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Deep Web
Is it illegal to browse deep web sites ?

I'm curious about the deep web, and I want to check if these black market sites are real. I'm not going to be purchasing anything (why I'm posting this on reddit with no VPN, I don't mind my ISP tracking me because im not going to be doing anything like that) or viewing demented stuff (you can guess). but seeing all the posts and stories about sites like the Silk Road and such, is it illegal to simply view these sites? I feel like it's not but I wanna check to make sure

submitted by /u/Connor30302
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This tool lets you find the account id an S3 bucket belongs too. For this to work you need to have at least one of these permissions: Permission to download a known file from the bucket (s3:getObject). Permission to list the contents of the bucket (s3:ListBucket). Additionally, you will need a role that you can assume with (one of) these permissions on the bucket you're examining Some more background can be found on the Cloudar Blog (https://www.cloudar.be/awsblog/finding-the-accountid-of-any-public-s3-bucket/)
Installation
This package is available on pypi, you can for example use on of these commands (pipx is recommended) pipx install s3-account-search
pip install s3-account-search
Usage Examples
# with a bucket
s3-account-search arn:aws:iam::123456789012:role/s3_read s3://my-bucket

# with an object
s3-account-search arn:aws:iam::123456789012:role/s3_read s3://my-bucket/path/to/object.ext

# You can also leave out the s3://
s3-account-search arn:aws:iam::123456789012:role/s3_read my-bucket

# Or start from a specified source profile
s3-account-search --profile source_profile arn:aws:iam::123456789012:role/s3_read s3://my-bucket
How this works
There is an IAM policy condition s3:ResourceAccount, that is meant to be used to give access (https://www.kitploit.com/search/label/Access) to S3 in specified (set of) account(s), but also supports wildcards. By constructing the right patterns, and seeing which ones will lead to a Deny or an Allow, we can determine the account id by discovering it one digit at a time. We verify that we can access the object or bucket with the provided role We assume the same role again, but this time add a policy that restricts our access to S3 buckets that exist (https://www.kitploit.com/search/label/EXIST) in an account starting with 0. If our access is allowed we know that the account id has to start with 0. If the request is denied, we try again with 1 as the first digit. We keep incrementing until our request is allowed, and we find the first digit We repeat this process for every digit. Using the already discovered digits as a prefix. E.g. if the first digit was 8, we test account ids starting with 80, 81, 82, etc.
Development
We use poetry to manage this project Clone this repository Run poetry install Activate the virtualenvironment with poetry shell (you can also use poetry run $command)
Releasing a new version to pypi
Edit pyproject.toml to update the version number Commit the version number bump Run poetry publish --build Push to GitHub Create a new release in GitHub
Possible improvements
Instead of checking one digit at a time, we could use a binary (https://www.kitploit.com/search/label/Binary) search-like algorithm. Eg. the following condition is equivalent to s3:ResourceAccount < 500000000000 "Condition": {
"StringLike": {"s3:ResourceAccount": [
"0*", "1*", "2*", "3*", "4*",
]},
}, Similarly, there is a speed improvement possible by checking multiple digits per position in parallel (There is a small risk of being rate limited by STS when using this approach) In practice this tool should be fast enough in most cases.

Download S3-Account-Search (https://github.com/WeAreCloudar/s3-account-search)
hacking: security in practice
Can I use inbuilt wireless adapter for monitor mode and/or packet injection?

My laptop has a wireless adapter Qualcomm Atheros QCA61x4A that supports both 2.4 GHz and 5 GHz bands. I found out that it can't be used for Kali on virtualbox. I wanted to know if it can be used for packet injection and/or monitor mode before I actually install bare metal Kali. Thanks.

submitted by /u/jagadambachowdary
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hacking: security in practice
How does a dictionary hack work when passwords are validated wholesale?

Let's say I have a password like

TextboxBoldLinkItalic24Protection

Five words, each recognizable on its own. Is this hackable, since the individual words in the password aren't validated one at a time. Seems to me that since passwords are validated all at once, this would be as effective as a random string of characters the same length.

Am I missing something?

submitted by /u/mapsedge
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hacking: security in practice
Hashcat vs hashes.com to decrypt MD5 and SHA1

I was curious about what you guys have had more success with in the past to break hashed passwords from a leak Db. Hashcat would probably be the right choice, but I'm wondering exactly how effective it would be compared to simple online tools like hashes.com which I've seen some half decent results with. Just curious, thanks!

submitted by /u/TheThomasKinley
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S3-Account-Search - S3 Account Search

This tool lets you find the account id an S3 bucket belongs too. For this to work you need to have at least one of these permissions: Permission to download a known file from the bucket (s3:getObject). Permission to list the contents of the bucket (s3:ListBucket). Additionally, you will need a role that you can assume with (one of) these permissions on the bucket you're examining Some more background can be found on the Cloudar BlogInstallation This package is available on pypi, you can for example use on of these commands (pipx is recommended) pipx install s3-account-searchpip install s3-account-search Usage Examples # with a buckets3-account-search arn:aws:iam::123456789012:role/s3_read s3://my-bucket# with an objects3-account-search arn:aws:iam::123456789012:role/s3_read s3://my-bucket/path/to/object.ext# You can also leave out the s3://s3-account-search arn:aws:iam::123456789012:role/s3_read my-bucket# Or start from a specified source profiles3-account-search --profile source_profile arn:aws:iam::123456789012:role/s3_read s3://my-bucket How this works There is an IAM policy condition s3:ResourceAccount, that is meant to be used to give access to S3 in specified (set of) account(s), but also supports wildcards. By constructing the right patterns, and seeing which ones will lead to a Deny or an Allow, we can determine the account id by discovering it one digit at a time. We verify that we can access the object or bucket with the provided role We assume the same role again, but this time add a policy that restricts our access to S3 buckets that exist in an account starting with 0. If our access is allowed we know that the account id has to start with 0. If the request is denied, we try again with 1 as the first digit. We keep incrementing until our request is allowed, and we find the first digit We repeat this process for every digit. Using the already discovered digits as a prefix. E.g. if the first digit was 8, we test account ids starting with 80, 81, 82, etc. Development We use poetry to manage this project Clone this repository Run poetry install Activate the virtualenvironment with poetry shell (you can also use poetry run $command) Releasing a new version to pypi Edit pyproject.toml to update the version number Commit the version number bump Run poetry publish --build Push to GitHub Create a new release in GitHub Possible improvements Instead of checking one digit at a time, we could use a binary search-like algorithm. Eg. the following condition is equivalent to s3:ResourceAccount < 500000000000 "Condition": { "StringLike": {"s3:ResourceAccount": "0\*", "1\*", "2\*", "3\*", "4\*", },}, Similarly, there is a speed improvement possible by checking multiple digits per position in parallel (There is a small risk of being rate limited by STS when using this approach) In practice this tool should be fast enough in most cases. Download S3-Account-Search
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Dark Reading: Attacks/Breaches
Ransomware Losses Drive Up Cyber-Insurance Costs

Premiums have gone up by 7% on average for small firms and between 10% and 40% for medium and large businesses.