Releases: SubGlitch1/OSRipper
v0.3
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
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):
- New evasion options
- New RAT templates
- Potential Windows support?? (:
v0.2.3 Release
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
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
Trojanised the proccess in this release into pretending to be a system proccess
What's Changed
- Create CODE_OF_CONDUCT.md by @SubGlitch1 in #1
New Contributors
- @SubGlitch1 made their first contribution in #1
Full Changelog: v0.1.5...v0.1.6
v0.1.5 Release with crypter
Added crypter support to ssl tcp module
v0.1.4
This is the first version i actually redeem as release worthy
v0.1.3 Binaries
Compiled and tested on: Windows 11 64 bit
Compiled on pyinstaller
v0.1.2 Mac M1 binary release
This release was compiled with pyinstaller
i compiled and tested it on a macbook m1 arm64
V0.1.1
This is the first release.
I will publish the binaries for mac and windows as soon as github allows me to lol