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GHSA-x4hh-vjm7-g2jv
No affected components available
Summary
Faktory web dashboard can suffer from denial of service by a crafted malicious url query param days.
Details
The vulnerability is related to how the backend reads the days URL query parameter in the Faktory web dashboard. The value is used directly without any checks to create a string slice. If a very large value is provided, the backend server ends up using a significant amount of memory and causing it to crash.
PoC
To reproduce this vulnerability, please follow these steps:
Start the Faktory Docker and limit memory usage to 512 megabytes for better demonstration:
$ docker run --rm -it -m 512m \
-p 127.0.0.1:7419:7419 \
-p 127.0.0.1:7420:7420 \
contribsys/faktory:latest
Send the following request. The Faktory server will exit after a few seconds due to out of memory:
$ curl 'http://localhost:7420/?days=922337'
Impact
Server Availability: The vulnerability can crash the Faktory server, affecting its availability. Denial of Service Risk: Given that the Faktory web dashboard does not require authorization, any entity with internet access to the dashboard could potentially exploit this vulnerability. This unchecked access opens up the potential for a Denial of Service (DoS) attack, which could disrupt service availability without any conditional barriers to the attacker.
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the availability of the system.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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