Langgenius Dify up to 1.14.x Squid Proxy remote-files make_request server-side request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.8 | $0-$5k | 1.67 |
Summary
A vulnerability identified as critical has been detected in Langgenius Dify up to 1.14.x. This impacts the function make_request of the file /console/api/remote-files of the component Squid Proxy. Performing a manipulation results in server-side request forgery.
This vulnerability is cataloged as CVE-2026-58141. It is possible to initiate the attack remotely. There is no exploit available.
You should upgrade the affected component.
Details
A vulnerability was found in Langgenius Dify up to 1.14.x. It has been classified as critical. This affects the function make_request of the file /console/api/remote-files of the component Squid Proxy. The manipulation with an unknown input leads to a server-side request forgery vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Dify before 1.15.0 contains a server-side request forgery vulnerability that allows any authenticated console user to bypass SSRF protections and issue arbitrary HTTP requests to internal services and cloud metadata endpoints due to the Squid proxy configuration only defining source ACLs without destination deny rules and the make_request() helper performing no independent destination IP validation. Attackers can use endpoints such as GET /console/api/remote-files/<url>, POST /console/api/remote-files/upload, the HTTP Request workflow node, website crawl, or document import from URL to reach internal components like the sandbox, internal APIs, and PostgreSQL, and on AWS deployments read IAM credentials from the instance metadata service, with the HTTP Request node further enabling POST, PUT, and DELETE writes to internal services relying on network isolation for authorization.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-58141 since 06/29/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details of the vulnerability are known, but there is no available exploit.
Upgrading to version 1.15.0 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
Website
- Product: https://github.com/langgenius/dify/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.9VulDB Meta Temp Score: 6.8
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.6
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Server-side request forgeryCWE: CWE-918
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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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Dify 1.15.0
Timeline
06/29/2026 CVE reserved11/06/2026 Advisory disclosed
11/06/2026 VulDB entry created
11/06/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CNA: VulnCheck
CVE: CVE-2026-58141 (🔒)
GCVE (CVE): GCVE-0-2026-58141
GCVE (VulDB): GCVE-100-431979
Entry
Created: 11/06/2026 17:14Changes: 11/06/2026 17:14 (78)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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