CVE-2017-10722
What it is
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.
At a glance
- Exploitability
- Can be exploited locally on the machine with a low-privilege account. High risk of data exposure, data tampering, service disruption.
- Exploit odds
- 0.7% chance of exploitation in the next 30 days (EPSS).
- Fix
- No patch or advisory is linked yet. Look at mitigations or restrict exposure.
Timeline
- PublishedDisclosed publicly on CVE.org and NVD
- Last updatedMost recent change to the record
Why it ranks here
- Exploited in the wild: no, CISA does not list it.
- Exploit odds: 0.7% in the next 30 days (EPSS).
- Severity: 7.8 HIGH (CVSS).
- Fix: none linked yet, which raises it.
Details
- Published
- Last modified
- Exploit probability
- 0.7% · EPSS, next 30 days
- Weakness
- CWE-119 · Buffer errors
- Record status
- Modified
Affected
- Ishekar Endoscope Camera Firmware
Attack profile CVSS 3.0 · 7.8
- Attack vector
- Local
- Complexity
- Low
- Privileges needed
- Low
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Raw vector
CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Is it in your code?
Hand this to your coding agent. It searches your project for the affected products and checks versions. Nothing leaves your machine.
Read https://cve-list.com/agent/cve/CVE-2017-10722.md and follow it. Check whether this project is affected by CVE-2017-10722. Read only. Don't change anything and don't upload my code. Tell me yes, no or not sure, with the file as proof.
References
- http://packetstormsecurity.com/files/153241/Shekar-Endoscope-Weak-Default-Settings-Memory-Corruption.html
- https://github.com/ethanhunnt/IoT_vulnerabilities/blob/master/Shekar_boriscope_sec_issues.pdf
- https://seclists.org/bugtraq/2019/Jun/8
- http://packetstormsecurity.com/files/153241/Shekar-Endoscope-Weak-Default-Settings-Memory-Corruption.html
- https://github.com/ethanhunnt/IoT_vulnerabilities/blob/master/Shekar_boriscope_sec_issues.pdf
- https://seclists.org/bugtraq/2019/Jun/8