JGraph draw.io up to 31.1.4 GraphML Decoder cross site scripting

CVSS Meta Temp Score
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CTI Interest Score
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5.1$0-$5k0.69+

Summaryinfo

A vulnerability classified as problematic has been found in JGraph draw.io up to 31.1.4. Impacted is an unknown function of the component GraphML Decoder. This manipulation causes cross site scripting. This vulnerability is tracked as CVE-2026-115762. The attack is possible to be carried out remotely. No exploit exists. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability classified as problematic was found in JGraph draw.io up to 31.1.4. Affected by this vulnerability is some unknown processing of the component GraphML Decoder. 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:

draw.io is a configurable diagramming and whiteboarding application. Prior to 31.1.5, the GraphML decoder contains a prototype-pollution vulnerability. Attacker-controlled GraphML reference keys can address inherited object properties, including prototype objects, and the decoder can then assign attacker-controlled attributes to those objects. Importing a malicious GraphML file can trigger client-side prototype pollution. In the advisory-supported cross-site scripting chain, the editor is opened in Trello mode and the user invokes the Trello integration after the import, allowing the polluted state to execute script in the draw.io origin; an existing Trello connection is not required. This vulnerability is fixed in 31.1.5.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-115762 since 10/23/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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 31.1.5 eliminates this vulnerability.

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

Productinfo

Vendor

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.2
VulDB Meta Temp Score: 5.1

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

CNA Base Score: 6.1
CNA Vector (GitHub_M): 🔒

CVSSv2info

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

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: draw.io 31.1.5

Timelineinfo

10/23/2026 CVE reserved
11/04/2026 +12 days Advisory disclosed
11/04/2026 +0 days VulDB entry created
11/04/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Confirmed

CNA: GitHub_M
CVE: CVE-2026-115762 (🔒)

GCVE (CVE): GCVE-0-2026-115762
GCVE (VulDB): GCVE-100-431227

Entryinfo

Created: 11/04/2026 22:10
Changes: 11/04/2026 22:10 (64)
Complete: 🔍
Cache ID: 216::103

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

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