'Security researchers are tracking what they say is the “mass exploitation” of a security vulnerability that makes it possible to take full control of servers running ownCloud, a widely used open source file-sharing server app. The vulnerability, which carries the maximum severity rating of 10, makes it possible to obtain passwords and cryptographic keys allowing administrative control of a vulnerable server by sending a simple Web request to a static URL, ownCloud officials warned last week. Within four days of the November 21 disclosure, researchers at security firm Greynoise said, they began observing “mass exploitation” in their honeypot servers, which masqueraded as vulnerable ownCloud servers to track attempts to exploit the vulnerability. The number of IP addresses sending the web requests has slowly risen since then. At the time this post went live on Ars, it had reached 13. “We're seeing hits to the specific endpoint that exposes sensitive information, which would be considered exploitation,” Glenn Thorpe, senior director of security research & detection engineering at Greynoise, said in an interview on Mastodon. “At the moment, we've seen 13 IPs that are hitting our unadvertised sensors, which indicates that they are pretty much spraying it across the internet to see what hits.” CVE-2023-49103 resides in versions 0.2.0 and 0.3.0 of graphapi, an app that runs in some ownCloud deployments, depending on the way they’re configured. A third-party code library used by the app provides a URL that, when accessed, reveals configuration details from the PHP-based environment. In last week’s disclosure, ownCloud officials said that in containerized configurations—such as those using the Docker virtualization tool—the URL can reveal data used to log in to the vulnerable server. The officials went on to warn that simply disabling the app in such cases wasn’t sufficient to lock down a vulnerable server.' -- source: https://arstechnica.com/security/2023/11/owncloud-vulnerability-with-a-maxim... Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, Hamilton, NZ Mobile +64 22 190 2375 https://www.cs.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/