GSD-2023-48893
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
SQL injection vulnerability in Senayan Library Management Systems Slims 9 Bulian v.9.6.1 allows a remote attacker to obtain sensitive information and execute arbitrary code via a crafted script to the date parameter in the staff_act.php.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-48893",
"id": "GSD-2023-48893"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "SQL injection vulnerability in Senayan Library Management Systems Slims 9 Bulian v.9.6.1 allows a remote attacker to obtain sensitive information and execute arbitrary code via a crafted script to the date parameter in the staff_act.php.",
"id": "GSD-2023-48893",
"modified": "2023-12-13T01:20:39.656888Z",
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"affects": {
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"description": {
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"value": "SLiMS (aka SENAYAN Library Management System) through 9.6.1 allows admin/modules/reporting/customs/staff_act.php SQL Injection via startDate or untilDate."
}
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"references": {
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"name": "https://github.com/slims/slims9_bulian/issues/209",
"refsource": "MISC",
"url": "https://github.com/slims/slims9_bulian/issues/209"
},
{
"name": "https://github.com/Vuln0wned/slims_owned/blob/main/slims/slims9-bulian-9.6.1-SQLI-staff_act.md",
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"url": "https://github.com/Vuln0wned/slims_owned/blob/main/slims/slims9-bulian-9.6.1-SQLI-staff_act.md"
}
]
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},
{
"lang": "es",
"value": "Senayan Library Management Systems SLIMS 9 Bulian v9.6.1 es vulnerable a la inyecci\u00f3n SQL a trav\u00e9s de admin/modules/reporting/customs/staff_act.php."
}
],
"id": "CVE-2023-48893",
"lastModified": "2023-12-31T00:15:44.330",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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"impactScore": 5.9,
"source": "nvd@nist.gov",
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"published": "2023-12-01T16:15:07.607",
"references": [
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}
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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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