Vulnerability from fkie_nvd - Published: 2013-09-16 19:14 - Updated: 2026-06-16 23:56
Severity
Summary
runner/connection_plugins/ssh.py in Ansible before 1.2.3, when using ControlPersist, allows local users to redirect a ssh session via a symlink attack on a socket file with a predictable name in /tmp/.
References
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:redhat:ansible:*:*:*:*:*:*:*:*",
"matchCriteriaId": "6AB08BC9-0C4C-4A13-AF0C-62BBC479ED79",
"versionEndIncluding": "1.2.2",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "runner/connection_plugins/ssh.py in Ansible before 1.2.3, when using ControlPersist, allows local users to redirect a ssh session via a symlink attack on a socket file with a predictable name in /tmp/."
},
{
"lang": "es",
"value": "runner/connection_plugins/ssh.py en Ansible anteriores a v1.2.3 al usar ControlPersist, permite a usuarios locales redirigir una sesi\u00f3n ssh a trav\u00e9s de un ataque de enlaces simb\u00f3licos sobre un archivo de socket con un nombre predecible en /tmp/."
}
],
"id": "CVE-2013-4259",
"lastModified": "2026-06-16T23:56:54.570",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 1.9,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:M/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 3.4,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2013-09-16T19:14:39.020",
"references": [
{
"source": "secalert@redhat.com",
"tags": [
"Vendor Advisory"
],
"url": "http://www.ansible.com/security"
},
{
"source": "secalert@redhat.com",
"tags": [
"Issue Tracking",
"Patch"
],
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=998223"
},
{
"source": "secalert@redhat.com",
"url": "https://groups.google.com/forum/#%21topic/ansible-project/UVDYW0HGcNg"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "http://www.ansible.com/security"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Issue Tracking",
"Patch"
],
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=998223"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://groups.google.com/forum/#%21topic/ansible-project/UVDYW0HGcNg"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-264"
}
],
"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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