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CVE-2017-10723

8.8 · HIGH

Recently it was discovered as a part of the research on IoT devices in the most recent firmware for Shekar Endoscope that an attacker connected to the device Wi-Fi SSID can exploit a memory corrupt…

Published Jun 17, 2019CWE-119EPSS 2.52%

Overview

CVE-2017-10723 is a high-severity vulnerability. It was published on June 17, 2019 and has a CVSS 3.0 base score of 8.8 (HIGH).

This vulnerability has a CVSS 3.0 base score of 8.8, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

Recently it was discovered as a part of the research on IoT devices in the most recent firmware for Shekar Endoscope that an attacker connected to the device Wi-Fi SSID can exploit a memory corruption issue and execute remote code on the device. This device acts as an Endoscope camera that allows its users to use it in various industrial systems and settings, car garages, and also in some cases in the medical clinics to get access to areas that are difficult for a human being to reach. Any breach of this system can allow an attacker to get access to video feed and pictures viewed by that user and might allow them to get a foot hold in air gapped networks especially in case of nation critical infrastructure/industries. The firmware contains binary uvc_stream that is the UDP daemon which is responsible for handling all the UDP requests that the device receives. The client application sends a UDP request to change the Wi-Fi name which contains the following format: "SETCMD0001+0001+[2 byt

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

References

Refpacketstormsecurity.com/files/153241/Shekar-Endoscope-Weak-Default-Settings-Memory-Corruption.htmlGitHubgithub.com/ethanhunnt/IoT_vulnerabilities/blob/master/Shekar_boriscope_sec_issues.pdfRefseclists.org/bugtraq/2019/Jun/8Refpacketstormsecurity.com/files/153241/Shekar-Endoscope-Weak-Default-Settings-Memory-Corruption.htmlGitHubgithub.com/ethanhunnt/IoT_vulnerabilities/blob/master/Shekar_boriscope_sec_issues.pdfRefseclists.org/bugtraq/2019/Jun/8

How CyberStrike helps

Frequently asked questions

What is CVE-2017-10723?

CVE-2017-10723 is a high-severity vulnerability. It was published on June 17, 2019 and has a CVSS 3.0 base score of 8.8 (HIGH).

How severe is CVE-2017-10723?

This vulnerability has a CVSS 3.0 base score of 8.8, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2017-10723?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2017-10723?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2017-10723 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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