ZDI-CAN-15101: Siemens JT2Go JT File Parsing Out-Of-Bounds Read Information Disclosure Vulnerability

This vulnerability allows remote attackers to disclose sensitive information on affected installations of Siemens JT2Go. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of JT files. The issue results from the lack of proper validation of user-supplied data, which can result in a read past the end of an allocated buffer. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the current process.

Affected Software

1 affected component
Siemens JT2Go

Event History

Aug 4, 2024
Advisory Published
via ZDI·04:18 AM

Frequently Asked Questions

1

What is the severity of ZDI-CAN-15101?

The severity of ZDI-CAN-15101 is considered to be medium due to the potential for sensitive information disclosure.

2

How do I fix ZDI-CAN-15101?

To fix ZDI-CAN-15101, ensure that all Siemens JT2Go installations are updated to the latest patched version recommended by Siemens.

3

What kind of attack vector is associated with ZDI-CAN-15101?

ZDI-CAN-15101 can be exploited by attackers through user interaction, such as visiting a malicious webpage or opening a malicious file.

4

Which software is affected by ZDI-CAN-15101?

The affected software for ZDI-CAN-15101 is Siemens JT2Go.

5

Is user interaction required to exploit ZDI-CAN-15101?

Yes, user interaction is required to exploit ZDI-CAN-15101.

Contact

SecAlerts Pty Ltd.
132 Wickham Terrace
Fortitude Valley,
QLD 4006, Australia
info@secalerts.co
By using SecAlerts services, you agree to our services end-user license agreement. This website is safeguarded by reCAPTCHA and governed by the Google Privacy Policy and Terms of Service. All names, logos, and brands of products are owned by their respective owners, and any usage of these names, logos, and brands for identification purposes only does not imply endorsement. If you possess any content that requires removal, please get in touch with us.
© 2026 SecAlerts Pty Ltd.
ABN: 70 645 966 203, ACN: 645 966 203