CVE-2024-9440 (GCVE-0-2024-9440)
Vulnerability from cvelistv5 – Published: 2024-10-02 18:40 – Updated: 2026-07-14 22:54
VLAI
EPSS
VEX
Title
Slim Select 2.0 createOption "text" XSS
Summary
Slim Select 2.0 versions through 2.9.0 are affected by a potential cross-site scripting vulnerability. In select.ts:createOption(), the text variable from the user-provided Options object is assigned to an innerHTML without sanitation. Software that depends on this library to dynamically generate lists using unsanitized user-provided input may be vulnerable to cross-site scripting, resulting in attacker executed JavaScript. At this time, no patch is available.
Severity
5.4 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-02 19:10 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation (XSS or 'Cross-site Scripting')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://vulncheck.com/advisories/slim-select-xss | third-party-advisory |
| https://github.com/brianvoe/slim-select/issues/564 | issue-tracking |
| https://github.com/brianvoe/slim-select/blob/e7e3… | x_vulnerable-code |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
|
Affected:
2.0 , ≤ 2.9.0
(custom)
cpe:2.3:a:slimselectjs:slim_select:*:*:*:*:*:node.js:*:* |
||||
| brian_voelker | slim_select |
Affected:
2.0 , ≤ 2.9.0
(semver)
cpe:2.3:a:brian_voelker:slim_select:*:*:*:*:*:*:*:* |
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"title": "Slim Select 2.0 createOption \"text\" XSS",
"x_generator": {
"engine": "vulncheck"
}
}
},
"cveMetadata": {
"assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"assignerShortName": "VulnCheck",
"cveId": "CVE-2024-9440",
"datePublished": "2024-10-02T18:40:05.254Z",
"dateReserved": "2024-10-02T17:45:54.918Z",
"dateUpdated": "2026-07-14T22:54:54.888Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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