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CVE-2017-10720

7.8 · HIGH

Recently it was discovered as a part of the research on IoT devices in the most recent firmware for Shekar Endoscope that the desktop application used to connect to the device suffers from a stack…

Published Jun 17, 2019CWE-119EPSS 0.73%

Overview

CVE-2017-10720 is a high-severity vulnerability. It was published on June 17, 2019 and has a CVSS 3.0 base score of 7.8 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. 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 the desktop application used to connect to the device suffers from a stack overflow if more than 26 characters are passed to it as the Wi-Fi name. This application is installed on the device and an attacker who can provide the right payload can execute code on the user's system directly. Any breach of this system can allow an attacker to get access to all the data that the user has access too. The application uses a dynamic link library(DLL) called "avilib.dll" which is used by the application to send binary packets to the device that allow to control the device. One such action that the DLL provides is change password in the function "sendchangename" which allows a user to change the Wi-Fi name on the device. This function calls a sub function "sub_75876EA0" at address 0x758784F8. The function determines which action to execute based on the parameters sent to it. T

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-2017-10720?

CVE-2017-10720 is a high-severity vulnerability. It was published on June 17, 2019 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2017-10720?

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2017-10720?

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-2017-10720?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2017-10720 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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