CVE-2026-61644 (GCVE-0-2026-61644)
Vulnerability from cvelistv5 – Published: 2026-07-15 14:30 – Updated: 2026-07-15 16:32
VLAI
EPSS
VEX
Title
FastGPT: /api/core/chat/record/getCollectionQuote can disclose cross-tenant dataset text due to an unbound initialId lookup
Summary
FastGPT is a knowledge-based AI application platform. From 4.14.17 until 4.15.0-beta5, the POST /api/core/chat/record/getCollectionQuote endpoint authenticates the caller's chat and collection context, but the initialId center-node lookup is not bound to that authorized context. A low-privileged tenant user can call the endpoint with valid attacker-owned appId, chatId, chatItemDataId, and collectionId values while supplying another tenant's dataset data id as initialId, causing the response to include foreign dataset quote or full-text content. This issue is fixed in version 4.15.0-beta5.
Severity
7.7 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-15 16:29 UTC
CWE
- CWE-863 - Incorrect Authorization
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/labring/FastGPT/security/advis… | x_refsource_CONFIRM |
| https://github.com/labring/FastGPT/pull/7173 | x_refsource_MISC |
| https://github.com/labring/FastGPT/commit/0c1840c… | x_refsource_MISC |
| https://github.com/labring/FastGPT/releases/tag/v… | x_refsource_MISC |
Impacted products
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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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