posted Aug 27th 2009 1:00pm by
Phil Burgess
filed under:
laser hacks,
video hacks

Among the courses at this year’s SIGGRAPH (an annual technical conference and showcase of the latest in computer graphics research) was an introduction to 3D scanning that covers all the bases: mathematical foundations, two different build-your-own hardware approaches, and how to process and render the resulting datasets. The presenters have assembled all the course materials on a top-notch web site featuring slide shows, complete source code, and an extensive round-up with links to both commercial and homebrew 3D scanning gear. The simplest of these methods requires nothing more than a webcam, halogen light source, and a stick!
SIGGRAPH and 3D scanning have been highlighted many times on Hack a Day, but we’re swelling with pride now seeing an academic venue give a favorable nod to the DIY hacking community (on their links page). Okay, so Hack a Day isn’t called out by name, but just wait’ll next year!
[Thanks Fahrzin]
posted Oct 13th 2008 3:57pm by
Eliot Phillips
filed under:
downloads hacks,
security hacks

Midnight Research Labs has just published a new tool. Depant will scan your network and check to see if services are using default passwords. It starts by performing an Nmap scan to discover available services on the network. It organizes these services by speed of response. Using Hydra it does brute force password checking of these services with a default password list. The user can supply an alternate list for the first phase or an additional list to be used in a followup check. Depant has many different options for configuring your scan and will certainly help you find that rogue piece of hardware on your network that someone failed to set up securely.
posted Jul 25th 2008 4:30pm by
Caleb Kraft
filed under:
news,
security hacks

The DShield project is hoping to change how we protect our networks from malware with predictive blacklisting. Using a method similar to Google’s PageRank, DShield collects logs from network administrators to help develop a score based on maliciousness. They combine this score with information about where the malware has already hit to determine an overall threat level.
Similar to antivirus programs, the system still relies on networks being attacked to rate the threat level. They have shown though, that the predictive method is consistently more effective than manual blacklisting. The system has been available for free for the past year. Those utilizing the system have been reporting positive results. They do note that there are a few people whose network infrastructure doesn’t match up with the predictions very well. If you would like to participate, go to their site and sign up.