Vigo Phone Numbers – 34 Spanish Phone Numbers
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Vigo Phone Numbers
Hotmail Steam If you look at the list above, we can conclude that, for example, if you have an eBay and a LastPass account, an attacker can know seven out of ten digits of your phone number. Just by knowing your email address. In other words, an attacker can use your email address to reduce the possibilities of guessing your phone number from one billion possibilities to one thousand.
Discovering the remaining numbers We have seven out of ten digits which means we are only missing three. At this point, it is important to focus on which numbers we know. A US phone number is composed of 3 fields: There is also the country code but we are focusing on US numbers for now.
It is important to highlight that we are not simply missing 3 digits, we are missing the 3 digits corresponding to the exchange. This is an important distinction as it will help us narrow down the possibilities even further. My main goal was to understand if I could reliably reduce the remaining thousand possible phone numbers by detecting exchange numbers not assigned to a specific area code.
The numbering plan for the public switched telephone network for Canada, the US and its territories, and some Caribbean countries. This website is a goldmine! I learned so much about how the telephone systems work just from this source.
Most importantly, I found exactly what I was looking for. NANPA maintains an updated list of area codes and the corresponding exchanges that is publicly accessible. It is updated frequently and you can query the data or download a parseable file with all the information.
Exchanges in San Francisco How useful is this? If I am only missing the three digits corresponding to the exchange, I have a thousand possible numbers for my target. By using NANPA dataset, I reduced it to possible numbers because there are exchange number not assigned to area code.
But how good does it get? I played with different area codes and, for example, the Alaska area code has only exchanges assigned. We got rid of over half the possible phone numbers. What if the target only has a Paypal account? We know five out of ten digits. But again, which ones? We have the first digit of the area code and the last four random digits.
There are only two area codes in California that start with 2, and Other two that start with 3, two that start with 4, etc. By knowing the first digit of the area code, you can still infer the first three digits of the phone number fairly easy. National Pooling Administration But how about if the target only has an eBay account? We have the area code and the last two digits of the subscriber number. Are there any public records that can help us discard invalid phone numbers based on the subscriber number?
Thanks to the national pooling administration. Number pooling is a way to assign smaller blocks of numbers in the thousands to growth areas. Historically, a phone number is a way of rooting a call to a person in a physical location. Take XXXX. The first 3 digits narrow it down to a wider area like San Francisco, the exchange is specific to Sausalito and the missing 4 digits specify the actual person subscriber in that limited area.
As of , Sausalito has residents. With this way of assigning numbers, many are going to waste and will not be used. The irruption of cable modems and VOIP services which made it easier to become a carrier worsened the problem.
The FCC decided that numbers should be assigned in smaller blocks in growth areas. Specifically in blocks of thousand numbers rather than ten thousand. The national pooling administration is responsible for managing it and has public records of the assigned blocks , including the subscriber digit.
We can use this data to further discard invalid numbers. For example, taking our Sausalito number XXXX which is missing the last 4 digits, we can use the public records to discard phone numbers like XXX and focus just on numbers which subscriber starts with 9. In other words, we have reduced the possible valid phone numbers from 10 thousand to one thousand.
You initiate the password reset process and harvest seven out of ten digits of his phone number. Now, you can use NANPA to get rid of and reduce the list to possible numbers assigned to that email address. Then you use the National Pooling Administration to check if the block number yo have is assigned to the different possible exchanges reducing the possible valid phone numbers to What now? It is still a fair amount of phone numbers. I would claim that reducing one billion possible phone numbers down to only knowing an email is pretty significant.
The remainder could even be tested manually. But the goal is to reduce the possibilities as much as possible before attempting any manual verification.
There is a number of ways you could take the remaining phone numbers and see if they are somehow linked to the email address. Using search engines with well defined search flags to try find clues in case the target left his phone number in a forum, website, etc.
You could even use telephone system online services that allow you to reverse search the owner of a phone by its number. Basically, a phonebook in reverse. So, I started to think of new ways I could reliably obtain the phone number assigned to an email address.
I reflected on the steps I took to get this far. I was abusing the password reset function of online services to collect a few phone number digits assigned to an email… Hmmm..
I reset the password putting an email… and I get a few digits back. Can I… reset the password by entering a phone number and get a few email characters back?
Amazon password reset using phone number Eureka! Turns out, there are popular services, like Amazon and Twitter, that allow you to reset the password by entering a phone number and get an email to complete the process. Most importantly, it will display a few characters of the email address it will send the link to. Twitter shows you the first two characters of the username and the first one of the domain. You also will know the length by counting the asterisks.
The attack vector looks like this: Reduce the possible phone number list by discarding non-existing area codes, exchanges and subscriber numbers using NANPA and the National Pooling Administration publicly available data 3. Just by abusing password reset options and bruteforcing efficiently using publicly available information. Automation The attack vector above can be done manually. You can use services like namechk to pinpoint where to go harvest digits.
It also supports the use of proxy servers. What we are doing is starting the password reset for different phone numbers. This means that the services cannot detect you based on a specific phone number you are hammering on.
There are multiple other services that allow password reset using phone numbers that can be used for the same purpose. The tool supports Amazon and Twitter for bruteforcing. The idea is to get support from the community through pull requests to support additional ones. You can find the tool in my github repo. Demo phonerator email2phonenumber is a great tool but much of what it does can be done with tools like Burp or wfuzz. Therefore, I am working on a new online service that would allow you ti generate lists of possible phone numbers.
It will have multi-country support, it will give you much more information and details, it will have historical records and most importantly, advanced filters. You may have intel that the person is from California, phonerator will take into account only those area codes. I am still working on the tool and collecting all data. I am from Spain myself and Spanish mobile phone numbers have interesting properties as well.
For starters, all mobile phone numbers start with the digit 6 and recently 7. Also, phone numbers are only 9 digits long. Why is that important? Well, I know one digit from the beginning and services like eBay or LastPass do not adjust their mask to leak less digits for shorter phone numbers. Therefore, if my target is from Spain, just with LastPass I know 5 out of the 9 digits.
My next step was to look for countries that had very short numbers. Take Iceland, Estonia or San Salvador with 7 digit phone numbers. All eBay customers from these countries have 5 out of 7 digits exposed to anyone that knows their email address. Just by knowing their email address… First 3 and last 2 with Ebay Last 4 with LastPass By understanding the properties of a country phone number system and taking advantage of websites that do not adjust their masking to leak less digits on shorter numbers, it is possible to harvest all digits of the phone number.
So what? I showed you how to go from an email address to a phone number. Is that really so bad? SIM swapping.
Drug Task Force
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From email to phone number, a new OSINT approach
Hotmail Steam If you look at the list above, we can conclude that, for example, if you have an eBay and a LastPass account, an attacker can know seven out of ten digits of your phone number. Just by knowing your email address. In other words, an attacker can use your email address to reduce the possibilities of guessing your phone number from one billion possibilities to one thousand. Discovering the remaining numbers We have seven out of ten digits which means we are only missing three. At this point, it is important to focus on which numbers we know.
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