FKIE_CVE-2026-51862
Vulnerability from fkie_nvd - Published: 2026-09-30 21:17 - Updated: 2026-10-01 02:18
Severity
Summary
DB-GPT 0.8.0 contains directory traversal in skill_upload (packages/dbgpt-app/src/dbgpt_app/openapi/api_v1/agentic_data_api.py:40). A remote attacker can use the validated exploitation path to write files outside the intended workspace or storage boundary.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "DB-GPT 0.8.0 contains directory traversal in skill_upload (packages/dbgpt-app/src/dbgpt_app/openapi/api_v1/agentic_data_api.py:40). A remote attacker can use the validated exploitation path to write files outside the intended workspace or storage boundary."
}
],
"id": "CVE-2026-51862",
"lastModified": "2026-10-01T02:18:39.130",
"metrics": {},
"published": "2026-09-30T21:17:12.243",
"references": [
{
"source": "cve@mitre.org",
"url": "https://gist.github.com/Ro1ME/c09e6aca2e9c7280ca4fabb1f44dcd2a"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/eosphoros-ai/DB-GPT/issues/3026"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Deferred"
}
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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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