Good luck with that, I suppose. Botnets can have thousands, if not hundreds of thousands of infected hosts that will endlessly scan everything on the interwebs. Many of those infected hosts are behind NAT’s and your abuse form would be the equivalent of reporting an entire region for a single scan.
But hey! Change the world, amirite?
That comment is pure gold and I am archiving it for future use.
I don’t want to go so far as to tell you how to think, but as long as we are talking about how to visualize IP addresses, you may want to check out subnets and subnet masking.
The notation of IP addresses starts to make sense when you think about the early days of TCP/IP when all IP addresses were public and NAT’ing wasn’t really required yet. Basically, there needed to be ways for networks to filter traffic by IP blocks that were applicable. (It was [in part] a precursor to collision avoidance, but absolutely not the full story.) We still use addressing and masking today, but it’s more obvious when it’s local. (Like in data centers, where it’s super practical to mask off a block of addresses for a row or rack of servers.)
To your point, yeah. IP addresses are probably more comparable to the Dewey Decimal System rather than actual numbers and thinking of them as strings is probably easier.
255
Small correction, but an important one: 0 is a number too.
In terms of IP masking and broadcast addresses, the max is 255.255.255.255
For those who are still confused, ping works with 32 bit unsigned integers. While there certainly are more uses, it’s a much more convenient method for storing IP address in a database as it’s easier to sort and index than 4 numbers separated by 4 periods
http://www.aboutmyip.com/AboutMyXApp/IP2Integer.jsp?ipAddress=1.1.1.1
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I looked into that and the only question I really have is how geographically distributed the samples were. Other than that, It was an oversampled study, so <50% of the people were the control, of sorts. I don’t fully understand how the sampling worked, but there is a substantial chart at the bottom of the study that shows the full distribution of responses. Even with under 1000 people, it seems legit.
There is a place for that. It’s called 4chan.
In this study, we conducted a survey (n = 742) including a representative U.S. sample and an oversample of gender minorities, racial minorities, and disabled individuals to examine how demographic factors shape AI attitudes.
I have been using 6ghz for about a year or so now and I found it to be quite fast. MLO can be super weird sometimes and seems to get confused, but it works. (It’s probably just a driver I haven’t updated.)
Effort vs Reward vs Ability vs Inital investment
In most cases, think of this kind of thing like a legitimate business. Same concepts. I’ll grade a few scenarios based on what I have seen over the last 20 or so years. (The ratings are arbitrary and just trying to explain my point.)
Do you have the means to rent a botnet and phish a few million people for lots of credit card numbers? Can you manage that kind of data, test all those numbers and maybe end up just selling that data? Low Risk/Moderate Reward (“Selling shovels” analogy is probably a better scheme than actually renting the botnet, IMHO)
Could you setup a “call center” in India and run a scam ring like an 8-5 business? Are there enough people you can hire to do this work? That requires training, infrastructure and time. You also may need to “work with” law enforcement to ensure your scam isn’t busted by legitimate cops. Moderate Risk/Moderate Reward.
Are you part of a small group with an insane amount of skill that has the time to pull off an extortion scheme against a Fortune 500 company for a few million bucks? High risk/High reward
Those are all normal scenarios above and it’s based on profitability and initial investment. Risk/Reward is always a balance.
(Sorry. I pulled a “wHellll aKshUallY” when you said it’s not worth the time for the small targets.)
There seems to hundreds of studies on that and there seems to be a fairly uniform “Yes” and “More than you would guess”, etc.
Here is one: https://journals.sagepub.com/doi/10.3233/ADR-220062
B is for Buy n Large (and billionaire) your very best friend.
Thats one way to put it, sure.
You are not going to get anywhere near what ATMOS was designed to do from a sound stick and it is pointless as fuck to advertise it as 11.1.4 wItH rEaR sPeAkeRs.
You need a room designed around these multi-channel systems to even get a fraction of their benefits.
ATMOS advertised as magic in anything less than commercial grade systems is a scam.
This has been a thing for years now. While I am sure it might annoy some pirates, it’s likely aimed at easily executed malware.
I deal with spam filtering on a daily basis and about 90% of it originates from Gmail. Most of that is just fishing/fraud. It would really suck if my users could easily detonate malware attachments, so this Gmail policy is a good thing for me.
I think you nailed it. For me personally, if I move to PieFed, it’s not because I want to “hurt” the devs, it’s because I really don’t want to be part of what they stand for.
Alumina (aluminum oxide) is what you are extracting from aluminum ore and it’s tough as fuck, which is why it’s easier to dissolve the rest of the stuff around it first.
Oxygen is mainly that other “junk” you have to separate with electricity. While the smelters only run at 4.5 volts (per cell), they have to push about 300kA to get the stuff up to ~950°C which breaks its chemical bond.
You probably have never even touched pure aluminum before. Aluminum and oxygen react so quick, all we typically ever see and touch is a alumina shell.
My general attitude is similar to yours. Let OP figure out that the reporting and blocking is basically just creating more noise that has to gets filtered out and bot supply is basically infinite.
“It’s a learning experience.”