CVE-2026-92919 (GCVE-0-2026-92919)
Vulnerability from cvelistv5 – Published: 2026-09-17 12:33 – Updated: 2026-09-17 12:33
VLAI
EPSS
VEX
Title
admin3 through 3.0.0 Arbitrary File Write via Path Traversal in Storage Upload Filename
Summary
admin3 through 3.0.0 fails to sanitize client-supplied filenames in the upload handler, allowing authenticated users to write files outside the storage root on Windows deployments. Attackers can use dot-dot path segments in filenames to escape the configured storage directory and overwrite arbitrary files accessible to the server process.
Severity
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/LinYuanyi1/cve-request-poc/blo… | exploit |
| https://github.com/cjbi/admin3/blob/3.0.0/admin3-… | technical-description |
| https://github.com/cjbi/admin3/blob/3.0.0/admin3-… | technical-description |
| https://github.com/cjbi/admin3 | product |
| https://www.vulncheck.com/advisories/admin3-throu… | third-party-advisory |
Impacted products
Date Public
2026-09-15 00:00
{
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"packageURL": "pkg:github/cjbi/admin3",
"product": "admin3",
"repo": "https://github.com/cjbi/admin3",
"vendor": "cjbi",
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"version": "0",
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}
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"descriptions": [
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"providerMetadata": {
"dateUpdated": "2026-09-17T12:33:23.853Z",
"orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"shortName": "VulnCheck"
},
"references": [
{
"name": "admin3 - path traversal write through the storage upload filename (PoC)",
"tags": [
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],
"url": "https://github.com/LinYuanyi1/cve-request-poc/blob/master/admin3/C03_storage_path_traversal_write.py"
},
{
"name": "LocalStorage.java at 3.0.0",
"tags": [
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"tags": [
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},
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"tags": [
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"url": "https://github.com/cjbi/admin3"
},
{
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}
],
"source": {
"discovery": "UNKNOWN"
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"title": "admin3 through 3.0.0 Arbitrary File Write via Path Traversal in Storage Upload Filename",
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"datePublished": "2026-09-17T12:33:23.853Z",
"dateReserved": "2026-09-17T11:07:29.772Z",
"dateUpdated": "2026-09-17T12:33:23.853Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
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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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