CVE-2014-1471 (GCVE-0-2014-1471)
Vulnerability from cvelistv5 – Published: 2014-02-04 16:00 – Updated: 2024-08-06 09:42
VLAI
EPSS
VEX
Summary
SQL injection vulnerability in the StateGetStatesByType function in Kernel/System/State.pm in Open Ticket Request System (OTRS) 3.1.x before 3.1.19, 3.2.x before 3.2.14, and 3.3.x before 3.3.4 allows remote attackers to execute arbitrary SQL commands via vectors related to a ticket search URL.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
11 references
| URL | Tags |
|---|---|
| https://github.com/OTRS/otrs/commit/0680603a07b8d… | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/65241 | vdb-entryx_refsource_BID |
| http://www.openwall.com/lists/oss-security/2014/0… | mailing-listx_refsource_MLIST |
| https://www.otrs.com/security-advisory-2014-02-sq… | x_refsource_CONFIRM |
| https://github.com/OTRS/otrs/commit/c4ec9205bde9c… | x_refsource_CONFIRM |
| http://osvdb.org/102661 | vdb-entryx_refsource_OSVDB |
| https://www.otrs.com/release-notes-otrs-help-desk-3-3-4 | x_refsource_CONFIRM |
| http://secunia.com/advisories/56655 | third-party-advisoryx_refsource_SECUNIA |
| https://github.com/OTRS/otrs/commit/2997b36a7c84e… | x_refsource_CONFIRM |
| http://secunia.com/advisories/56644 | third-party-advisoryx_refsource_SECUNIA |
| http://www.debian.org/security/2014/dsa-2867 | vendor-advisoryx_refsource_DEBIAN |
Date Public
2014-01-28 00:00
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],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-05-10T01:18:23Z",
"cve": "CVE-2014-1471",
"id": "CVE-2014-1471",
"initial_release_date": "2023-02-15T05:31:15Z",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2014-1471",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2014-1471.json",
"version": "3"
}
}
}
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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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