Chengdu VEC40G 3.0 send_order.cgi restart denial of service
CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
5.9 | $0-$5k | 0.05 |
Overview
A vulnerability classified as problematic was found in Chengdu VEC40G 3.0. Affected by this vulnerability is an unknown functionality of the file /send_order.cgi?parameter=restart. The manipulation of the argument restart with the input reboot
leads to denial of service. The CWE definition for the vulnerability is CWE-404. The weakness was shared 06/12/2023 as CNVD-2021-91411. The advisory is shared at github.com.
This vulnerability is known as CVE-2023-3206. The attack can be launched remotely. Technical details are available. Furthermore, there is an exploit available. The exploit has been disclosed to the public and may be used. The price for an exploit might be around USD $0-$5k at the moment. MITRE ATT&CK project uses the attack technique T1499 for this issue.
It is declared as proof-of-concept. It is possible to download the exploit at github.com. We expect the 0-day to have been worth approximately $0-$5k. The vendor was contacted early about this disclosure but did not respond in any way. [Details]
IOB - Indicator of Behavior (243)
Timeline
The data in this chart does not reflect real data. It is dummy data, distorted and not usable in any way. You need an additional purchase to unlock this view to get access to more details of real data.
Activities
IOC - Indicator of Compromise (5)
These indicators of compromise highlight associated network ranges which are known to be part of research and attack activities.
ID | IP range | Actor | Type | Confidence |
---|---|---|---|---|
1 | 34.141.168.0/24 | RedLine Stealer | predictive | High |
2 | XX.XXX.XXX.X/XX | Xxxxxx Xxxxxx | predictive | High |
3 | XX.XX.XXX.X/XX | Xxxxxxxx | predictive | High |
4 | XX.XX.XXX.X/XX | Xxxxxxxx | predictive | High |
5 | XXX.XXX.XXX.X/XX | Xxxxx | predictive | High |
IOA - Indicator of Attack (3)
These indicators of attack list the potential fragments used for technical activities like reconnaissance, exploitation, privilege escalation, and exfiltration. This data is unique as it uses our predictive model for actor profiling.