labring FastGPT up to 4.15.0-beta3 Dataset Collection reTrainingCollection improper authorization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.0 | $0-$5k | 0.58 |
Summary
A vulnerability labeled as critical has been found in labring FastGPT up to 4.15.0-beta3. This affects an unknown part of the file /api/core/dataset/collection/create/reTrainingCollection of the component Dataset Collection Handler. Executing a manipulation can lead to improper authorization. This vulnerability appears as CVE-2026-54601. The attack may be performed from remote. There is no available exploit.
Details
A vulnerability has been found in labring FastGPT up to 4.15.0-beta3 and classified as critical. This vulnerability affects an unknown part of the file /api/core/dataset/collection/create/reTrainingCollection of the component Dataset Collection Handler. The manipulation with an unknown input leads to a improper authorization vulnerability. The CWE definition for the vulnerability is CWE-285. The product does not perform or incorrectly performs an authorization check when an actor attempts to access a resource or perform an action. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:
FastGPT is an open source AI knowledge base platform. From 4.14.17 to before 4.15.0-beta4, FastGPT allows an authenticated tenant user to call POST /api/core/dataset/collection/create/reTrainingCollection in a way that persists a server-owned datasetId value from another tenant. This creates mixed dataset objects and downstream dataset, collection, and training endpoints then make authorization decisions from inconsistent ownership anchors, allowing cross-tenant read, update, and delete access when mixed object ids are known. This issue is fixed in version 4.15.0-beta4.
The advisory is shared for download at github.com. This vulnerability was named CVE-2026-54601 since 06/15/2026. The exploitation appears to be easy. The attack can be initiated remotely. There are known technical details, but no exploit is available. The MITRE ATT&CK project declares the attack technique as T1548.002.
Upgrading to version 4.15.0-beta4 eliminates this vulnerability.
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Product
Vendor
Name
Version
Website
- Product: https://github.com/labring/FastGPT/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.0
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Improper authorizationCWE: CWE-285 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Upgrade: FastGPT 4.15.0-beta4
Timeline
06/15/2026 CVE reserved07/07/2026 Advisory disclosed
07/07/2026 VulDB entry created
07/08/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-54601 (🔒)
GCVE (CVE): GCVE-0-2026-54601
GCVE (VulDB): GCVE-100-376708
Entry
Created: 07/08/2026 00:01Changes: 07/08/2026 00:01 (54)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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