OPENSUSE-SU-2016:1980-1
Vulnerability from csaf_opensuse - Published: 2016-08-05 18:14 - Updated: 2026-09-20 18:42Summary
Security update for redis
Severity
Moderate
Notes
Title of the patch: Security update for redis
Description of the patch: This update for redis fixes the following issues:
- CVE-2013-7458: unsafe permissions of command line history (boo#991250)
Patchnames: openSUSE-2016-945
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
Affected products
Recommended
4 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Package Hub 12:redis-0:3.0.7-6.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Package Hub 12:redis-0:3.0.7-6.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Package Hub 12:redis-0:3.0.7-6.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Package Hub 12:redis-0:3.0.7-6.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
low
References
7 references
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},
{
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{
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},
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},
"vulnerabilities": [
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"ids": [
{
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}
],
"notes": [
{
"category": "general",
"text": "linenoise, as used in Redis before 3.2.3, uses world-readable permissions for .rediscli_history, which allows local users to obtain sensitive information by reading the file.",
"title": "CVE description"
}
],
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{
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"summary": "SUSE Bug 991250 for CVE-2013-7458",
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},
{
"category": "external",
"summary": "SUSE Bug 991387 for CVE-2013-7458",
"url": "https://bugzilla.suse.com/991387"
}
],
"remediations": [
{
"category": "vendor_fix",
"details": "To install this SUSE Security Update use the SUSE recommended installation methods like YaST online_update or \"zypper patch\".\n",
"product_ids": [
"SUSE Package Hub 12:redis-0:3.0.7-6.1.aarch64",
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"SUSE Package Hub 12:redis-0:3.0.7-6.1.x86_64"
]
}
],
"scores": [
{
"cvss_v3": {
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"baseSeverity": "LOW",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.0"
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],
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"category": "impact",
"date": "2016-08-05T18:14:32Z",
"details": "low"
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],
"title": "CVE-2013-7458"
}
]
}
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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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