Big news on the internet today as the United States Department of Justice wildly underestimated computer nerds
Mahmoud Al-Qudsi (mqudsi), the founder of NeoSmart Technologies, is a nerd who specializes in computer forensics. His entire career (dating back over 2 decades) has been focused almost exclusively on data forensics, data restoration, and data backups.
Because Mr. Al-Qudsi is a nerd who unironically enjoys painstakingly reviewing computer forensics at the byte level, something almost no one else on the planet enjoys, Mr. Al-Qudsi began exploring the recently released Epstein files.
Today he released a write-up explaining the problems with the Epstein redactions, errors they left in the PDF files, ... and all sorts of other artifacts the Department of Justice accidentally left behind. By leveraging these different digital artifacts, it is possible for experts such as Al-Qudsi to reconstruct the files without their redactions.
See subsequent post for his write-up
tl;dr he's reverse engineering and reconstructing epstein files. but hard and will take lots of work
pic: me trying to understand computer forensics based on fonts used
Mahmoud Al-Qudsi (mqudsi), the founder of NeoSmart Technologies, is a nerd who specializes in computer forensics. His entire career (dating back over 2 decades) has been focused almost exclusively on data forensics, data restoration, and data backups.
Because Mr. Al-Qudsi is a nerd who unironically enjoys painstakingly reviewing computer forensics at the byte level, something almost no one else on the planet enjoys, Mr. Al-Qudsi began exploring the recently released Epstein files.
Today he released a write-up explaining the problems with the Epstein redactions, errors they left in the PDF files, ... and all sorts of other artifacts the Department of Justice accidentally left behind. By leveraging these different digital artifacts, it is possible for experts such as Al-Qudsi to reconstruct the files without their redactions.
See subsequent post for his write-up
tl;dr he's reverse engineering and reconstructing epstein files. but hard and will take lots of work
pic: me trying to understand computer forensics based on fonts used
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vx-underground
Big news on the internet today as the United States Department of Justice wildly underestimated computer nerds Mahmoud Al-Qudsi (mqudsi), the founder of NeoSmart Technologies, is a nerd who specializes in computer forensics. His entire career (dating back…
The NeoSmart Files
Recreating uncensored Epstein PDFs from raw encoded attachments
There have been a lot of complaints about both the competency and the logic behind the latest Epstein archive release by the DoJ: from censoring the names of co-conspirators to censoring pictures o…
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The cool thing about this social media profile growing in size is that it now frequently escapes the core demographic. This has resulted in very silly shenanigans.
As many of my core audience knows, I frequently refer to my colleagues and peers as "nerds". I use it as a term of endearment.
Non-core audience perceives this as an insult. Furthermore, they do not seem to understand this social media profile primarily revolves around cybersecurity with an emphasis on malware. Hence, many tongue-in-cheeks jokes and sentences are misconstrued and misunderstood.
Things I've seen people call me:
- Jewish (I'm not Jewish, I'm not Israeli, ???)
- A boomer
- Homosexual slurs
- Intellectually Challenged
- A boot licker (???)
tl;dr log into xitter, get called retard piece of shit jew homo bootlicking scum because i called people nerds
As many of my core audience knows, I frequently refer to my colleagues and peers as "nerds". I use it as a term of endearment.
Non-core audience perceives this as an insult. Furthermore, they do not seem to understand this social media profile primarily revolves around cybersecurity with an emphasis on malware. Hence, many tongue-in-cheeks jokes and sentences are misconstrued and misunderstood.
Things I've seen people call me:
- Jewish (I'm not Jewish, I'm not Israeli, ???)
- A boomer
- Homosexual slurs
- Intellectually Challenged
- A boot licker (???)
tl;dr log into xitter, get called retard piece of shit jew homo bootlicking scum because i called people nerds
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vx-underground
The cool thing about this social media profile growing in size is that it now frequently escapes the core demographic. This has resulted in very silly shenanigans. As many of my core audience knows, I frequently refer to my colleagues and peers as "nerds".…
I'm not mad, or sad, or whatever. I am however profoundly confused.
Imagine changing a diaper, checking the Xitter, logging in, and you see a bunch of strangers calling you names and mean stuff
mfw
Imagine changing a diaper, checking the Xitter, logging in, and you see a bunch of strangers calling you names and mean stuff
mfw
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Conspiracy theorists going full theorist today. In the Department of Justice Epstein email releases it was discovered he played Fortnite.
Coincidentally, his Epic account was active after his death.
Coincidentally, his Epic account was active after his death.
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vx-underground
Conspiracy theorists going full theorist today. In the Department of Justice Epstein email releases it was discovered he played Fortnite. Coincidentally, his Epic account was active after his death.
Is Jeffrey Epstein actually alive? Is he a pro-gamer? Why hasn't he spent more money on V-bucks?
Find out next time on Dragon Ball Z
Find out next time on Dragon Ball Z
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Non-nerds are asking how Mr. Al-Qudsi (mqudsi) is working to reconstruct redacted Epstein data. Here is a high-level summary that isn't as nerdy schizo
Mega tl;dr
> Send email
> Add attachment
> Emails no understand files
> Email turn files in text (Base64 encoding*)
> Image 1 is email turning attachment into text
> Send email
> Someone receive email
> Email reads add-on text
> "oh thats an attachment"
> Transforms into attachment you can see (Base64 decoding*)
> DoJ releases Epstein emails
> Didn't censor attachment stuff
> hehe big mistake, we can recover this
> Boom, all attachments "censored" now uncensored
> All hidden attachments now public
> Go to work
> Problems arise
> DoJ printed emails (???)
> Scanned printed emails back (???)
> Try to rebuild from email stuff
> Fails
> wtf.mp4
> Look inside
> DoJ printed as "Courier New" font
> L and 1 look the same
> Try to reconstruct
> Fails
> Computer can't figure difference between L and 1
> (Look at image 2)
> Can you even tell the difference???
To manually reconstruct all attachments from Epstein emails data forensic experts must find a way to programmatically determine which characters are L's and which are 1's. This is only a problem because the DoJ printed it as Courier New.
Proposed solution right now is bruteforce. Try every possible combination, swapping L's and 1's, check email thing, does it work? No? Repeat. However, this could take a long time.
Another solution is taking known email encoded thingies that work and compare it to Epstein files. Try to identify patterns and reconstruct it using machine learning.
Mega tl;dr
> Send email
> Add attachment
> Emails no understand files
> Email turn files in text (Base64 encoding*)
> Image 1 is email turning attachment into text
> Send email
> Someone receive email
> Email reads add-on text
> "oh thats an attachment"
> Transforms into attachment you can see (Base64 decoding*)
> DoJ releases Epstein emails
> Didn't censor attachment stuff
> hehe big mistake, we can recover this
> Boom, all attachments "censored" now uncensored
> All hidden attachments now public
> Go to work
> Problems arise
> DoJ printed emails (???)
> Scanned printed emails back (???)
> Try to rebuild from email stuff
> Fails
> wtf.mp4
> Look inside
> DoJ printed as "Courier New" font
> L and 1 look the same
> Try to reconstruct
> Fails
> Computer can't figure difference between L and 1
> (Look at image 2)
> Can you even tell the difference???
To manually reconstruct all attachments from Epstein emails data forensic experts must find a way to programmatically determine which characters are L's and which are 1's. This is only a problem because the DoJ printed it as Courier New.
Proposed solution right now is bruteforce. Try every possible combination, swapping L's and 1's, check email thing, does it work? No? Repeat. However, this could take a long time.
Another solution is taking known email encoded thingies that work and compare it to Epstein files. Try to identify patterns and reconstruct it using machine learning.
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vx-underground
Non-nerds are asking how Mr. Al-Qudsi (mqudsi) is working to reconstruct redacted Epstein data. Here is a high-level summary that isn't as nerdy schizo Mega tl;dr > Send email > Add attachment > Emails no understand files > Email turn files in text (Base64…
Update: Random nerd (literally, they didn't leave a name or anything, just a random message to Al-Qudsi) said he magnified the text, enhanced, zoomed in (unironically some CSI Miami bullshit), and noticed slight differences in the characters virtually invisible to the human eye, but still present in the documents.
He was able to increase the darkness and make the L's and 1's more pronounced to possibly solve the problem. However, this would require manually fixing the documents.
He was able to increase the darkness and make the L's and 1's more pronounced to possibly solve the problem. However, this would require manually fixing the documents.
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Now that there is a tsunami of nerds trying to unredact Epstein file attachments, how long will it take for the weaponized autism to "crack the code" (solve the L = 1 problem), and release unredacted Epstein documents?
Anonymous Poll
32%
Less than 24 hours
40%
1 - 3 days
21%
A week or more
7%
Months
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vx-underground
Yesterday United States President Donald J. Trump commented that AI will be "bigger than the internet" and that the United States is "leading China by a lot". This confirmed many beliefs that the internet is dead. Indeed, as I write this very post, you yourself…
OMG AM I AI
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Chat, it's the space race. Except we're not racing to space, we're racing to programmatically decode attached Epstein email documents.
Last time on Dragon Ball Z: nerds noted that in the Epstein documents the DoJ failed to censor Base64 encoded email attachments. This means we have the means to extract the email attachments from the Epstein documents and see what is inside and uncensored.
Big problems occured. Upon further inspection nerds noted the Epstein documents use Corrier New. This font is a pain in the ass to work with. In summary, they cannot reliably tell the difference (programmatically) between an L and a 1.
Now we're off to the races. Who can solve it first and (probably) be murdered by a spooky shadowy government? (but have lots of clout on the internet)
The first proposed solution was brute force. Swap the L's and 1's, try every possible combination until it is successfully decoded. The problem with this method is that even a simple document has over 1,000,000 unique permutations. To swap every L and 1, try to decode, then test the file, would take (if your computer is fast as fuck boi) 3 seconds... so a small document would take (worse case scenario) 34 days to brute force.
The second proposed solution was transforming the PDF documents into high resolution images then programmatically enhancing the L's and 1's to make it easier to work with. While this sounds easy, it has proven to be challenging. Not all L's and 1's have the same characteristics visually. In other words, there's lots of edge cases that need to be accounted for. This will take a long time too.
The third proposed solution was using Claude or ChatGPT. While initially laughed it, Claude did have some minor success and did manage to successfully decode one document. Claude has subsequently failed on every other attempt thus far. Claude fails because of the points referenced in the proposed solution two up above (too many edge cases, font is inconsistent, not aligned, etc).
While nerds are off the races and working tirelessly to reverse engineer and decode these documents, internet non-nerds have also chimed in. Most notably by saying things such as:
- Why isn't it done yet?
- Just don't fix the L and 1
- This isn't hard, bro. I could do it
- You're doing it all wrong
While they remain critical, these people have not contributed meaningfully to the collective goal. I have no idea why they're back seat driving this project. It's actually very frustrating to read.
For reasons I do not understand, some people seem to be under the impression they're capable of solving a problem that hundreds, possibly thousands, of other people are actively trying to solve or are unable to solve.
Will nerds find a solution that works consistently? Will people on the internet stop back seat driving? Will we give up and instead do a mass brute force campaign? Is the government concerned by the tsunami wave of weaponized autism?
Find out next time on Dragon Ball Z
Last time on Dragon Ball Z: nerds noted that in the Epstein documents the DoJ failed to censor Base64 encoded email attachments. This means we have the means to extract the email attachments from the Epstein documents and see what is inside and uncensored.
Big problems occured. Upon further inspection nerds noted the Epstein documents use Corrier New. This font is a pain in the ass to work with. In summary, they cannot reliably tell the difference (programmatically) between an L and a 1.
Now we're off to the races. Who can solve it first and (probably) be murdered by a spooky shadowy government? (but have lots of clout on the internet)
The first proposed solution was brute force. Swap the L's and 1's, try every possible combination until it is successfully decoded. The problem with this method is that even a simple document has over 1,000,000 unique permutations. To swap every L and 1, try to decode, then test the file, would take (if your computer is fast as fuck boi) 3 seconds... so a small document would take (worse case scenario) 34 days to brute force.
The second proposed solution was transforming the PDF documents into high resolution images then programmatically enhancing the L's and 1's to make it easier to work with. While this sounds easy, it has proven to be challenging. Not all L's and 1's have the same characteristics visually. In other words, there's lots of edge cases that need to be accounted for. This will take a long time too.
The third proposed solution was using Claude or ChatGPT. While initially laughed it, Claude did have some minor success and did manage to successfully decode one document. Claude has subsequently failed on every other attempt thus far. Claude fails because of the points referenced in the proposed solution two up above (too many edge cases, font is inconsistent, not aligned, etc).
While nerds are off the races and working tirelessly to reverse engineer and decode these documents, internet non-nerds have also chimed in. Most notably by saying things such as:
- Why isn't it done yet?
- Just don't fix the L and 1
- This isn't hard, bro. I could do it
- You're doing it all wrong
While they remain critical, these people have not contributed meaningfully to the collective goal. I have no idea why they're back seat driving this project. It's actually very frustrating to read.
For reasons I do not understand, some people seem to be under the impression they're capable of solving a problem that hundreds, possibly thousands, of other people are actively trying to solve or are unable to solve.
Will nerds find a solution that works consistently? Will people on the internet stop back seat driving? Will we give up and instead do a mass brute force campaign? Is the government concerned by the tsunami wave of weaponized autism?
Find out next time on Dragon Ball Z
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