ISC StormCast for Friday, February 12th, 2021
SANS Internet Stormcenter Daily Cyber Security Podcast (Stormcast)
SANS ISC Handlers
4.9 • 754 Ratings
🗓️ 12 February 2021
⏱️ 6 minutes
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| 0:00.0 | Hello, welcome to the Friday, February 12, 2021 edition of the Sandstone Storm Center's Stormcast. My name is Johannes Ulrich. And I'm recording from Jacksonville, Florida. |
| 0:15.2 | Jan came across an interesting ancient Tesla sample. Now, at first, it looked like, well, just any ancient Tesla sample. It arrived as |
| 0:24.6 | one of those fake DHS shipping notices. In itself, this was not done very well. It used a from address |
| 0:34.0 | that claimed to be from DHL.com. Now, with dhl.com using SPF, these emails most likely ended up in your spam folder. |
| 0:45.6 | The attachment was an ISO file, which again is not really all that unusual, but the content |
| 0:52.1 | of the ISO file then turned out to be somewhat odd as Jan dove deeper into it. |
| 0:59.3 | In addition to just bloating the content of the sample by attaching Bitmap image files, |
| 1:07.1 | the sample also included a code, a couple of DLs and such, from valid and high malware. |
| 1:15.8 | Jan identified the source of the code as a piece of software called Virus Effect Remover. |
| 1:22.3 | No longer being sold and it's about 10 plus years old, but that's the code that they appended to this particular |
| 1:31.7 | malicious sample. At this point, we can only really guess why they did it. So first of all, |
| 1:38.0 | attackers do sometimes like to float their malware samples, make them larger in order to evade inspection. |
| 1:46.0 | A lot of antivirus tools will not inspect files above a certain size. |
| 1:51.0 | And that's why you, for example, in this case as well, see images being included with the malver. |
| 1:58.0 | The other reason, and that may be a little bit more sinister, but also not very |
| 2:03.6 | likely given the overall sophistication or lack of sophistication for this sample, it may be an attack |
| 2:10.6 | trying to bypass or evade some machine learning algorithms. There have been some interesting |
| 2:17.1 | papers recently that described how machine learning algorithms. There have been some interesting papers recently that described how machine learning algorithms |
| 2:21.3 | are anti-malver based on machine learning can be fooled into believing that Malver is actually |
| 2:27.8 | benign by including a sample of common benign software. |
| 2:34.6 | In a particular paper, for example, they used notepad.exe. |
| 2:39.1 | Maybe this is sort of a little attempt to do something like this. |
... |
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