infiniflow ragflow up to 0.26.2 Agent Update Endpoint cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.4 | $0-$5k | 2.80 |
Summary
A vulnerability was found in infiniflow ragflow up to 0.26.2. It has been rated as problematic. Affected by this vulnerability is an unknown functionality of the component Agent Update Endpoint. This manipulation causes cross site scripting. This vulnerability is handled as CVE-2026-58579. The attack can be initiated remotely. There is not any exploit available. Upgrading the affected component is advised.
Details
A vulnerability was found in infiniflow ragflow up to 0.26.2. It has been declared as problematic. Affected by this vulnerability is an unknown function of the component Agent Update Endpoint. The manipulation with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. As an impact it is known to affect integrity. The summary by CVE is:
RAGFlow before 0.26.3 stores an agent pipeline (DSL) node name without sanitization: the agent update endpoint normalizes the submitted DSL via normalize_dsl, which only performs JSON serialization validation and preserves the node name verbatim. The dataflow-result web UI then renders that name into the "Rerun from current step" confirmation modal via dangerouslySetInnerHTML, and the i18next configuration sets escapeValue:false, so the value is inserted into the DOM without HTML encoding. An authenticated workspace user who can create or edit an agent can inject arbitrary JavaScript that executes in the session of another workspace member who opens the dataflow result and clicks rerun, enabling session/token theft and account takeover across the user trust boundary.
The weakness was released by George Chen as 16507. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-58579 since 07/01/2026. The exploitation appears to be easy. The attack can be launched remotely. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
Upgrading to version 0.26.3 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying the patch 572f1ea9f4eba6a60e64f7437dee60aa1c0913f1 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
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Product
Vendor
Name
Version
License
Website
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: 4.4VulDB Meta Temp Score: 4.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 5.4
CNA Vector (VulnCheck): 🔒
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: ragflow 0.26.3
Patch: 572f1ea9f4eba6a60e64f7437dee60aa1c0913f1
Timeline
07/01/2026 CVE reserved07/02/2026 Advisory disclosed
07/02/2026 VulDB entry created
07/02/2026 VulDB entry last update
Sources
Product: github.comAdvisory: 16507
Researcher: George Chen
Status: Confirmed
CVE: CVE-2026-58579 (🔒)
GCVE (CVE): GCVE-0-2026-58579
GCVE (VulDB): GCVE-100-375991
Entry
Created: 07/02/2026 22:36Changes: 07/02/2026 22:36 (81)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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