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Releases: SubGlitch1/OSRipper

v0.3

17 Jun 14:48
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This is the first v0.3 Release. The payloads will now be double staged in order to evade av detection. Please keep in mind that i develop on arch and only test on a few platforms so there are sure to be bugs and you should open issues for them. Biggest difference to last release is that this project isnt focused on macOS anymore but on all platforms. It also now features a web server on which the staged payload is stored. I will develop this server into a C2 to which data will be pushed from the victim. With this update the developtment is officially back in progress.

v0.2.4.1 STABLE Release

01 May 23:25
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Full Changelog: v0.2.3...v0.2.4

  • VT will now think the generated files are distributed by companies like microsoft (for macOS .apps)
  • Hid swiftbelt for better evasion

Next Release(s):

  1. New evasion options
  2. New RAT templates
  3. Potential Windows support?? (:

v0.2.3 Release

01 May 00:51
a47c59a
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Full Changelog: v0.2.2...v0.2.3
New:

  • Added Sandbox detection based on the sandboxed libary
  • Switched primary compiler from pyinstaller to nuitka
  • Minor design and speed improvments

v0.2.2 Release

29 Apr 15:02
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What's Changed

Full Changelog: v0.1.6...v0.2.2

New additions:

  • ✅ New Obfuscation Techniques
  • ✅ Added Pseudo-random File 'bloats' which make every Backdoor truely random and unique (helps immensely in getting down AV detection)
  • ✅ File obfuscation has also been made Pseudo-random (on top of the bloats)

v0.1.6 Release

05 Mar 23:51
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Trojanised the proccess in this release into pretending to be a system proccess

What's Changed

New Contributors

Full Changelog: v0.1.5...v0.1.6

v0.1.5 Release with crypter

04 Mar 18:34
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Added crypter support to ssl tcp module

v0.1.4

04 Mar 16:31
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This is the first version i actually redeem as release worthy

v0.1.3 Binaries

01 Mar 11:18
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Compiled and tested on: Windows 11 64 bit
Compiled on pyinstaller

v0.1.2 Mac M1 binary release

28 Feb 18:28
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This release was compiled with pyinstaller
i compiled and tested it on a macbook m1 arm64

V0.1.1

28 Feb 12:56
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This is the first release.
I will publish the binaries for mac and windows as soon as github allows me to lol