CVE-2026-75898: Server-Side Request Forgery (SSRF) in infiniflow ragflow
RAGFlow before 0.26.3 contains a server-side request forgery vulnerability in the agent workflow "Invoke" component (agent/component/invoke.py). The component builds an outbound request URL from canvas configuration and runtime template variables and passes it to requests.get, requests.post, or requests.put without calling the shared assert_url_is_safe validator or pinning the resolved address, unlike the crawler, SearXNG, file-upload, and RSS fetch paths. A user who can create or trigger an agent can direct the server to fetch loopback, link-local, and RFC 1918 destinations, including cloud instance metadata endpoints and services co-located on the deployment network, and the response body is returned as the component output. Where an agent is configured to interpolate the chat query into the Invoke URL, the destination is chosen by whoever can send that query.
AI Analysis
Technical Summary
CVE-2026-75898 is an SSRF vulnerability in the RAGFlow product by infiniflow, affecting versions prior to 0.26.3. The vulnerability exists in the agent workflow "Invoke" component (agent/component/invoke.py), which builds outbound request URLs from canvas configuration and runtime template variables and calls requests.get, requests.post, or requests.put without invoking the shared URL safety validator or restricting the resolved addresses. This allows an attacker with the ability to create or trigger an agent to direct the server to fetch resources from internal network locations, including cloud metadata endpoints and other services on the deployment network. The response body from these requests is returned as output, potentially leaking sensitive information. The vulnerability is rated with a CVSS 4.0 score of 8.4 (high severity).
Potential Impact
An attacker who can create or trigger an agent in RAGFlow versions before 0.26.3 can exploit this SSRF vulnerability to make the server perform HTTP requests to internal or restricted network resources. This includes accessing loopback addresses, link-local addresses, RFC 1918 private IP ranges, and cloud instance metadata endpoints. The attacker can receive the response body from these requests, potentially exposing sensitive internal data or cloud credentials. This could lead to information disclosure and further attacks within the internal network. There is no indication of known exploits in the wild at this time.
Mitigation Recommendations
A fix is available in RAGFlow version 0.26.3 and later. Users should upgrade to version 0.26.3 or newer to remediate this SSRF vulnerability. Until upgraded, avoid allowing untrusted users to create or trigger agents that use the Invoke component. The vendor advisory or patch links are not provided here; users should consult the official infiniflow resources for the update.
CVE-2026-75898: Server-Side Request Forgery (SSRF) in infiniflow ragflow
Description
RAGFlow before 0.26.3 contains a server-side request forgery vulnerability in the agent workflow "Invoke" component (agent/component/invoke.py). The component builds an outbound request URL from canvas configuration and runtime template variables and passes it to requests.get, requests.post, or requests.put without calling the shared assert_url_is_safe validator or pinning the resolved address, unlike the crawler, SearXNG, file-upload, and RSS fetch paths. A user who can create or trigger an agent can direct the server to fetch loopback, link-local, and RFC 1918 destinations, including cloud instance metadata endpoints and services co-located on the deployment network, and the response body is returned as the component output. Where an agent is configured to interpolate the chat query into the Invoke URL, the destination is chosen by whoever can send that query.
CVSS v4.0
Score 8.4high
Affected software
infiniflow
ragflow
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-75898 is an SSRF vulnerability in the RAGFlow product by infiniflow, affecting versions prior to 0.26.3. The vulnerability exists in the agent workflow "Invoke" component (agent/component/invoke.py), which builds outbound request URLs from canvas configuration and runtime template variables and calls requests.get, requests.post, or requests.put without invoking the shared URL safety validator or restricting the resolved addresses. This allows an attacker with the ability to create or trigger an agent to direct the server to fetch resources from internal network locations, including cloud metadata endpoints and other services on the deployment network. The response body from these requests is returned as output, potentially leaking sensitive information. The vulnerability is rated with a CVSS 4.0 score of 8.4 (high severity).
Potential Impact
An attacker who can create or trigger an agent in RAGFlow versions before 0.26.3 can exploit this SSRF vulnerability to make the server perform HTTP requests to internal or restricted network resources. This includes accessing loopback addresses, link-local addresses, RFC 1918 private IP ranges, and cloud instance metadata endpoints. The attacker can receive the response body from these requests, potentially exposing sensitive internal data or cloud credentials. This could lead to information disclosure and further attacks within the internal network. There is no indication of known exploits in the wild at this time.
Mitigation Recommendations
A fix is available in RAGFlow version 0.26.3 and later. Users should upgrade to version 0.26.3 or newer to remediate this SSRF vulnerability. Until upgraded, avoid allowing untrusted users to create or trigger agents that use the Invoke component. The vendor advisory or patch links are not provided here; users should consult the official infiniflow resources for the update.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-08-18T14:17:24.124Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6a846d94c6e8be0332554694
Added to database: 08/18/2026, 14:35:00 UTC
Last enriched: 09/25/2026, 02:41:30 UTC
Last updated: 10/03/2026, 14:46:10 UTC
Views: 75
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