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FastGPT EUVD-2026-33430

| CVE-2026-44285 HIGH
Server-Side Request Forgery (SSRF) (CWE-918)
2026-05-29 GitHub_M
7.7
CVSS 3.1 · GitHub Advisory
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Severity by source

GitHub Advisory PRIMARY
7.7 HIGH
AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N
Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Changed
Confidentiality
High
Integrity
None
Availability
None

Lifecycle Timeline

2
Patch available
May 29, 2026 - 21:02 EUVD
Analysis Generated
May 29, 2026 - 20:30 vuln.today

DescriptionGitHub Advisory

FastGPT is an AI Agent building platform. Prior to 4.15.0-beta1, a Server-Side Request Forgery (SSRF) vulnerability allows an authenticated attacker to bypass the global isInternalAddress network protection and make arbitrary HTTP GET requests to internal network services. This is achieved by exploiting an incomplete fix in the dataset preview endpoint /api/core/dataset/file/getPreviewChunks when utilizing the externalFile data import type. This vulnerability is fixed in 4.15.0-beta1.

AnalysisAI

Server-Side Request Forgery in Labring FastGPT prior to 4.15.0-beta1 lets an authenticated attacker bypass the platform's isInternalAddress network protection and pivot HTTP GET probes into internal services via the dataset preview endpoint. The flaw stems from an incomplete prior fix in the externalFile data import path, scoped-changed impact (S:C) elevates risk to adjacent systems, and no public exploit identified at time of analysis.

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Recon
Register or obtain low-privileged FastGPT account
Delivery
Create dataset using externalFile import type
Exploit
Submit internal URL (metadata/admin/loopback)
Install
Call /api/core/dataset/file/getPreviewChunks endpoint
C2
Bypass isInternalAddress check via incomplete fix
Execute
Server fetches and returns internal response
Impact
Harvest credentials or internal service data

Vulnerability AssessmentAI

Exploitation Attacker must hold valid FastGPT credentials with permission to call the dataset import APIs (CVSS PR:L), and the target instance must be reachable over the network and accept the externalFile data import type at /api/core/dataset/file/getPreviewChunks. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment CVSS 7.7 (AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N) reflects a network-reachable, low-complexity attack requiring only low-privilege authentication, with scope change and high confidentiality impact but no integrity or availability effect - consistent with a read-only SSRF that exfiltrates data from adjacent internal systems rather than tampering with them. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario An attacker who has signed up for or obtained a low-privileged account on a multi-tenant or internet-exposed FastGPT instance creates a dataset using the externalFile import type and supplies an internal URL (for example http://169.254.169.254/latest/meta-data/iam/security-credentials/ or http://localhost:6379/) as the file source. They then invoke /api/core/dataset/file/getPreviewChunks, which fetches the URL server-side past the bypassed isInternalAddress check and returns the response body as preview content, enabling reconnaissance and read-only exfiltration of internal HTTP-reachable services. …
Remediation Vendor-released patch: upgrade to FastGPT 4.15.0-beta1 or later as documented in GHSA-c65v-7vx6-f8m3 (https://github.com/labring/FastGPT/security/advisories/GHSA-c65v-7vx6-f8m3). … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours: Identify all FastGPT deployments in your environment and audit dataset preview endpoint logs for suspicious internal IP access patterns; immediately restrict dataset preview access to users with documented business need. …

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EUVD-2026-33430 vulnerability details – vuln.today

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