ISC StormCast for Thursday, January 18th, 2024
SANS Internet Stormcenter Daily Cyber Security Podcast (Stormcast)
SANS ISC Handlers
4.9 • 754 Ratings
🗓️ 18 January 2024
⏱️ 7 minutes
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Transcript
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| 0:00.0 | Hello, welcome to the Thursday, January 18th, 2020, |
| 0:04.6 | for edition of the Sands and its Storms Centers, Stormcast. |
| 0:08.6 | My name is Johannes Ulrich, and today I'm recording from Jacksonville, Florida. |
| 0:14.7 | One assumption when running a honeypot is that any vulnerabilities being exploited by an attacker |
| 0:20.8 | are likely also vulnerabilities |
| 0:23.5 | that are frequently seen on system because an attacker wouldn't really waste their resources |
| 0:29.4 | exploiting hardly seen vulnerabilities. Well, the same is probably also true for passwords. |
| 0:36.2 | With our Telnet and SSH logs. We are collecting |
| 0:40.5 | passwords that attackers are attempting against our honeypots. And Jesse took a look at, well, |
| 0:48.3 | how numbers are being used in these passwords. Numbers are often used as part of passport requirements to achieve a certain |
| 0:56.4 | complexity. Attackers, of course, know that users are gravitating to certain numbers, like |
| 1:03.3 | password 1. Well, some interesting findings here from Jesse. First of all, the number one is by far the most common use number, |
| 1:14.7 | followed by two and three. No big surprise here. What I also like is that when Jesse looked for |
| 1:22.2 | groups of four numbers, that year numbers like 2022, 2021, 2021, 23 are right there in the top. Of course, |
| 1:33.3 | the overall top is one, two, three, four. So hackers know how our users are likely going to |
| 1:39.8 | react to password complexity and also password rotation requirements. And that in part is reflected in the passwords that they're attempting. |
| 1:49.4 | Probably the lesson that has been pushed in recent years to focus on length and not just simple complexity and not to require passport rotation is a sound advice given this data from our honeypots. |
| 2:06.4 | Kerserski has an interesting blog post about how to detect malware on iOS. |
| 2:12.3 | Detecting malware on iOS can be tricky because, well, a lot of the internal database and such are not necessarily |
| 2:20.3 | that well documented. It can be quite tricky to extract all the data. Well, what they found was |
| 2:28.3 | that one of the simplest way to get a pretty good idea if a system is compromised is the shutdown log. The shutdown log |
| 2:38.9 | is created whenever the system is the iPhone or iOS device is being rebooted or shut down. And |
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