labring FastGPT up to 4.15.0-beta4 HTTP Request Node server-side request forgery

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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4.1$0-$5k0.15+

Summaryinfo

A vulnerability identified as problematic has been detected in labring FastGPT up to 4.15.0-beta4. This vulnerability affects unknown code of the component HTTP Request Node. The manipulation leads to server-side request forgery. This vulnerability is listed as CVE-2026-61646. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability was found in labring FastGPT up to 4.15.0-beta4 and classified as problematic. This issue affects some unknown functionality of the component HTTP Request Node. The manipulation with an unknown input leads to a server-side request forgery vulnerability. Using CWE to declare the problem leads to CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. Impacted is confidentiality. The summary by CVE is:

FastGPT is a knowledge-based AI application platform. Prior to 4.15.0-beta5, FastGPT's shared SSRF guard validates only the initial request URL before handing the request to axios, and axios follows redirects by default. An authenticated workflow user can configure an HTTP request node to call an attacker-controlled public URL that redirects to cloud metadata, loopback, or internal services that the guard would block on direct request, and the HTTP node returns the response body to the workflow caller. This issue is fixed in version 4.15.0-beta5.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-61646 since 07/10/2026. The exploitation is known to be easy. The attack may be initiated remotely. The technical details are unknown and an exploit is not publicly available.

Upgrading to version 4.15.0-beta5 eliminates this vulnerability.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.1

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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💳💳💳💳💳💳
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Server-side request forgery
CWE: CWE-918
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Upgrade: FastGPT 4.15.0-beta5

Timelineinfo

07/10/2026 CVE reserved
07/15/2026 +5 days Advisory disclosed
07/15/2026 +0 days VulDB entry created
07/15/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-61646 (🔒)
GCVE (CVE): GCVE-0-2026-61646
GCVE (VulDB): GCVE-100-379283

Entryinfo

Created: 07/15/2026 17:26
Changes: 07/15/2026 17:26 (53)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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