Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

CVE-2024-31199

Summary

A “CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')” allows malicious users to permanently inject arbitrary Javascript code.

Impact

Arbitrary Javascript code can be executed in the context of the victim browser, therefore allowing the execution of any operation on behalf of the victim user.

Issue Date

July 7, 2023

Affects

Sensor Net Connect V2 (FW version 2.24)

CVE Name

CVE-2024-31199

CVSS Details

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

CVSS Score

8.8

Solution

No official patch available from vendor. Implement strict access controls for the temperature monitoring infrastructure. This includes preventing regular clients from accessing the web configuration interface, thereby limiting potential points of exploitation. Conduct regular and thorough reviews of logs and user accounts on systems running the Thermoscan IP software. This will help identify and address any suspicious activities early, ensuring that any potential security breaches are caught and remediated swiftly.

Mitigations

Acknowledgements

Diego Zaffaroni of Nozomi Networks

Threat Intelligence

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Research Projects

TRITON

TRITON is the first known cyberattack that directly interacted with a Safety Instrumented System (SIS). Labs reverse engineered the TriStation suite of software and delivered a report and two free tools for security researchers. This research was presented at Black Hat USA 2018.

GreyEnergy

The Labs team reverse engineered the GreyEnergy malicious document (maldoc) that leads to the installation of the malware (backdoor) on a victim’s network. Project outcomes include a report, multiple blogs and two free tools for security researchers.

IEC 62351

IEC Working Group 15 (WG15) is developing technology standards for secure-by-design power systems. Labs contributes to the standards and has demonstrated how they can be used to identify hard-to-detect cyberattacks. Research from this effort was presented at Black Hat USA 2019.

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