Hacking on Medium
싸이월드 Anti-DDoS 셋팅 완료

https://cdn-images-1.medium.com/max/1537/1*AHf4SEv75UcA-cH1nG2ppQ.jpeg
싸이월드 8월 2일 아이디 찾기 서비스를 안정적으로 운영하기 위해 디도스 방어 옵션을 올렸습니다.

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Attacks on JSON Web Token (JWT)
https://anubhav-singh.medium.com/attacks-on-json-web-token-jwt-278a49a1ad2e?source=rss------bug_bounty-5

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In part1 of the article, I introduced JSON web tokens that what is JWT and How they are made?Continue reading on Medium » (https://anubhav-singh.medium.com/attacks-on-json-web-token-jwt-278a49a1ad2e?source=rss------bug_bounty-5)

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hacking: security in practice
I think this might be the right subreddit for this

Okay so this one guy has been really homophobic to my friend over discord and kinda predatory. We came up with the idea to send him a virus (nothing serious or illegal just to spook him) over discord. Any idea how I might go about doing this? I've been messing around with grabify links but when you put a link into discord it will give a little preview of the site the link leads to.

submitted by /u/treelicker27
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hacking: security in practice
any takers?

i have a old instagram page from my childhood i want deleted. reply or dm if you can do this. willing to pay : must show proof of success

submitted by /u/Practical_Skill_9797
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hacking: security in practice
USB sdcard reader can it autodeploy software

Tittle says it all but touch more context. Can it be coded in a similar way to work as a USB rubber ducky

Just want a yes or no

submitted by /u/rextnzld
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How I bypassed website using Akamai waf
https://medium.com/@yusifceferov_/how-i-bypassed-website-using-akamai-waf-e4e907aeb161?source=rss------bug_bounty-5

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Hi Fiends. Today I will show you How I bypassed website using Akamai waf.Continue reading on Medium » (https://medium.com/@yusifceferov_/how-i-bypassed-website-using-akamai-waf-e4e907aeb161?source=rss------bug_bounty-5)

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How I escalate my Self-Stored XSS to Account Takeover with the help of IDOR
https://gonzx.medium.com/how-i-escalate-my-self-stored-xss-to-account-takeover-with-the-help-of-idor-f20733ecdbe9?source=rss------bug_bounty-5

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Good day to all Security Researchers and Bug Hunters again Im Jefferson Gonzales and today I will share my writeup about my findings on…Continue reading on Medium » (https://gonzx.medium.com/how-i-escalate-my-self-stored-xss-to-account-takeover-with-the-help-of-idor-f20733ecdbe9?source=rss------bug_bounty-5)

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How I bypassed website using Akamai waf

Hi Fiends. Today I will show you How I bypassed website using Akamai waf.Continue reading on Medium »
Read more...

How I escalate my Self-Stored XSS to Account Takeover with the help of IDOR

Good day to all Security Researchers and Bug Hunters again Im Jefferson Gonzales and today I will share my writeup about my findings on…Continue reading on Medium »
Read more...

KitPloit - PenTest Tools!
Ruse - Mobile Camera-Based Application That Attempts To Alter Photos To Preserve Their Utility To Humans While Making Them Unusable For Facial Recognition Systems

https://1.bp.blogspot.com/-VgWLhzhFkwg/YP8ve-xtNMI/AAAAAAAAoyk/1LWnhC8nZ0YYhmHM435a4OdENoHgRxuCwCNcBGAsYHQ/w640-h603/Ruse_7.png Mobile camera-based application that attempts to alter photos to preserve their utility to humans while making them unusable for facial recognition systems. Installation(1) Easy Method: Wait and download app from appropriate app store.

(2) Download and run ios app via XCode (see Development setup for more detail) Usage exampleApp is developed as a camera-based app, allowing for the modification of faces on new camera capture or current photos on camera roll with the goal of keeping them useful for social media and human consumption while making it difficult for facial recognition systems to utilize them accurately and effectively.

This is done through a variety of methods based on previous research. Due to the limits of mobile and TensorFlow Lite, learning on the device itself is not possible—so some of the more advanced techniques are not yet possible (but research and development may yield future results.)

Instructions on usage and a full video to come with first release.

The Jupyter notebook illustrates the "arbitrary fast style" adversarial technique that is possible on mobile: https://1.bp.blogspot.com/-OR3a-3dDEnk/YP8v8UmpxbI/AAAAAAAAoyw/u_pNsE97rVEamRzuLxr45kRs0yNvISO6wCNcBGAsYHQ/w640-h220/Ruse_6.png In the long term, this technique will be applied selectively (likey to segments of the photographs), along with perlin/simplex noise generated on a per image basis, a la https://github.com/kieranbrowne/camera-adversaria.

A variety of methods are used to conceal the faces from commerical recognition systems (e.g. arbitrary file transfer, perlin noise introduction). Before saving to the camera roll or being used for online purposes, an onboard facility checks to see if faces can be detected. https://1.bp.blogspot.com/-VgWLhzhFkwg/YP8ve-xtNMI/AAAAAAAAoyk/1LWnhC8nZ0YYhmHM435a4OdENoHgRxuCwCNcBGAsYHQ/w640-h603/Ruse_7.png The effect of these adversarial approaches may then be checked wihtout needing to have network access.

(Future versions plan on including a similar onboard estimation of how a sample recognition system fairs against the modified image (classification as opposed to merely detection.)) Development setupRequirements: Xcode 12

Pods installed as part of the process below: TensorFlow Lite (Swift nightly build) // GoogleMLKit // GPUImage3

* Download ios and model (tflite models) directory
* run "pod install" in the downloaded directory
* Open Ruse.xcworkspace

Installation to device is left as an excercise for the reader. Release History* 0.0.1
* Work in progress Furture work* web assembly offloading
* adjustment (independently) of simplex noise and style transfer
* onboard checking of facial classification (dependent on advancement of tensorflow lite, etc) MetaDistributed under the MIT license. See LICENSEfor more information. https://github.com/derrumbe/Ruse Download Ruse

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Ruse - Mobile Camera-Based Application That Attempts To Alter Photos To Preserve Their Utility To Humans While Making Them Unusable For Facial Recognition Systems

Mobile camera-based application that attempts to alter photos to preserve their utility to humans while making them unusable for facial recognition systems.Installation (1) Easy Method: Wait and download app from appropriate app store. (2) Download and run ios app via XCode (see Development setup for more detail) Usage example App is developed as a camera-based app, allowing for the modification of faces on new camera capture or current photos on camera roll with the goal of keeping them useful for social media and human consumption while making it difficult for facial recognition systems to utilize them accurately and effectively. This is done through a variety of methods based on previous research. Due to the limits of mobile and TensorFlow Lite, learning on the device itself is not possible—so some of the more advanced techniques are not yet possible (but research and development may yield future results.) Instructions on usage and a full video to come with first release. The Jupyter notebook illustrates the "arbitrary fast style" adversarial technique that is possible on mobile: In the long term, this technique will be applied selectively (likey to segments of the photographs), along with perlin/simplex noise generated on a per image basis, a la https://github.com/kieranbrowne/camera-adversaria. A variety of methods are used to conceal the faces from commerical recognition systems (e.g. arbitrary file transfer, perlin noise introduction). Before saving to the camera roll or being used for online purposes, an onboard facility checks to see if faces can be detected. The effect of these adversarial approaches may then be checked wihtout needing to have network access. (Future versions plan on including a similar onboard estimation of how a sample recognition system fairs against the modified image (classification as opposed to merely detection.)) Development setup Requirements: Xcode 12 Pods installed as part of the process below: TensorFlow Lite (Swift nightly build) // GoogleMLKit // GPUImage3 Download ios and model (tflite models) directory run "pod install" in the downloaded directory Open Ruse.xcworkspace Installation to device is left as an excercise for the reader. Release History 0.0.1 Work in progress Furture work web assembly offloading adjustment (independently) of simplex noise and style transfer onboard checking of facial classification (dependent on advancement of tensorflow lite, etc) Meta Distributed under the MIT license. See LICENSE for more information. https://github.com/derrumbe/Ruse Download Ruse
Read more...

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Hacking on Medium
[Hack] Find and Call function in a program without knowing it

https://cdn-images-1.medium.com/max/600/0*X_3W1-kWogwoHViP.png
In this example, we’ll try to hack the below program

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