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Joined 1 year ago
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Cake day: June 23rd, 2023

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  • Wary why? I work remotely in IT and manage a ton of Linux systems with it. Because my company has a large number of remote employees they limit us to Windows or Macs only, and have pretty robust MDM, security, etc. installed on them. Since MacOS is built on top of a unix kernel it’s much more intuitive to manage other unix & linux systems with it.

    Personally I haven’t used Windows really since before Windows 10 came out, and as the family tech support department I managed to switch my wife, parents, brother, and mother in-law all to Mac’s years ago as well.


  • IphtashuFitz@lemmy.worldtoPrivacy@lemmy.mlfixed
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    22 days ago

    I doubt it would help. My employer uses Akamai as a CDN & security provider for our websites. Their bot analysis tools regularly flag distributed bot activity that can come from a handful or a few thousand IPs. They do a range of browser fingerprinting, TLS fingerprinting, etc. to uniquely identify traffic across ranges of IP’s. I’m sure Google/Youtube has the ability to do this as well.

    Any given client would need to regularly randomize the order of headers in requests, randomly include/exclude optional headers, and also randomize TLS negotiation to try to circumvent all the fingerprinting these big corporations perform.




  • My employer had an EV cert for years on our primary domain. The C-suites, etc. thought it was important. Then one of our engineers who focuses on SEO demonstrated how the EV cert slowed down page loads enough that search engines like Google might take notice. Apparently EV certs trigger an additional lookup by the browser to confirm the extended validity.

    Once the powers-that-be understood that the EV cert wasn’t offering any additional usefulness, and might be impacting our SEO performance (however small) they had us get rid of it and use a good old OV cert instead.


  • Back in the 90’s before the days of Windows 3.0 I had to debug a memory manager written by a brilliant but somewhat odd guy. Among other thing I stumbled across:

    • A temporary variable called “handy” because it was useful in a number of situations.
    • Another one called son_of_handy, used in conjunction with handy.
    • Blocks of memory were referred to as cookies.
    • Cookies had a flag called shit_cookie_corrupt that would get set if the block of memory was suspected of being corrupt.
    • Each time a cookie was found to be corrupt then the function OhShit() was called.
    • If too many cookies were corrupt then the function OhShitOhShitOhShit() was called, which would terminate everything.


  • Port 22 is the default SSH port and it receives a TON of malicious traffic any time it’s open to the whole internet. 20 years ago I saw a newly installed server with a weak root password get infected by an IP address in China less than an hour after being connected to the open internet.

    With all the bots out there these days it would probably take a lot less time if we ran the same experiment again.


  • Well OPSEC is the stated cause. Who knows how the person was initially identified and tracked. For all we know he was quickly identified through some sort of Tor backdoor that the feds have figured out, but they used that to watch for an unrelated OPSEC mistake they could take advantage of. That way the Tor backdoor remains protected.


  • IphtashuFitz@lemmy.worldtoPrivacy@lemmy.mlIs TOR compromised?
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    2 months ago

    Exactly. Tor was originally created so that people in repressive countries could access otherwise blocked content in a way it couldn’t be easily traced back to them.

    It wasn’t designed to protect the illegal activities of people in first world countries that have teams of computer forensics experts at dozens of law enforcement agencies that have demonstrated experience in tracking down users of services like Tor, bitcoin, etc.



  • Oh there are definitely ways to circumvent many bot protections if you really want to work at it. Like a lot of web protection tools/systems, it’s largely about frustrating the attacker to the point that they give up and move on.

    Having said that, I know Akamai can detect at least some instances where browsers are controlled as you suggested. My employer (which is an Akamai customer and why I know a bit about all this) uses tools from a company called Saucelabs for some automated testing. My understanding is that our QA teams can create tests that launch Chrome (or other browsers) and script their behavior to log into our website, navigate around, test different functionality, etc. I know that Akamai can recognize this traffic as potentially malicious because we have to configure the Akamai WAF to explicitly allow this traffic to our sites. I believe Akamai classifies this traffic as a “headless” Chrome impersonator bot.


  • When any browser, app, etc. makes an HTTP request, the request consists of a series of lines (headers) that define the details of the request, and what is expected in the response. For example:

    
    GET /home.html HTTP/1.1
    Host: developer.mozilla.org
    User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:50.0) Gecko/20100101 Firefox/50.0
    Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8
    Accept-Language: en-US,en;q=0.5
    Accept-Encoding: gzip, deflate, br
    Referer: https://developer.mozilla.org/testpage.html
    Connection: keep-alive
    Upgrade-Insecure-Requests: 1
    Cache-Control: max-age=0
    
    

    The thing is, many of these headers are optional, and there’s no requirement regarding their order. As a result, virtually every web browser, every programming framework, etc. sends different headers and/or orders them differently. So by looking at what headers are included in a request, the order of the headers, and in some cases the values of some headers, it’s possible to tell if a person is using Firefox or Chrome, even if you use a plug-in to spoof your User-Agent to look like you’re using Safari.

    Then there’s what is known as TLS fingerprinting, which can also be used to help identify a browser/app/programming language. Since so many sites use/require HTTPS these days it provides another way to collect details of an end user. Before the HTTP request is sent, the client & server have to negotiate the encryption to use. Similar to the HTTP headers, there are a number of optional encryption protocols & ciphers that can be used. Once again, different browsers, etc. will offer different ciphers & in different orders. The TLS fingerprint for Googlebot is likely very different than the one for Firefox, or for the Java HTTP library or the Python requests package, etc.

    On top of all this Akamai uses other knowledge & tricks to determine bots vs. humans, not all of which is public knowledge. One thing they know, for example, is the set of IP addresses that Google’s bots operate out of. (Google likely publishes it somewhere) So if they see a User-Agent identifying itself as Googlebot they know it’s fake if it didn’t come from one of Google’s IP’s. Akamai also occasionally injects JavaScript, cookies, etc. into a request to see how the client responds. Lots of bots don’t process JavaScript, or only support a subset of it. Some bots also ignore cookies, and others even modify cookies to try to trick servers.

    It’s through a combination of all the above plus other sorts of analysis that Akamai doesn’t publicize that they can identify bot vs human traffic pretty reliably.



  • IphtashuFitz@lemmy.worldtoPrivacy@lemmy.mlMassive United States Data Breach
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    3 months ago

    Not easily. The scammer likely has your current address & contact info, but knows nothing about your history.

    To confirm your identity when you contact these reporting agencies they will use details from your credit history by asking detailed questions the scammer likely won’t know. For example it might be questions like these:

    • What kind of car did you purchase in 2005?
    1. Honda
    2. Ford
    3. Saab
    4. Jeep
    5. None of the above
    • Which one of these companies did you work for previously?
    1. IBM
    2. Pizza Hut
    3. Macy’s
    4. Jiffy Lube
    5. None of the above

    They’ll throw 3 or 4 questions like these at you that you’ll have to answer correctly. They might involve places you used to live, banks you have had accounts with, etc. The chances of a scammer with your SSN knowing all these details about you is pretty tiny.


  • The credit monitoring companies have your up-to-date contact information (and verified) when you put the freeze in place. Now, should a third party try to open an account, etc. in your name it should be blocked from happening and the credit monitoring company should contact you.

    If a scammer tries to unfreeze or otherwise modify your account with them they should also contact you.

    If/when they contact you or you request your account be unfrozen then they’ll use old credit history to confirm your identity. These are a series of three or four random questions that a scammer is unlikely to know. For example they might ask you what kind of car you purchased in 2005, then give you 4 options, like Ford, Honda, Jaguar, or BMW, and then also a “nine of the above” option. Then they might ask you which of the following street addresses you used to live at, and list 4 seemingly random addresses, one of which you might have lived at.




  • I don’t understand why Cloudflare gets bashed so much over this… EVERY CDN out there does exactly the same thing. It’s how CDN’s work. Whether it’s Akamai, AWS, Google Cloud CDN, Fastly, Microsoft Azure CDN, or some other provider, they all do the same thing. In order to operate properly they need access to unencrypted content so that they can determine how to cache it properly and serve it from those caches instead of always going back to your origin server.

    My employer uses both Akamai and AWS, and we’re well aware of this fact and what it means.