GSD-2017-15134
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
A stack buffer overflow flaw was found in the way 389-ds-base 1.3.6.x before 1.3.6.13, 1.3.7.x before 1.3.7.9, 1.4.x before 1.4.0.5 handled certain LDAP search filters. A remote, unauthenticated attacker could potentially use this flaw to make ns-slapd crash via a specially crafted LDAP request, thus resulting in denial of service.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-15134",
"description": "A stack buffer overflow flaw was found in the way 389-ds-base 1.3.6.x before 1.3.6.13, 1.3.7.x before 1.3.7.9, 1.4.x before 1.4.0.5 handled certain LDAP search filters. A remote, unauthenticated attacker could potentially use this flaw to make ns-slapd crash via a specially crafted LDAP request, thus resulting in denial of service.",
"id": "GSD-2017-15134",
"references": [
"https://www.suse.com/security/cve/CVE-2017-15134.html",
"https://access.redhat.com/errata/RHSA-2018:0163",
"https://advisories.mageia.org/CVE-2017-15134.html",
"https://alas.aws.amazon.com/cve/html/CVE-2017-15134.html",
"https://linux.oracle.com/cve/CVE-2017-15134.html"
]
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
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"id": "GSD-2017-15134",
"modified": "2023-12-13T01:20:59.414612Z",
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"impact": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
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"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
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"scope": "UNCHANGED",
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"lastModifiedDate": "2019-05-15T21:29Z",
"publishedDate": "2018-03-01T22:29Z"
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}
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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 |
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Nomenclature
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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
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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.
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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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