langflow-ai langflow up to 1.8.3 Frontend React Component Rendering edit-message.tsx cross site scripting

Summaryinfo

A vulnerability has been found in langflow-ai langflow up to 1.8.3 and classified as problematic. This impacts an unknown function of the file src/frontend/src/modals/IOModal/components/chatView/chatMessage/components/edit-message.tsx of the component Frontend React Component Rendering. The manipulation leads to cross site scripting. This vulnerability is referenced as CVE-2026-6600. Remote exploitation of the attack is possible. Furthermore, an exploit is available. The vendor was contacted early about this disclosure but did not respond in any way.

Detailsinfo

A vulnerability was found in langflow-ai langflow up to 1.8.3. It has been rated as problematic. This issue affects an unknown part of the file src/frontend/src/modals/IOModal/components/chatView/chatMessage/components/edit-message.tsx of the component Frontend React Component Rendering. The manipulation with an unknown input leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to 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. Impacted is integrity.

It is possible to read the advisory at gist.github.com. The identification of this vulnerability is CVE-2026-6600. The exploitation is known to be easy. The attack may be initiated remotely. It demands that the victim is doing some kind of user interaction. Technical details as well as a public exploit are known. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

The exploit is available at gist.github.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.5
VulDB Meta Temp Score: 3.2

VulDB Base Score: 3.5
VulDB Temp Score: 3.2
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
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: 🔒

Timelineinfo

04/19/2026 Advisory disclosed
04/19/2026 +0 days VulDB entry created
04/19/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: gist.github.com
Status: Not defined

CVE: CVE-2026-6600 (🔒)
GCVE (CVE): GCVE-0-2026-6600
GCVE (VulDB): GCVE-100-358235
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 04/19/2026 15:52
Changes: 04/19/2026 15:52 (57)
Complete: 🔍
Submitter: Eric-f
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #791923: Langflow <= 1.8.3 Stored Cross-Site Scripting (by Eric-f)

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

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