FastGPT
CVE-2026-44286
LOW
Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
-
ReconAuthenticate to FastGPT platform
-
DeliveryAccess App editor with privileges
-
ExploitCreate or modify lafModule workflow node
-
InstallConfigure fetchData function with internal target URL
-
C2Execute workflow
-
ExecuteBypass isInternalAddress blocklist
-
ImpactRetrieve internal service response
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V4 - API and Web Service URL allowlisting, SSRF prevention
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Credential Access The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | The vulnerability requires the attacker to be an authenticated user with App editing privileges to craft or modify a workflow node. The lafModule workflow node with fetchData function must be present and executable within the workflow. The URL parameter passed to fetchData must be user-controllable (either directly from workflow configuration or from input data). Exploitation is limited to the scope of what the FastGPT application process can reach network-wise-typically internal services on the same network segment or cloud metadata endpoints accessible from the application server. Non-default configurations that restrict outbound network access or place the FastGPT application behind a strict egress firewall would limit practical exploitation, but the vulnerability exists in default configurations. |
| Impact | The CVSS v4.0 score of 2.3 with vector AV:N/AC:L/AT:P/PR:L indicates network-accessible but low-impact exploitation with attack time penalty (AT:P) and low-privilege requirement (PR:L). The CVSS severity downgrade from typical SSRF severity (often high or critical) is driven by: (1) the information disclosure impact is limited (VI:L with VC:N/VA:N/SA:N), suggesting the vulnerability does not enable remote code execution or direct data exfiltration; (2) authenticated access is required (PR:L), limiting the attack surface to users with App editing privileges or the attacker must be an authenticated user; (3) AT:P indicates attack-time preparation or user interaction may be necessary. However, the practical risk assessment must account for the attack vector being network-accessible (AV:N) and low complexity (AC:L). In a multi-tenant SaaS deployment, any authenticated user with App editing privileges becomes an attacker vector, making this a potential lateral movement or reconnaissance tool to enumerate internal infrastructure. The real-world risk depends heavily on deployment model: in self-hosted environments with restricted authentication, risk is lower; in public or loosely-managed instances, risk is elevated. No CISA KEV status provided, no public exploit code referenced, and no active exploitation reported-this appears to be a coordinated disclosure with vendor-released patch available. |
| Exploit ScenarioDerived | An authenticated user with App editing privileges creates or modifies a workflow that includes a lafModule node with a fetchData function. The attacker configures the node to fetch from a user-controlled URL parameter and sets it to an internal address such as http://169.254.169.254/latest/meta-data (AWS metadata endpoint) or http://localhost:6379 (common Redis port). When the workflow is executed, the fetchData function sends the HTTP request without validating the URL against the internal blocklist, allowing the attacker to enumerate internal services, extract metadata, or probe internal infrastructure. |
Get an e-mail when this CVE is exploited, patched or re-scored. Free account.
Alert meAnalysisAIv1 – May 09, 2026
Server-side request forgery (SSRF) in FastGPT prior to version 4.14.17 allows authenticated users with App editing privileges to bypass SSRF protections in the lafModule workflow node's fetchData function, enabling arbitrary HTTP requests to internal and private network addresses via unvalidated user-controlled URLs passed to axios without filtering against the application's isInternalAddress blocklist.
RemediationAI
Upgrade FastGPT to version 4.14.17 or later immediately. For Docker deployments, update both the fastgpt-app and fastgpt-pro container image tags to v4.14.17 as specified in the vendor release notes. If immediate upgrade is not feasible, restrict App editing privileges to trusted administrators only and audit existing workflow nodes to identify and disable any lafModule nodes using the fetchData function with user-controlled URL inputs. The vendor advisory is available at https://github.com/labring/FastGPT/security/advisories/GHSA-xpx6-xcpf-76qg and the patched release at https://github.com/labring/FastGPT/releases/tag/v4.14.17.
Affects your stack
Find out whether the stacks and servers you run are on an affected version.
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
FastGPT is an AI Agent building platform that uses a workflow node system for data processing. The lafModule workflow node contains a fetchData function that uses the axios HTTP client library to retrieve data from user-provided URLs. The vulnerability exists because the function fails to validate URLs against FastGPT's isInternalAddress blocklist guard, which is designed to prevent SSRF attacks by filtering requests to internal or private network ranges (typically RFC 1918 addresses, loopback, and metadata service endpoints). This represents a classic CWE-918 (Server-Side Request Forgery) flaw where user-controlled input (the URL parameter) is passed directly to an outbound HTTP request without proper validation, allowing attackers to enumerate internal services, access metadata endpoints, or interact with internal APIs.
Know when Fastgpt gets its next vulnerability
- Watch products and get an email when something new is published
- Check this CVE against your own stack and servers
- Exploit and PoC references, threat intelligence from 22 sources
No credit card · 7-day full trial
Severity by source
CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N
Primary rating from Vendor (GitHub_M) · only source for this CVE.
CVSS VectorVendor: GitHub_M
Lifecycle Timeline
3DescriptionCVE.org
FastGPT is an AI Agent building platform. Prior to version 4.14.17, an unauthenticated Server-Side Request Forgery (SSRF) vulnerability allows attackers (or authenticated users with App editing privileges) to send arbitrary HTTP requests to internal/private network addresses. The fetchData function in the lafModule workflow node uses axios to fetch user-controlled URLs without validating them against the application's internal network blocklist guard (isInternalAddress), bypassing SSRF protections. This issue has been patched in version 4.14.17.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Server-Side Request Forgery exploits applications that fetch remote resources based on user-supplied URLs.
Affected Products (CPE)CVE.org
FastGPT is an AI Agent building platform. Prior to version 4.9.12, the LastRoute Parameter on login page is vulnerable t
Unauthenticated HTTP proxy abuse in FastGPT (AI Agent platform) prior to v4.14.9.5 allows remote attackers to relay arbi
Remote code execution in FastGPT's agent-sandbox component (versions 4.14.10 through 4.14.12) lets any network-adjacent,
NoSQL injection in FastGPT <4.14.9.5 password authentication allows unauthenticated remote attackers to bypass login con
Channel hijack and denial of service in FastGPT (labring/FastGPT) before 4.15.2 lets an unauthenticated remote attacker
GitHub Actions artifact-poisoning (pwn request) in labring/FastGPT allows an external attacker who opens a pull request
Authentication bypass in FastGPT 4.15.0-beta4 lets unauthenticated remote attackers forge JWTs and access internal plugi
NoSQL injection in FastGPT versions before 4.14.9.5 allows authenticated attackers to bypass password verification on th
FastGPT versions 4.14.8.3 and below contain a critical arbitrary code execution vulnerability in the fastgpt-preview-ima
Cross-tenant file disclosure in FastGPT prior to v4.15.0-beta5 allows an attacker to read another team's stored files by
Cross-tenant data disclosure in FastGPT 4.14.17 through 4.15.0-beta5 lets a low-privileged tenant user read another tena
Server-side request forgery in FastGPT before 4.15.0-beta4 lets an authenticated team member abuse the HTTP-tool OpenAPI
NVD
CVE.org
EPSS
Vulnrichment
GitHub
Exploit-DB