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Eric Monti & Dan Moniz: Defeating Extrusion Detection

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Manage episode 153226742 series 1085097
Content provided by Black Hat/ CMP Media, Inc. and Jeff Moss. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Black Hat/ CMP Media, Inc. and Jeff Moss or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Todays headlines are rife with high profile information leakage cases affecting major corporations and government institutions. Most of the highest-profile leakage news has about been stolen laptops (VA, CPS), or large-scale external compromises of customer databases (TJX).
On a less covered, but much more commonplace basis, sensitive
financial data, company secrets, and customer information move in and out of networks and on and off of company systems all the time. Where it goes can be hard to pin down.
How can a company prevent (let alone detect) Alice taking a snapshot of the customer database or financial projections and posting them on internet forums or even dumping them to a floppy disk?
This, understandably, has a lot of people worried.
In response, many organizations have begun looking for technologies to detect and prevent sensitive information from leaving their networks, servers, workstations, and even buildings. For some time a product space for ""Extrusion Detection"" products has existed. But now the space is exploding and as tends to happen, security problems abound.
Some ""Extrusion Detections"" products rely on network gateway IPS/IDS approaches, whereas others work in a way more closely resembling host-based IDS/IPS. The main difference is that instead of detecting/preventing malicious information from entering a company's perimeter, they focus on keeping assets *inside*.
We've been evaluating a number of products in this space and have run across a large number of vulnerabilities. They range from improper evidence handling, to inherent design issues, all the way to complete compromise of an enterprise, using the Extrusion Detection framework itself as the vehicle.
  continue reading

89 episodes

Artwork
iconShare
 
Manage episode 153226742 series 1085097
Content provided by Black Hat/ CMP Media, Inc. and Jeff Moss. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Black Hat/ CMP Media, Inc. and Jeff Moss or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Todays headlines are rife with high profile information leakage cases affecting major corporations and government institutions. Most of the highest-profile leakage news has about been stolen laptops (VA, CPS), or large-scale external compromises of customer databases (TJX).
On a less covered, but much more commonplace basis, sensitive
financial data, company secrets, and customer information move in and out of networks and on and off of company systems all the time. Where it goes can be hard to pin down.
How can a company prevent (let alone detect) Alice taking a snapshot of the customer database or financial projections and posting them on internet forums or even dumping them to a floppy disk?
This, understandably, has a lot of people worried.
In response, many organizations have begun looking for technologies to detect and prevent sensitive information from leaving their networks, servers, workstations, and even buildings. For some time a product space for ""Extrusion Detection"" products has existed. But now the space is exploding and as tends to happen, security problems abound.
Some ""Extrusion Detections"" products rely on network gateway IPS/IDS approaches, whereas others work in a way more closely resembling host-based IDS/IPS. The main difference is that instead of detecting/preventing malicious information from entering a company's perimeter, they focus on keeping assets *inside*.
We've been evaluating a number of products in this space and have run across a large number of vulnerabilities. They range from improper evidence handling, to inherent design issues, all the way to complete compromise of an enterprise, using the Extrusion Detection framework itself as the vehicle.
  continue reading

89 episodes

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