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CVE-2017-10722: Recently it was discovered as a part of the research on IoT devices in the most recent firmware for Shekar...

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 password. 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 "sendchangepass" which allows a user to change the Wi-Fi password on the device. This function calls a sub function "sub_75876EA0" at address 0x7587857C. The function determines which action to execute based on the parameters sent to it. The "sendchangepass" passes the datastring as the second argument which is the password we enter in the textbox and integer 2 as first argument. The rest of the 3 arguments are set to 0. The function "sub_75876EA0" at address 0x75876F19 uses the first argument received and to determine which block to jump to. Since the argument passed is 2, it jumps to 0x7587718C and proceeds from there to address 0x758771C2 which calculates the length of the data string passed as the first parameter.This length and the first argument are then passed to the address 0x7587726F which calls a memmove function which uses a stack address as the destination where the password typed by us is passed as the source and length calculated above is passed as the number of bytes to copy which leads to a stack overflow.

UnknownCVSS not scoredNot KEV-listedUpdated
Glexia's TakeAutomated analysis

Security readout for executives and security teams

CVE-2017-10722 is a memory corruption flaw in the desktop application used with a Shekar Endoscope device. A long Wi-Fi password can overflow memory and may let an attacker run code on the user's system, potentially reaching data accessible to that user. Exposure appears limited to environments using the Shekar Endoscope or related boriscope software. The public record does not identify exact versions, CPEs, operating systems, or whether all distributed application builds are affected. Treat this as a targeted exposure requiring asset confirmation, not a broad internet-scale emergency. Prioritize organizations using this device because successful compromise could execute code on a user workstation and expose data available to that account. Mitigation focus: Check vendor or distributor guidance for an updated desktop application or firmware.; Remove the application from systems that do not require device management.; Use a dedicated, isolated workstation for device configuration where possible..

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Vulnerability profileCVE Program record
Severity
Unknown
CVSS
Not scored
Known Exploited
No
Published
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CNA and ADP enrichment extracted from CVE v5

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